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Journal articles on the topic 'Emotion design'
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Curralo, Ana Filomena. "Emotive Form Design." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 11 (December 28, 2017): 205–13. http://dx.doi.org/10.18844/prosoc.v4i11.2876.
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Emotions are recognised as vital for human wellbeing and happiness, so are objects. However, studies on the practical use of emotions in product design remain limited. This academic project promoted the pedagogical encounter between emotions/dyads and the morphology/shape of products, based on the Plutchik’s Emotion Wheel. The purpose is to improve and develop future designers’ awareness of the emotive character of forms. In a visual thinking exercise, first-year students chose eight basic emotions to develop the forms of an ‘emotional chair’, drawing with pencil and paper to allow visual thinking and interpretation. The findings suggest that the Emotion Wheel is useful to reflect and manipulate forms to convey meaning, helping designers understand how to use emotive shapes for idea development and decision-making in the design process. This paper can contribute to teaching product design targeting emotional products, and offers guidance on how to evoke positive emotions through products. Keywords: Product design, drawing, emotions, forms.
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Brito, Pedro Quelhas, Sandra Torres, and Jéssica Fernandes. "What kind of emotions do emoticons communicate?" Asia Pacific Journal of Marketing and Logistics 32, no. 7 (December 10, 2019): 1495–517. http://dx.doi.org/10.1108/apjml-03-2019-0136.
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Purpose The purpose of this paper is to study the nature and concept of emoticons/emojis. Instead of taking for granted that these user-generated formats are necessarily emotional, we empirically assessed in what extent are they and the specificity of each one. Drawing on congruent mood state, valence core and emotion appraisal theories we expected a compatible statistical association between positive/negative/neutral emotional valence expressions and emoticons of similar valence. The positive emoticons were consistently associated with positive valence posts. Added to that analysis, 21 emotional categories were identified in posts and correlated with eight emoticons. Design/methodology/approach Two studies were used to address this question. The first study defined emoticon concept and interpreted their meaning highlighting their communication goals and anticipated effects. The link between emojis and emoticons was also obtained. Some emoticons types present more ambiguity than others. In the second study, three years of real and private (Facebook) posts from 82 adolescents were content analyzed and coded. Findings Only the neutral emoticons always matched neutral emotional categories found in the written interaction. Although the emoticon valence and emotional category congruence pattern was the rule, we also detected a combination of different valence emoticons types and emotion categories valence expressions. Apparently the connection between emoticon and emotion are not so obviously straightforward as the literature used to assume. The created objects designed to communicate emotions (emoticons) have their specific corresponding logic with the emotional tone of the message. Originality/value Theoretically, we discussed the emotional content of emoticons/emojis. Although this king of signals have an Asian origin and later borrowed from the western countries, their ambiguity and differing specificity have never been analyzed.
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Lee, Mikyoung, and Keum-Seong Jang. "Nurses’ emotions, emotion regulation and emotional exhaustion." International Journal of Organizational Analysis 27, no. 5 (November 4, 2019): 1409–21. http://dx.doi.org/10.1108/ijoa-06-2018-1452.
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Purpose The purpose of this study is to investigate the relations between emotion regulation (reappraisal and suppression), discrete emotions and emotional exhaustion among nurses. Design/methodology/approach A cross-sectional design was used with 168 nurses in South Korea. Structural equation modeling and path analysis were conducted for analysis. Findings Reappraisal correlated positively with enjoyment and pride and negatively with anxiety, anger and frustration, whereas suppression correlated negatively with enjoyment and positively with anxiety and frustration. Moreover, reappraisal was negatively associated with emotional exhaustion, whereas suppression was positively associated with it. Enjoyment was negatively related to emotional exhaustion, and anger and frustration were positively related to it. Enjoyment and frustration mediated the relation between emotion regulation and emotional exhaustion. Findings demonstrate the potentially beneficial influences of reappraisal as well as harmful impacts of suppression in the nursing context. Research limitations/implications This paper expands research on nurses’ emotion management by applying Gross’s emotion regulation framework rather than Hochschild’s emotional labor framework. The mediating result suggests that not only nurses but also hospital administrators and nurse managers should pay attention to nurses’ emotional experiences to improve nurses’ well-being and ultimately better nursing practice. This research can provide the basis for developing practical interventions to efficiently regulate nurses’ emotions. Originality/value This is the first study exploring the mediating role of emotions in the link between nurses’ emotion regulation and emotional exhaustion. It contributes to interdisciplinary research by integrating perspectives from psychological emotion and emotion regulation research into the nursing field.
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Yen, Hui Yun, Po Hsien Lin, and Rungtai Lin. "Emotional Product Design and Perceived Brand Emotion." International Journal of Advances in Psychology 3, no. 2 (2014): 59. http://dx.doi.org/10.14355/ijap.2014.0302.05.
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Hekkert, Paul, and Deana Mcdonagh. "Design and Emotion." Design Journal 6, no. 2 (July 2003): 1–3. http://dx.doi.org/10.2752/146069203789355453.
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McDonagh, Deana, Howard Denton, and Jonathan Chapman. "Design and emotion." Journal of Engineering Design 20, no. 5 (October 2009): 433–35. http://dx.doi.org/10.1080/09544820902915300.
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Norman, Don. "Emotion & design." Interactions 9, no. 4 (July 2002): 36–42. http://dx.doi.org/10.1145/543434.543435.
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Neckel, Sighard. "Emotion by design." Berliner Journal für Soziologie 15, no. 3 (September 2005): 419–30. http://dx.doi.org/10.1007/s11609-005-0208-1.
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Silvennoinen, Johanna M., and Jussi P. P. Jokinen. "Appraisals of Salient Visual Elements in Web Page Design." Advances in Human-Computer Interaction 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/3676704.
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Visual elements in user interfaces elicit emotions in users and are, therefore, essential to users interacting with different software. Although there is research on the relationship between emotional experience and visual user interface design, the focus has been on the overall visual impression and not on visual elements. Additionally, often in a software development process, programming and general usability guidelines are considered as the most important parts of the process. Therefore, knowledge of programmers’ appraisals of visual elements can be utilized to understand the web page designs we interact with. In this study, appraisal theory of emotion is utilized to elaborate the relationship of emotional experience and visual elements from programmers’ perspective. Participants (N=50) used 3E-templates to express their visual and emotional experiences of web page designs. Content analysis of textual data illustrates how emotional experiences are elicited by salient visual elements. Eight hierarchical visual element categories were found and connected to various emotions, such as frustration, boredom, and calmness, via relational emotion themes. The emotional emphasis was on centered, symmetrical, and balanced composition, which was experienced as pleasant and calming. The results benefit user-centered visual interface design and researchers of visual aesthetics in human-computer interaction.
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Quiroz, Juan Carlos, Elena Geangu, and Min Hooi Yong. "Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study." JMIR Mental Health 5, no. 3 (August 8, 2018): e10153. http://dx.doi.org/10.2196/10153.
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Background Research in psychology has shown that the way a person walks reflects that person’s current mood (or emotional state). Recent studies have used mobile phones to detect emotional states from movement data. Objective The objective of our study was to investigate the use of movement sensor data from a smart watch to infer an individual’s emotional state. We present our findings of a user study with 50 participants. Methods The experimental design is a mixed-design study: within-subjects (emotions: happy, sad, and neutral) and between-subjects (stimulus type: audiovisual “movie clips” and audio “music clips”). Each participant experienced both emotions in a single stimulus type. All participants walked 250 m while wearing a smart watch on one wrist and a heart rate monitor strap on the chest. They also had to answer a short questionnaire (20 items; Positive Affect and Negative Affect Schedule, PANAS) before and after experiencing each emotion. The data obtained from the heart rate monitor served as supplementary information to our data. We performed time series analysis on data from the smart watch and a t test on questionnaire items to measure the change in emotional state. Heart rate data was analyzed using one-way analysis of variance. We extracted features from the time series using sliding windows and used features to train and validate classifiers that determined an individual’s emotion. Results Overall, 50 young adults participated in our study; of them, 49 were included for the affective PANAS questionnaire and 44 for the feature extraction and building of personal models. Participants reported feeling less negative affect after watching sad videos or after listening to sad music, P<.006. For the task of emotion recognition using classifiers, our results showed that personal models outperformed personal baselines and achieved median accuracies higher than 78% for all conditions of the design study for binary classification of happiness versus sadness. Conclusions Our findings show that we are able to detect changes in the emotional state as well as in behavioral responses with data obtained from the smartwatch. Together with high accuracies achieved across all users for classification of happy versus sad emotional states, this is further evidence for the hypothesis that movement sensor data can be used for emotion recognition.
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Marwa, Mentari. "Efek Pelatihan Pemahaman Emosi Pada Anak Retardasi Mental Ringan di SLBN Pembina Yogyakarta." Journal An-Nafs: Kajian Penelitian Psikologi 3, no. 2 (December 29, 2018): 208–26. http://dx.doi.org/10.33367/psi.v3i2.627.
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Mild mental retardation. The method used to practice understanding the log using log cards. The child is asked to hold the emotion card correctly, answer the emotion that is being shown by the character on the emotional card, demonstrating the emotions everyday, then identifying an event or situation based on emotion. This study used a quasi experimental design with two subjects who had been diagnosed with mild mental retardation. The results obtained were that emotional understanding training had an effect in increasing emotional understanding in the first subject but did not have an effect on understanding emotions in the second subject.
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Wang, Jianmin, Yujia Liu, Yuxi Wang, Jinjing Mao, Tianyang Yue, and Fang You. "SAET: The Non-Verbal Measurement Tool in User Emotional Experience." Applied Sciences 11, no. 16 (August 17, 2021): 7532. http://dx.doi.org/10.3390/app11167532.
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In this paper, the development process and validation of a self-assessment emotion tool (SAET) is described, which establishes an emotion-assessment method to improve pictorial expression design. The tool is based on an emotion set of emotional-cognition-derived rules obtained from an OCC model proposed by Ortony, Clore, and Collins, and the emotion set and expression design are validated by numerical computation of the dimensional space pleasure–arousal–dominance (PAD) and the cognitive assessment of emotion words. The SAET consists of twenty images that display a cartoon figure expressing ten positive and ten negative emotions. The instrument can be used during interactions with visual interfaces such as websites, posters, cell phones, and vehicles, and allows participants to select interface elements that elicit specific emotions. Experimental results show the validity of this type of tool in terms of both semantic discrimination of emotions and quantitative numerical validation.
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Gutierrez, Alma Maria Jennifer, Anthony Shun Fung Chiu, and Rosemary Seva. "A Proposed Framework on the Affective Design of Eco-Product Labels." Sustainability 12, no. 8 (April 16, 2020): 3234. http://dx.doi.org/10.3390/su12083234.
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There was a shift in sustainability consumption in the last decade that stimulated new strategies for ecological friendly industries and new product innovations. Environmental labeling is a marketing technique used to inform consumers that a company has employed a process to protect the environment. However, uncertainty remains concerning how eco-labels influence consumers. Buying green products can elicit emotion in consumers. When consumers buy eco-products, they feel that they are helping save the environment. Products provide certain emotional benefits and therefore affect mood and behavior. This study aims to examine how consumers who differ in environmental attitudes respond to eco-labels. Aside from this, it wants to determine the intensity and type of emotions elicited by these kinds of products based on a certain set of pre-purchase emotions. These emotions are still unknown. Also, it proposes the Green Emotion Model (GEM) 2.0 that correlates environmental attitudes, visual attention towards these eco-labels, emotion and the desirability of purchasing a product. This framework proposes that the environmental attitudes and awareness of consumers are crucial for them to look for this eco-label on a product. These environmental labels should be able to capture the attention of consumers and thus will provoke positive emotions and lead to the purchase of an eco-product.
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Su, Sheng-Hsiung, Hao-Chiang Koong Lin, Cheng-Hung Wang, and Zu-Ching Huang. "Multi-Modal Affective Computing Technology Design the Interaction between Computers and Human of Intelligent Tutoring Systems." International Journal of Online Pedagogy and Course Design 6, no. 1 (January 2016): 13–28. http://dx.doi.org/10.4018/ijopcd.2016010102.
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In this paper, the authors are using emotion recognition in two ways: facial expression recognition and emotion recognition from text. Through this dual-mode operation, not only can strength the effects of recognition, but also increase the types of emotion recognition to handle the learning situation smoothly. Through the training of image processing to identify facial expression, the emotion from text is identifying by emotional keywords, syntax, semantics and calculus with logic. The system identify learns' emotions and learning situations by analyzing, choosing the appropriate instructional strategies and curriculum content, and through agents to communicate between user and system, so that learners can get a well learning. This study uses triangular system evaluation methods, observation, questionnaires and interviews. Experimental design to the subjects by the level of awareness on art and non-art to explore the traditional teaching, affective tutoring system and no emotional factors learning course website these three kinds of ways to get results, analysis and evaluate the data.
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Zulkifli, S. Filzah, CW Shiang, N. Jali, and M. A. Khairuddin. "Modelling emotion expression through agent oriented methodology." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 2 (November 1, 2019): 972. http://dx.doi.org/10.11591/ijeecs.v16.i2.pp972-977.
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<span>This paper presents Modelling Emotion Expression through Agent Oriented Methodology. Considering emotions of the intended users in the software engineering can uncover new requirements to improve and more accepted the system. While emotion is paying much attention nowadays, there is lacking systematic way to model the emotion based system. Without the systematic approach, it is hard to debug, design and develop an emotion based system. Since the emotional requirement of people has not being fully investigated, the research outcome propose the emotion modelling as part of the complete set of agent-oriented modelling for virtual character in eLearning system, The contribution of this paper is to introduce agent oriented modelling to systematic model an emotion based solution for an eLearning system and instructional video design. With the emotion model, it can serve as a guide to design, redesign, and discuss the emotion elements among the software development team. This is important for better debugging and project management especially for emotion led system.</span>
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Yang, Guo Liang, Jin Hui Zhang, and Hui Sun. "Design of Emotional Interaction System Based on Affective Computing Model." Applied Mechanics and Materials 198-199 (September 2012): 367–73. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.367.
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An emotional interaction system is designed by using the theories about affective computing in this paper, which includes the emotional information capturing, machine emotional model and emotional expression. This paper focuses on the problem of building machine emotional model, not only gives the basic definitions of personality space, mood space, and emotion space, but also establishes the quantitative relationship of personality mood and emotion. At last, this paper builds a machine affective model which can reflect the transformation law of the mood, emotion and personality. Related simulation results show that the model can effectively simulates the change law of human emotion. Finally, this paper designs the software interface of the emotional interaction system.
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Alaniz, Teresa, and Stefano Biazzo. "A Language for Dealing with Emotions in Product Innovation: A Proposal." International Journal of Applied Research in Management and Economics 2, no. 2 (September 6, 2020): 47–56. http://dx.doi.org/10.33422/ijarme.v2i2.416.
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The knowledge of emotions is essential in a wide spectrum of designs created for the customer (e.g. product design, service design, graphic design, food design). The complexity of designing a product-service system to provoke intended emotions involves the need to formulate a shareable, natural, and unambiguous language. This paper presents a language framework to discuss emotions in product innovation, which is composed of three key concepts: the human-product emotional interactions, a categorization of positive emotions and the emotional-jobs-to-be-done. An exploratory survey with an international community of designers has been implemented in order to review the acceptance and understanding of this framework. The results of the exploratory survey have been the basis of the final refinement of the proposed language, which consists of 1) three categories of human-product emotional interaction, 2) 19 positive emotion types, and 3) 19 emotional jobs-to-done.
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Sarry, Septi Mayang, and Eka Ervika. "Parental Emotional Coaching untuk Meningkatkan Kemampuan Menghadapi Emosi Negatif Anak Tunarungu." Prosiding Penelitian dan Pengabdian kepada Masyarakat 5, no. 2 (August 13, 2018): 117. http://dx.doi.org/10.24198/jppm.v5i2.18374.
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AbstrakPenelitian ini bertujuan untuk mengetahui perbedaan kemampuan orangtua dalam menghadapi anak yang memiliki emosi negatif sebelum dan sesudah mengikuti program parental emotional coahing. Hasil dari penelitian ini menunjukan parental emotional coaching efektif bagi orangtua untuk meningkatkan kemampuan menghadapi emosi negatif anak tunarungu. Penelitian ini merupakan quasi eksperimen yang diukur dengan Coping with Children’s Emotion Scale (CCNES) dari Fabes dan koleganya (1990-an) yang mengambarkan 6 respon orangtua dalam menghadapi emosi negatif anak yaitu problem focused reaction, emotion focused reaction, expressive encouragement, minimization reaction, punitive reaction, distress reaction. Dua respon pertama yaitu, problem focused reaction, emotion focused reaction merupakan suatu respon yang mendukung untuk bisa menghadapi emosi negatif anak secara efektif. Modul program parental emotional coaching disusun berdasarkan teori Gottman (dalam Cook, 2004). AbstractThis research aimed to determine differences in the ability of parents in dealing with children with hearing negative emotions before and after parental emotional coaching program. Parental emotional coaching aimed to coach parents come be a emotional coacher in dealing children’s negative emotion. Measurements were made with Coping with Children's Emotion Scale (CCNEs ) of Fabes and colleagues ( 1990 ) describing 6 responses of parents in dealing with negative emotions children are problem focused reaction, emotion focused reaction, expressive encouragement, minimization reaction, punitive reaction, distress reaction. The first two responses , namely , reaction problem focused , emotion focused reaction is a response to support the child could face negative emotions effectively . Parental emotional coaching program modules compiled based on Gottman 's theory ( in Cook , 2004). This research use quasi experiment design. The results of this study indicate that parental emotional coaching effectively to improve the ability to deal with negative emotions deaf children.
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Ho, Amic G., and Kin Wai Michael Siu. "Explore the Role of Emotion in Design: Empirical Study to Understand the Perception on Emotion Design, Emotional Design, Emotionalise Design from the Designers’ Perspectives." Design Principles and Practices: An International Journal—Annual Review 5, no. 3 (2011): 367–78. http://dx.doi.org/10.18848/1833-1874/cgp/v05i03/38060.
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Turumogan, Punitha, Aslina Baharum, Ismassabah Ismail, Nor Azida Mohamed Noh, Nur Shahida Ab Fatah, and Noorsidi Aizuddin Mat Noor. "Evaluating users’ emotions for Kansei-based Malaysia higher learning institution website using Kansei checklist." Bulletin of Electrical Engineering and Informatics 8, no. 1 (March 1, 2019): 328–35. http://dx.doi.org/10.11591/eei.v8i1.1448.
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Emotions play a crucial role in human-computer interaction. Emotion research in the field of human-computer interaction has only started recently and continuously evolving through the investigation and understanding of emotional effects. Thus, it forms an intelligent interaction between human and computer by responding effectively to the humans’ feelings. Emotional design generates remarkable user experiences for websites as the emotional experiences create an intense impression on our long-term memory. Recent scientific findings recommend emotional elements to be considered in designing websites as emotions influences one’s perception, conception and decision-making throughout the interaction with a website. A poorly designed user interface leads to bad user interaction while rising the users’ arousal and a displeasing user experience with a website elicits dissatisfaction emotion where consecutively results in avoidance and prevents revisit to the website. This proves the importance of emotional engagement in a website design. This research evaluated users’ emotions toward a Malaysian higher learning institution website which was designed in accordance with the standard Kansei-based web design guideline. The result justified the standard Kansei-based web design guideline for website of higher learning institutions in Malaysia.
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Yang, Chun Qing. "Emotional Design of Modern Products Reflect." Advanced Materials Research 712-715 (June 2013): 2925–28. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2925.
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The pursuit of modern product design is health, environmental protection, efficiency, comfortable.In a sense, product design is a kind of emotional design.Research on modern product design emotional transfer activity at the same time, design activity is also a kind of emotional.Emotional design in modern product design contains a lot of content, research on the national sentiment of the large, respect for nature's emotional expression, specific to the study of personal feelings, taste; research on emotional or design process, use process, this study has shown for a country, a nation, a specific group of people, a respect for individuality, humanization design. This article research the modern design from the national emotion, emotion, emotional expression, on several natural appeal and emotional .
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Weerdesteijn, Jeske M. W., Pieter M. A. Desmet, and Mathieu A. Gielen. "Moving Design: To Design Emotion Through Movement." Design Journal 8, no. 1 (March 2005): 28–40. http://dx.doi.org/10.2752/146069205789338324.
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Topal, Kamil, and Gultekin Ozsoyoglu. "Emotional classification and visualization of movies based on their IMDb reviews." Information Discovery and Delivery 45, no. 3 (August 21, 2017): 149–58. http://dx.doi.org/10.1108/idd-05-2017-0045.
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Purpose The purpose of this study is to detect these reviews’ complex emotions, visualize and analyze them. Movie reviewers’ moviescores and reviews can be analyzed with respect to their emotion content, aggregated and projected onto a movie, resulting in an emotion map for a movie. It is then possible for a moviegoer to choose a movie, not only on the basis of movie scores and reviews, but also on the basis of aggregated emotional outcome of a movie as reflected by its emotion map displaying certain emotion map patterns desirable for the moviegoer. Design/methodology/approach The authors use the hourglass of emotion model to find the emotional scores of words of a review, then they use singular value decomposition to reduce the data dimension into singular scores. Once, they have the emotional scores of reviews, the authors cluster them by using k-means algorithm to find similar emotional levels of movies. Finally, the authors use heat maps to visualize four dimensions in a figure. Findings The authors are able to find the emotional levels of movie reviews, represent them in single scores and visualize them. The authors look the similarities and dissimilarities of movies based on their genre, ranking and emotional statuses. They also find the closest emotion levels of movies to a given movie. Originality/value The authors detect complex emotions from the text and simply visualize them.
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Bryson, Joanna J., and Emmanuel Tanguy. "Simplifying the Design of Human-Like Behaviour." International Journal of Synthetic Emotions 1, no. 1 (January 2010): 30–50. http://dx.doi.org/10.4018/jse.2010101603.
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Human intelligence requires decades of full-time training before it can be reliably utilized in modern economies. In contrast, AI agents must be made reliable but interesting in relatively short order. Realistic emotion representations are one way to ensure that even relatively simple specifications of agent behavior will be expressed with engaging variation, and those social and temporal contexts can be tracked and responded to appropriately. We describe a representation system for maintaining an interacting set of durative states to replicate emotional control. Our model, the Dynamic Emotion Representation (DER), integrates emotional responses and keeps track of emotion intensities changing over time. The developer can specify an interacting network of emotional states with appropriate onsets, sustains, and decays. The levels of these states can be used as input for action selection, including emotional expression. We present both a general representational framework and a specific instance of a DER network constructed for a virtual character. The character’s DER uses three types of emotional state as classified by duration timescales, keeping with current emotional theory. We demonstrate the system with a virtual actor. We also demonstrate how even a simplified version of this representation can improve goal arbitration in autonomous agents.
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Ma, Hui, and Jian Shi Wang. "The Study of Emotional Design and Its Spatial Characteristics." Advanced Materials Research 450-451 (January 2012): 1451–55. http://dx.doi.org/10.4028/www.scientific.net/amr.450-451.1451.
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Effective investigation attempts at the relationship between emotion and spatial design have been made in this paper which lists the significant impact of emotion upon interior design, emphasizes the emotional elements in design and advocates an emotional design concept. This paper pinpoints the goal of emotional design by demonstrating with examples the emotional characteristics and discusses the interplay between substance and the mind It seeks poetic residence design concepts and aims at interior design development toward the future.
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Oh, SeungJun, Jun-Young Lee, and Dong Keun Kim. "The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals." Sensors 20, no. 3 (February 6, 2020): 866. http://dx.doi.org/10.3390/s20030866.
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This study aimed to design an optimal emotion recognition method using multiple physiological signal parameters acquired by bio-signal sensors for improving the accuracy of classifying individual emotional responses. Multiple physiological signals such as respiration (RSP) and heart rate variability (HRV) were acquired in an experiment from 53 participants when six basic emotion states were induced. Two RSP parameters were acquired from a chest-band respiration sensor, and five HRV parameters were acquired from a finger-clip blood volume pulse (BVP) sensor. A newly designed deep-learning model based on a convolutional neural network (CNN) was adopted for detecting the identification accuracy of individual emotions. Additionally, the signal combination of the acquired parameters was proposed to obtain high classification accuracy. Furthermore, a dominant factor influencing the accuracy was found by comparing the relativeness of the parameters, providing a basis for supporting the results of emotion classification. The users of this proposed model will soon be able to improve the emotion recognition model further based on CNN using multimodal physiological signals and their sensors.
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Sanad, Reham. "A Study of the Factors Affecting Colour Meaning and Emotional Response." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 11 (December 27, 2017): 11–22. http://dx.doi.org/10.18844/prosoc.v4i11.2844.
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Colour design research studies are concerned with identifying colour preferences and emotion elicited by colours, and a deep understanding of the aspects shaping these emotions will lead to better exploitation of colour design. This study highlights the aspects that contribute to human emotional response to colour. Hue, brightness and chroma are colour attributes used in different colour model identifying colours. Brightness and chroma in most studies affect the hue on colour emotion association. Colour context, texture and size are also discussed in terms of contribution to colour motion response. Other factors such as time span and culture impact the colour emotion link and aspects related to humans including personality, age, gender and preference to colour and/or emotion are discussed. The findings of this research will benefit marketers and designers to understand the effective usage of colour in design making in its aesthetical and functional aspects. Keywords: Colour attributes, age, sex, preference, culture, context, education, religion, personality, colour context.
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Ho, Amic G., and Kin Wai Michael G. Siu. "Emotion Design, Emotional Design, Emotionalize Design: A Review on Their Relationships from a New Perspective." Design Journal 15, no. 1 (March 2012): 9–32. http://dx.doi.org/10.2752/175630612x13192035508462.
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Huang, Robin, Na Liu, Mary Ann Nicdao, Mary Mikaheal, Tanya Baldacchino, Annabelle Albeos, Kathy Petoumenos, Kamal Sud, and Jinman Kim. "Emotion sharing in remote patient monitoring of patients with chronic kidney disease." Journal of the American Medical Informatics Association 27, no. 2 (October 21, 2019): 185–93. http://dx.doi.org/10.1093/jamia/ocz183.
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Abstract Objective To investigate the relationship between emotion sharing and technically troubled dialysis (TTD) in a remote patient monitoring (RPM) setting. Materials and Methods A custom software system was developed for home hemodialysis patients to use in an RPM setting, with focus on emoticon sharing and sentiment analysis of patients’ text data. We analyzed the outcome of emoticon and sentiment against TTD. Logistic regression was used to assess the relationship between patients’ emotions (emoticon and sentiment) and TTD. Results Usage data were collected from January 1, 2015 to June 1, 2018 from 156 patients that actively used the app system, with a total of 31 159 dialysis sessions recorded. Overall, 122 patients (78%) made use of the emoticon feature while 146 patients (94%) wrote at least 1 or more session notes for sentiment analysis. In total, 4087 (13%) sessions were classified as TTD. In the multivariate model, when compared to sessions with self-reported very happy emoticons, those with sad emoticons showed significantly higher associations to TTD (aOR 4.97; 95% CI 4.13–5.99; P = < .001). Similarly, negative sentiments also revealed significant associations to TTD (aOR 1.56; 95% CI 1.22–2; P = .003) when compared to positive sentiments. Discussion The distribution of emoticons varied greatly when compared to sentiment analysis outcomes due to the differences in the design features. The emoticon feature was generally easier to understand and quicker to input while the sentiment analysis required patients to manually input their personal thoughts. Conclusion Patients on home hemodialysis actively expressed their emotions during RPM. Negative emotions were found to have significant associations with TTD. The use of emoticons and sentimental analysis may be used as a predictive indicator for prolonged TTD.
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von Koskull, Catharina, Tore Strandvik, and Bård Tronvoll. "Emotional strategizing in service innovation." Management Decision 54, no. 2 (March 21, 2016): 270–87. http://dx.doi.org/10.1108/md-06-2014-0339.
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Purpose – The purpose of this paper is to shed light on an aspect of service innovation processes that has remained fairly hidden so far, namely, the role of emotions. Design/methodology/approach – The authors use the strategizing approach from strategy research, which focusses on detailed processes, practices, and discourse, to understand the influence of emotions on service innovation processes. The empirical data stem from a longitudinal ethnographic study of a service innovation process. Findings – In the investigated case, the dominant emotion of anxiety is revealed. The authors focus on this emotion in order to explore how it affects the innovation process itself and the outcome. The authors identify five emotion-driven practices that form elements of what the authors label emotional strategizing. Practical implications – Emotion seems to give energy and direction to the service innovation process. This is both positive and challenging for top-level managers. Originality/value – The authors reveal a hidden aspect of service innovation processes – the effect of emotions. Furthermore, the authors show that emotions are important because they give energy and direction to the innovation work, and emerge in practices. Emotional strategizing, as a new term, gives visibility to this important issue.
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Anderson, Cary. "Quantifying Emotion: Survey Methods and Sentiment Analysis in Cartographic Design Research." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-8-2019.
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<p><strong>Abstract.</strong> Despite the strong connection between art and emotion &ndash; and cartography’s position as both an art and a science &ndash; only recently has there been a strong call for cartographers to partake in research related to maps and emotion (Griffin and McQuoid 2012). Such research can typically be classified into one of three categories: (1) maps of emotions (i.e., visualizations of spaces as happy or fearful), (2) maps as tools for the collection of emotive data, and (3) affective responses to maps (Griffin and McQuoid). Of these, the first two have been the primary focus of most recent research in emotive cartography; this research has benefited greatly from the proliferation of participatory web-based technologies such as social media, smart phones, and fitness activity trackers.</p><p>The third category of affective map research &ndash; the study of emotional responses to maps &ndash; has received less attention, though some notable work (e.g., Fabrikant et al. 2012) has highlighted its importance. We suggest that such research on affective responses to maps might also benefit from an increased reliance on web-based data collection techniques. There has been, for example, a recent increase in the use of online crowdsourcing platforms such as Amazon Mechanical Turk for cartographic and related visual perception research (e.g., Heer and Bostock 2010; Limpisathian 2017). Such platforms decrease the cost of participant recruitment and survey dissemination, while facilitating easier testing of samples outside of the traditional undergraduate student subject pool.</p><p>Given the inherently personal and subjective nature of emotions, the use of crowdsourced samples to measure affective responses to maps poses an interesting dilemma. How might cartographers assess the emotive nature of maps and mapping products via participant samples that are both geographically dispersed and impersonal by design? As a case study, we present a user study recently conducted to measure participant responses to <i>affectively-congruent</i> (vs. incongruent) chorochromatic maps. By <i>affectively-congruent</i>, we mean maps with data topics whose emotive content is in harmony with the emotive nature of the colour scheme. For example, a thematic map about homicide with dull, muted, colours would be considered affectively-congruent, while one with bright, highly-saturated colours would be considered incongruent (Figure 1).</p><p>In this work, we discuss two contrasting methods for collecting and analysing emotive participant interpretations of these maps. First, with closed-ended survey questions, wherein study participants are asked to rate how much a map exhibits a type of emotion (e.g., positive). In our study, we used a modified 7-point version of the <i>Affective Slider</i>, a tool developed by Betella and Verschure (2016) for measuring emotion in web-based surveys. Thus, due to our 7-point scale, participants classified their rating of a map’s emotive content into one of 7 ranked categories. We use a between-subjects design and analysed participant responses using non-parametric tests.</p><p>The second method we discuss for analysing affective response to maps is the collection of free-form responses from survey respondents, followed by the classification of these responses using sentiment analysis. In our study, we asked participants to provide three words they would use to describe each map. We then categorized these responses as either positive, negative, or neutral using the <i>ParallelDots</i> Sentiment Analysis API. Thus, we did not ask participants to classify a map’s level of emotion specifically, but rather collected their more instinctive responses and categorized them later using text classification algorithms.</p><p>Following a discussion of the respective merits and drawbacks of these methods, we discuss how the selection of one of these contrasting approaches might influence affective cartographic research results. For example, in our study, while the Affective Slider proved a more efficient tool for analysing between-subject variance in emotive rankings of maps, sentiment analysis of free-form responses facilitated better analysis of within-subject variance. One participant, for example, listed both “exciting” and “depressing” in response to a single affectively-incongruent map, highlighting the confusion that can be triggered by a map with an incongruent design.</p><p>In closing, we discuss the multitude of challenges introduced by these methods &ndash; including the false precision sometimes provided by fine-grained survey scales and complex algorithms, and the paradoxical nature of personal data collection via anonymous participants. But despite these challenges we propose that crowdsourced surveys show strong promise for quantitative affective mapping research: future work is likely to result in new, exciting insights into user’s affective responses to maps and mapping products.</p>
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Wei, Yuan, and Jing Zhao. "Designing robot behavior in human robot interaction based on emotion expression." Industrial Robot: An International Journal 43, no. 4 (June 20, 2016): 380–89. http://dx.doi.org/10.1108/ir-08-2015-0164.
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Purpose This paper aims to deal with the problem of designing robot behaviors (mainly to robotic arms) to express emotions. The authors study the effects of robot behaviors from our humanoid robot NAO on the subject’s emotion expression in human–robot interaction (HRI). Design/methodology/approach A method to design robot behavior through the movement primitives is proposed. Then, a novel dimensional affective model is built. Finally, the concept of action semantics is adopted to combine the robot behaviors with emotion expression. Findings For the evaluation of this combination, the authors assess positive (excited and happy) and negative (frightened and sad) emotional patterns on 20 subjects which are divided into two groups (whether they were familiar with robots). The results show that the recognition of the different emotion patterns does not have differences between the two groups and the subjects could recognize the robot behaviors with emotions. Practical implications Using affective models to guide robots’ behavior or express their intentions is highly beneficial in human–robot interaction. The authors think about several applications of the emotional motion: improve efficiency in HRI, direct people during disasters, better understanding with human partners or help people perform their tasks better. Originality/value This paper presents a method to design robot behaviors with emotion expression. Meanwhile, a similar methodology can be used in other parts (leg, torso, head and so on) of humanoid robots or non-humanoid robots, such as industrial robots.
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Stubbersfield, Joseph M., Jamshid J. Tehrani, and Emma G. Flynn. "Chicken Tumours and a Fishy Revenge: Evidence for Emotional Content Bias in the Cumulative Recall of Urban Legends." Journal of Cognition and Culture 17, no. 1-2 (February 8, 2017): 12–26. http://dx.doi.org/10.1163/15685373-12342189.
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This study used urban legends to examine the effects of a cognitive bias for content which evokes higher levels of emotion on cumulative recall. As with previous research into content biases, a linear transmission chain design was used. One-hundred and twenty participants, aged 16–52, were asked to read and then recall urban legends that provoked both high levels and low levels of emotion and were both positively and negatively valenced. The product of this recall was presented to the next participant in a chain of three generations. A significant effect of emotion level on transmission fidelity was found with high emotion legends being recalled with significantly greater accuracy than low emotion legends. The emotional valence of a legend was found not to have any effect on cumulative recall; thus emotional biases in recall go beyond disgust and can incorporate other emotions such as amusement, interest and surprise. This study is the first to examine an emotion bias in cultural transmission as a general phenomenon without focusing on the emotion of disgust.
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Denham, Susanne Ayers, and Hideko Hamada Bassett. "Early childhood teachers’ socialization of children’s emotional competence." Journal of Research in Innovative Teaching & Learning 12, no. 2 (August 14, 2019): 133–50. http://dx.doi.org/10.1108/jrit-01-2019-0007.
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Purpose Emotional competence supports preschoolers’ social relationships and school success. Parents’ emotions and reactions to preschoolers’ emotions can help them become emotionally competent, but scant research corroborates this role for preschool teachers. Expected outcomes included: teachers’ emotion socialization behaviors functioning most often like parents’ in contributing to emotional competence, with potential moderation by socioeconomic risk. This paper aims to discuss this issue. Design/methodology/approach Participants included 80 teachers and 312 preschoolers experiencing either little economic difficulty or socioeconomic risk. Children’s emotionally negative/dysregulated, emotionally regulated/productive and emotionally positive/prosocial behaviors were observed, and their emotion knowledge was assessed in Fall and Spring. Teachers’ emotions and supportive, nonsupportive and positively emotionally responsive reactions to children’s emotions were observed during Winter. Hierarchical linear models used teacher emotions or teacher reactions, risk and their interactions as predictors, controlling for child age, gender and premeasures. Findings Some results resembled those parents’: positive emotional environments supported children’s emotion knowledge; lack of nonsupportive reactions facilitated positivity/prosociality. Others were unique to preschool classroom environments (e.g. teachers’ anger contributed to children’s emotion regulation/productive involvement; nonsupportiveness predicted less emotional negativity/dysregulation). Finally, several were specific to children experiencing socioeconomic risk: supportive and nonsupportive reactions, as well as tender emotions, had unique, but culturally/contextually explainable, meanings in their classrooms. Research limitations/implications Applications to teacher professional development, and both limitations and suggestions for future research are considered. Originality/value This study is among the first to examine how teachers contribute to the development of preschoolers’ emotional competence, a crucial set of skills for life success.
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TANGUY, EMMANUEL, PHILIP J. WILLIS, and JOANNA J. BRYSON. "A DYNAMIC EMOTION REPRESENTATION MODEL WITHIN A FACIAL ANIMATION SYSTEM." International Journal of Humanoid Robotics 03, no. 03 (September 2006): 293–300. http://dx.doi.org/10.1142/s0219843606000758.
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This paper presents the Dynamic Emotion Representation (DER), and demonstrates how an instance of this model can be integrated into a facial animation system. The DER model has been implemented to enable users to create their own emotion representation. Developers can select which emotions they include and how these interact. The instance of the DER model described in this paper is composed of three layers, each representing states changing over different time scales: behavior activations, emotions and moods. The design of this DER is discussed with reference to emotion theories and to the needs of a facial animation system. The DER is used in our Emotionally Expressive Facial Animation System (EE-FAS) to produce emotional expressions, to select facial signals corresponding to communicative functions in relation to the emotional state of the agent and also in relation to the comparison between the emotional state and the intended meanings expressed through communicative functions.
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Lee, Sang Hwa, and Jung-Yoon Kim. "Classification of the Era Emotion Reflected on the Image Using Characteristics of Color and Color-Based Classification Method." International Journal of Software Engineering and Knowledge Engineering 29, no. 08 (August 2019): 1103–23. http://dx.doi.org/10.1142/s0218194019400114.
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Paintings convey the composition and characteristics of artists; therefore, it is possible to feel the intended style of painting and emotion of each artist through their paintings. In general, basic elements that constitute traditional paintings are color, texture, and composition (formative elements constituting the paintings are color and shape); however, color is the most crucial element expressing the emotion of a painting. In particular, traditional colors manifest the color containing historicity of the era, so the color shown in painting images is considered a representative color of the culture to which the painting belongs. This study constructed a color emotional system by analyzing colors and rearranged color emotion adjectives based on color combination techniques and clustering algorithm proposed by Kobayashi as well as I.R.I HUE & TONE 120 System. Based on the embodied color emotion system, this study confirmed classified emotions of images by extracting and classifying emotions from traditional Korean painted images, focusing on traditional painted images of the late Joseon Dynasty. Moreover, it was possible to verify the cultural traits of the era through the classified emotion images.
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Warrenburg, Lindsay A. "Choosing the Right Tune." Music Perception 37, no. 3 (February 1, 2020): 240–58. http://dx.doi.org/10.1525/mp.2020.37.3.240.
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When designing a new study regarding how music can portray and elicit emotion, one of the most crucial design decisions involves choosing the best stimuli. Every researcher must find musical samples that are able to capture an emotional state, are appropriate lengths, and have minimal potential for biasing participants. Researchers have often utilized musical excerpts that have previously been used by other scholars, but the appropriate musical choices depend on the specific goals of the study in question and will likely change among various research designs. The intention of this paper is to examine how musical stimuli have been selected in a sample of 306 research articles dating from 1928 through 2018. Analyses are presented regarding the designated emotions, how the stimuli were selected, the durations of the stimuli, whether the stimuli are excerpts from a longer work, and whether the passages have been used in studies about perceived or induced emotion. The results suggest that the literature relies on nine emotional terms, focuses more on perceived emotion than on induced emotion, and contains mostly short musical stimuli. I suggest that some of the inconclusive results from previous reviews may be due to the inconsistent use of emotion terms throughout the music community.
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Lee, Hyun-Ki, and Janghoon Yang. "Design of Character Emoticon based on Sex for Efficient Emotion Communication." Journal of Digital Contents Society 19, no. 9 (September 30, 2018): 1641–52. http://dx.doi.org/10.9728/dcs.2018.19.9.1641.
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Xiong, Haitao, Hongfu Liu, Bineng Zhong, and Yun Fu. "Structured and Sparse Annotations for Image Emotion Distribution Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 363–70. http://dx.doi.org/10.1609/aaai.v33i01.3301363.
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Label distribution learning methods effectively address the label ambiguity problem and have achieved great success in image emotion analysis. However, these methods ignore structured and sparse information naturally contained in the annotations of emotions. For example, emotions can be grouped and ordered due to their polarities and degrees. Meanwhile, emotions have the character of intensity and are reflected in different levels of sparse annotations. Motivated by these observations, we present a convolutional neural network based framework called Structured and Sparse annotations for image emotion Distribution Learning (SSDL) to tackle two challenges. In order to utilize structured annotations, the Earth Mover’s Distance is employed to calculate the minimal cost required to transform one distribution to another for ordered emotions and emotion groups. Combined with Kullback-Leibler divergence, we design the loss to penalize the mispredictions according to the dissimilarities of same emotions and different emotions simultaneously. Moreover, in order to handle sparse annotations, sparse regularization based on emotional intensity is adopted. Through combined loss and sparse regularization, SSDL could effectively leverage structured and sparse annotations for predicting emotion distribution. Experiment results demonstrate that our proposed SSDL significantly outperforms the state-of-the-art methods.
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Hadiana, Ana, Budi Permana, and Djajasukma Tjahjadi. "Kansei Approach in Development of Application Interface Design Based on User’s Emotional Feeling." European Journal of Engineering Research and Science 4, no. 10 (October 24, 2019): 121–26. http://dx.doi.org/10.24018/ejers.2019.4.10.1566.
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The emotional feeling of User plays major role in developping a web based application software especially when designing its interface, because it is one of important part of software that has position between system and user. The better interface the better impression to attract user to use it longer. This research applied Kansei Engineering to translate what user’s emotional feeling into application interface design component in order to show what user wants about interface. Kansei words related with user emotions are used to investigate user emotions when looking at appearance of interface of software. Data questionnaires are collected and processed using multivariate analysis, and then translated into detail interface design elements. This research found that four users’ emotional feeling related to helpdesk application, and the biggest impact of emotion in designing its interface is “Harmony”.
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Pérez, Carlos Herrera, and Ricardo Sanz. "Emotion as Morphofunctionality." Artificial Life 19, no. 1 (January 2013): 133–48. http://dx.doi.org/10.1162/artl_a_00086.
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We argue for a morphofunctional approach to emotion modeling that can also aid the design of adaptive embodied systems. By morphofunctionality we target the online change in both structure and function of a system, and relate it to the notion of physiology and emotion in animals. Besides the biological intuition that emotions serve the function of preparing the body, we investigate the control requirements that any morphofunctional autonomous system must face. We argue that changes in morphology modify the dynamics of the system, thus forming a variable structure system (VSS). We introduce some of the techniques of control theory to deal with VSSs and derive a twofold hypothesis: first, the loose coupling between two control systems, in charge of action and action readiness, respectively; second, the formation of patterned metacontrol. Emotional phenomena can be seen as emergent from this control setup.
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Ying, Fang Tian, Jian Xing Cai, Qi Wang, Ye Tao, Chao Chen, Ya Nan Wang, and Cheng Yao. "Cultural Design Method on Multi-Sensor Technology Design: A Case of Interactive Lamp Design." Applied Mechanics and Materials 321-324 (June 2013): 553–57. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.553.
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Emotion has inalienablerelationship with culture. Nowadays, there is an increasing tread in designersto integrate culture elements in product designs. Based on previous emotional design theory,we made a thorough analysis from three levels respectively: visceral level, behavior level and reflective level and tried to work out a culturaldesign method with the purpose of integrating culture withtechnologically industrial design. Subsequently, to validate this method, we developed an interactivelamp design with multi-sensor technology, which called “Lightceremony”, inspired by a specialcultural element, tea ceremony.
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Gaver, William. "Designing for emotion (among other things)." Philosophical Transactions of the Royal Society B: Biological Sciences 364, no. 1535 (December 12, 2009): 3597–604. http://dx.doi.org/10.1098/rstb.2009.0153.
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Using computational approaches to emotion in design appears problematic for a range of technical, cultural and aesthetic reasons. After introducing some of the reasons as to why I am sceptical of such approaches, I describe a prototype we built that tried to address some of these problems, using sensor-based inferencing to comment upon domestic ‘well-being’ in ways that encouraged users to take authority over the emotional judgements offered by the system. Unfortunately, over two iterations we concluded that the prototype we built was a failure. I discuss the possible reasons for this and conclude that many of the problems we found are relevant more generally for designs based on computational approaches to emotion. As an alternative, I advocate a broader view of interaction design in which open-ended designs serve as resources for individual appropriation, and suggest that emotional experiences become one of several outcomes of engaging with them.
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Jain, Shikha, and Krishna Asawa. "EMIA: Emotion Model for Intelligent Agent." Journal of Intelligent Systems 24, no. 4 (December 1, 2015): 449–65. http://dx.doi.org/10.1515/jisys-2014-0071.
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AbstractEmotions play a significant role in human cognitive processes such as attention, motivation, learning, memory, and decision making. Many researchers have worked in the field of incorporating emotions in a cognitive agent. However, each model has its own merits and demerits. Moreover, most studies on emotion focus on steady-state emotions than emotion switching. Thus, in this article, a domain-independent computational model of emotions for intelligent agent is proposed that have modules for emotion elicitation, emotion regulation, and emotion transition. The model is built on some well-known psychological theories such as appraisal theories of emotions, emotion regulation theory, and multistore human memory model. The design of the model is using the concept of fuzzy logic to handle uncertain and subjective information. The main focus is on primary emotions as suggested by Ekman; however, simultaneous elicitation of multiple emotions (called secondary emotion) is also supported by the model.
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Quiñones-Camacho, Laura E., Emily W. Shih, Scott V. Savage, Covadonga Lamar Prieto, and Elizabeth L. Davis. "Regulating emotions in two languages: How do emotion regulation strategies relate to physiological reactivity in emotional contexts?" International Journal of Bilingualism 23, no. 5 (June 20, 2018): 1106–20. http://dx.doi.org/10.1177/1367006918781074.
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Aims and Objectives/Purpose/Research Questions: Differences in how people regulate their emotions have been shown across cultures. Yet, whether bilinguals regulate emotions differently based on the language they are speaking is unknown, as is whether these regulatory choices relate to their physiology. The aim of this study was to assess whether self-reported use of emotion regulation strategies that promote emotional engagement would be associated with greater sympathetic arousal while describing emotional experiences for bilinguals. Design/Methodology/Approach: 99 Spanish–English bilinguals ( M = 20.8 years; SD = 2.11; 73 women) were interviewed about times they felt sad and afraid in both Spanish and English, and described what they did to regulate those emotions. Sympathetic nervous system physiology (pre-ejection period; PEP) was assessed continuously. The within-person experimental design enabled exploration of differences in regulation and physiology that were associated with talking about negative emotions in different languages. Data and Analysis: Emotion regulation strategies that indexed emotional engagement (e.g. cognitive reappraisal) were reliably coded from participant interviews. PEP reactivity was calculated as the change from a resting baseline to each language context. We used hierarchical linear regressions to test our hypotheses. Findings/Conclusions: We found that using fewer engagement strategies was associated with decreased sympathetic arousal, but only for people who were more physiologically aroused when at rest and only when participants were speaking English. Originality: This study is the first to show that bilinguals’ emotion regulatory attempts have different consequences across languages, highlighting how emotional processing is colored by cultural-linguistic lenses. Significance/Implications: These findings align with growing evidence that bilinguals’ physiological reactions to emotional events depend on the language context. Knowledge generated by this investigation contributes to our understanding of cross-cultural differences in people’s physiological arousal and emotional processing by highlighting these patterns among the understudied population of bilingual speakers.
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Yi, Minzhe, Defu Bao, and Yifan Mo. "Exploring the Role of Visual Design in Digital Public Health Safety Education." International Journal of Environmental Research and Public Health 18, no. 15 (July 28, 2021): 7965. http://dx.doi.org/10.3390/ijerph18157965.
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In this research, the positive role of interface visual design in digital safety education was verified taking COVID-19 prevention and control knowledge as the content of public health safety education, where interface emotion (positive, negative, and neutral) and interface layout (waterfall typed and juxtaposition typed) were regarded as independent variables, and readers’ understanding, course evaluation and system usability score were dependent variables. As revealed in the results of a 3 × 2 two-factor experiment in which 252 college students participated: first, different interface emotion can cause significantly different understanding, where negative emotion has the best learning transfer effect; second, due to the difference in interface emotion, participants may give certain courses significantly different evaluation scores, while positive emotional interface contributes to the obviously high scores of three course-evaluation items, “appeal of the lesson”, “enjoyment of the lesson” and “interface quality”; third, significantly different system usability can be caused by different interface layout, where waterfall-type layout enjoys higher appraisal from users; fourth, interface emotion and interface layout have a similar interactive effects in terms of “effort of the lesson” and “interface quality”, where waterfall-type layout is favored in terms of positive emotional interface, and juxtaposition-type layout is more advantageous in terms of negative emotional interface. These results are of vital significance for interface design and safety education. Further, the visual design method for interface emotion and interface layout were analyzed to determine the most suitable design principles so as to improve the effect of digital public health safety education and provide constructive ideas for fighting against COVID-19 at the educational level.
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Chen, Xiang, Ming Cao, Hua Wei, Zhongan Shang, and Linghao Zhang. "Patient Emotion Recognition in Human Computer Interaction System Based on Machine Learning Method and Interactive Design Theory." Journal of Medical Imaging and Health Informatics 11, no. 2 (February 1, 2021): 307–12. http://dx.doi.org/10.1166/jmihi.2021.3293.
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There are more and more human computer interaction systems (HCIS) in the medical field. Improving the service quality of HCIS and making them more intelligent is an inevitable trend in the future. Emotion recognition is of great significance for patients using HCIS. Some excellent HCIS not only satisfies the needs of patients, but also judges the emotional state of patients based on the results of emotional recognition, thereby providing more intimate medical services. Therefore, emotion recognition is crucial for HCIS. To effectively optimize the correct rate of emotion recognition, a novel emotion recognition framework based on machine learning is proposed. The core of the framework is to select the optimal classifier for different emotional data, and fuse the classification results of each classifier to get the global classification result. Experiments demonstrate that the proposed framework not only improves the accuracy of emotion recognition, but also improves the stability and reliability of the recognition results. The emotion recognition function based on the framework is applied to the HCIS design, so that the HCIS of the medical institution can better serve the patient during use, keep the patient happy, and improve the patient's happiness index and rehabilitation rate.
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Lee, Soo-Jin, and Ok-han Yoon. "Effect of Applied Design Thinking Courses." Korean Association of General Education 15, no. 4 (August 31, 2021): 205–15. http://dx.doi.org/10.46392/kjge.2021.15.4.205.
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This study examines learning outcomes by applying design thinking to logic and writing in the area of education, educational philosophy and in history classes. It also provides basic data on whether to expand the application to other classes. The results of the study are as follows: First, in creative thinking competency, the average score of the students was higher than before in all divergent thinking abilities, adventure and curiosity, intellectual inquiry, but not for original flexibility. The difference between the means was statistically significant (p < .05). Second, in emotional intelligence improvement, the average was higher than before in all forms of emotion recognition and expression, empathy, thinking promotion, and emotion utilization. Only with emotional regulation did the average score not increase. The difference between the means was statistically significant (p < .05). Third, design thinking was effective in five categories of learning outcomes. From this study, we found that using design thinking is meaningful in improving the ability of students to solve problems related to creative thinking and emotional intelligence.
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Bourassa, Maureen, Kelton Doraty, Loleen Berdahl, Jana Fried, and Scott Bell. "Support, opposition, emotion and contentious issue risk perception." International Journal of Public Sector Management 29, no. 2 (March 7, 2016): 201–16. http://dx.doi.org/10.1108/ijpsm-10-2015-0172.
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Purpose – Research on emotion in the context of risk perception has historically focused on negative emotions, and has emphasized the effect of these negative emotions on the perception of risk amongst those who oppose (rather than support) contentious issues. Drawing on theory, the purpose of this paper is to hypothesize that both positive and negative emotions are correlated with risk perceptions regarding contentious public issues and that this occurs amongst supporters and opponents alike. Design/methodology/approach – The paper explores the relationship between emotions and perceived risk through consideration of the highly contentious case of nuclear energy in Saskatchewan, Canada. The analysis uses data from a representative telephone survey of 1,355 residents. Findings – The results suggest that positive emotions, like negative emotions, are related to nuclear energy risk perceptions. Emotions are related to risk perception amongst both supporters and opponents. Research limitations/implications – The data set’s limited number of emotion measures and single public issue focus, combined with the survey’s cross-sectional design, make this research exploratory in nature. Future research should incorporate multiple positive emotions, explore opposition, and support across a range of contentious public issues, and consider experimental models to assess causal relationships. Practical implications – The paper offers insights into how public sector managers must be cognizant of the emotional underpinnings of risk perceptions amongst both supporters and opponents of contentious public issues. Originality/value – This paper builds on and expands previous work by considering both positive and negative emotions and both supporters and opponents of contentious issues.
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Lee, In-K., Suk-T. Seo, Hye-C. Jeong, and Soon-H. Kwon. "Design of an Artificial Emotion Model." Journal of Korean Institute of Intelligent Systems 17, no. 5 (October 25, 2007): 648–53. http://dx.doi.org/10.5391/jkiis.2007.17.5.648.
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