Relevant bibliographies by topics / Emoticon

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Emoticon'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 May 2022

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Journal articles on the topic "Emoticon"

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Merlina, Tina, Lia Maulia, and Rosaria Mita Amalia. "Verbal and Visual Expression of Emotions on Kaskus: a Semiotic Study." MIMBAR, Jurnal Sosial dan Pembangunan 29, no. 1 (June 20, 2013): 85. http://dx.doi.org/10.29313/mimbar.v29i1.373.

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This research investigates the types of emoticons which occured on Kaskus. This is a qualitative research. The writer take the data from Kaskus, therefore it is a forum in the internet which has grown to be one of the most popular websites in Indonesia. To identify the types of Emotions on Kaskus, the writer analyzed the data using Ekman (2003) . From the discussions, there are verbal and non verbal sign in the emoticons that appear on Kaskus. The meaning of verbal sign and nonverbal sign in emoticon “marah” represents anger emotion. Emoticon “Ngakak” and “thumbup” represent enjoyable emotion. Emoticon “Sorry” and “Cool” represent sadness emotion. For future studies need to be conducted with an increased sample by using another media such as Whatsapp, YM, etc.
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Liao, Songyang, Katsuaki Sakata, and Galina V. Paramei. "Color Affects Recognition of Emoticon Expressions." i-Perception 13, no. 1 (January 2022): 204166952210807. http://dx.doi.org/10.1177/20416695221080778.

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In computer-mediated communication, emoticons are conventionally rendered in yellow. Previous studies demonstrated that colors evoke certain affective meanings, and face color modulates perceived emotion. We investigated whether color variation affects the recognition of emoticon expressions. Japanese participants were presented with emoticons depicting four basic emotions (Happy, Sad, Angry, Surprised) and a Neutral expression, each rendered in eight colors. Four conditions (E1–E4) were employed in the lab-based experiment; E5, with an additional participant sample, was an online replication of the critical E4. In E1, colored emoticons were categorized in a 5AFC task. In E2–E5, stimulus affective meaning was assessed using visual scales with anchors corresponding to each emotion. The conditions varied in stimulus arrays: E2: light gray emoticons; E3: colored circles; E4 and E5: colored emoticons. The affective meaning of Angry and Sad emoticons was found to be stronger when conferred in warm and cool colors, respectively, the pattern highly consistent between E4 and E5. The affective meaning of colored emoticons is regressed to that of achromatic expression counterparts and decontextualized color. The findings provide evidence that affective congruency of the emoticon expression and the color it is rendered in facilitates recognition of the depicted emotion, augmenting the conveyed emotional message.
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Fujisawa, Akira, Kazuyuki Matsumoto, Minoru Yoshida, and Kenji Kita. "Emotion Estimation Method Based on Emoticon Image Features and Distributed Representations of Sentences." Applied Sciences 12, no. 3 (January 25, 2022): 1256. http://dx.doi.org/10.3390/app12031256.

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This paper proposes an emotion recognition method for tweets containing emoticons using their emoticon image and language features. Some of the existing methods register emoticons and their facial expression categories in a dictionary and use them, while other methods recognize emoticon facial expressions based on the various elements of the emoticons. However, highly accurate emotion recognition cannot be performed unless the recognition is based on a combination of the features of sentences and emoticons. Therefore, we propose a model that recognizes emotions by extracting the shape features of emoticons from their image data and applying the feature vector input that combines the image features with features extracted from the text of the tweets. Based on evaluation experiments, the proposed method is confirmed to achieve high accuracy and shown to be more effective than methods that use text features only.
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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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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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Urabe, Yuki, Rafal Rzepka, and Kenji Araki. "Emoticon Recommendation System to Richen Your Online Communication." International Journal of Multimedia Data Engineering and Management 5, no. 1 (January 2014): 14–33. http://dx.doi.org/10.4018/ijmdem.2014010102.

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Japanese emoticons are widely used to express users' feelings and intentions in social media, blogs and instant messages. Japanese smartphone keypads have a feature that shows a list of emoticons, enabling users to insert emoticons simply by touching them. However, this list of emoticons contains more than 200, which is difficult to choose from, so a method to reorder the list and recommend appropriate emoticons to users is necessary. This paper proposes an emoticon recommendation method based on the emotive statements of users and their past selections of emoticons. The system is comprised of an affect analysis system and an original emoticon database: a table of 59 emoticons numerically categorized by 10 emotion types. The authors' experiments showed that 73.0% of chosen emoticons were among the top five recommended by the system, which is an improvement of 43.5% over the method used in current smartphones, which is based only on users' past emoticon selections.
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Tinambunan, Gusmariani, and Suharjito. "SENTIMENT ANALYSIS OF INDONESIA’S DIGITAL WALLET USING COMBINATION MACHINE LEARNING AND EMOTICON WEIGHT." Jurnal Ilmiah Teknologi dan Rekayasa 26, no. 3 (2021): 170–82. http://dx.doi.org/10.35760/tr.2021.v26i3.5266.

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Opinions on social media can be used to determine user sentiment by using sentiment analysis concept. Sentiment analysis requires several important stages, namely, preprocessing, feature extraction and classification method stages. The preprocessing stage was carried out to eliminate inconsistent data. In previous research, punctuation marks removal was applied at the preprocessing stage which can eliminate the emoticon position. Emoticons are a combination of punctuation marks. According to previous research, the emoticon feature has no contribution in sentiment analysis. There is another suggestion to maintain an emoticon position like converting an emoticon into a more relevant word such as :) into a “smile”. However, the feature of emoticon weights has not been considered in the sentiment analysis process. In order to consider the role of emoticons and to improve sentiment analysis performance, we propose using a combination of machine learning and emoticon weights. We perform emoticon weight based on probability and sentiment score. Each probability value and sentiment score of the emoticon will be normalized using the z-score method. There are several machine learning methods that have the best classification success rates, namely, Naïve Bayes and SVM. Based on the evaluation results of the proposed model, the best accuracy is 87% - 89% when using the combination of machine learning and emoticon sentiment score. Based on the results also show that the emoticon sentiment score has a significant effect on the accuracy of sentiment analysis.
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Yamamoto, Hisako, Misako Kawahara, Mariska Kret, and Akihiro Tanaka. "Cultural Differences in Emoticon Perception: Japanese See the Eyes and Dutch the Mouth of Emoticons." Letters on Evolutionary Behavioral Science 11, no. 2 (December 15, 2020): 40–45. http://dx.doi.org/10.5178/lebs.2020.80.

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This study investigated cultural differences in the perception of emoticons between Japanese and Dutch participants. We manipulated the eyes and mouth of emoticons independently and asked participants to evaluate the emotion of each emoticon. The results show that Japanese participants tended to focus on the emotion expressed with the eyes while Dutch participants put weight on the shape of the mouth when evaluating emoticons. This tendency is consistent with a previous cross-cultural study comparing people from Japan and the United States (Yuki et al., 2007).
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FELDMAN, LAURIE BETH, CECILIA R. ARAGON, NAN-CHEN CHEN, and JUDITH F. KROLL. "Emoticons in informal text communication: a new window on bilingual alignment." Bilingualism: Language and Cognition 21, no. 1 (July 19, 2017): 209–18. http://dx.doi.org/10.1017/s1366728917000359.

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The study of emoticon use in text communication is in its early stages (Aragon, Feldman, Chen & Kroll, 2014), with even less known about how emoticons function in multilingual environments. We describe a preliminary longitudinal analysis of text communication in an online bilingual scientific work environment and demonstrate how patterns of emoticon use constitute a novel yet systematic nonverbal aspect of communication. Specifically, coordination over bilingual speakers entails reductions in emoticon diversity over time that are greater for those who communicate in their L2 than in their L1. An analogous but weaker pattern is evident for lexical diversity in L2 but not L1. We hypothesize that reductions in emoticon diversity in the L2 are likely to reflect social contributions to alignment rather than purely proficiency.
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Yus, Francisco. "NOT ALL EMOTICONS ARE CREATED EQUAL." Linguagem em (Dis)curso 14, no. 3 (December 2014): 511–29. http://dx.doi.org/10.1590/1982-4017-140304-0414.

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Text deformation and emoticon use have become pervasive in today's computer-mediated communication. In this article, emoticons are analysed from a pragmatic, relevance-theoretic perspective, which entails determining the extent to which emoticons contribute to the eventual relevance of the information communicated by the text typed on the keyboard. Eight pragmatic functions are proposed, which correspond to the different ways in which emoticons satisfy the user's search for relevance. The analysis will also address how emoticons contribute to a more fine-grained identification of the user's attitudes, feelings and emotions, which are often difficult to pin down in text-based communication.
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Dissertations / Theses on the topic "Emoticon"

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Pålsson, Andreas, and Daniel Szerszen. "Sentiment Classification in Social Media : An Analysis of Methods and the Impact of Emoticon Removal." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187481.

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Sentiment classification is the process of analyzing data and classifying it based on its sentiment conveying properties and the process has a multitude of applications in different industries. However, the different application areas also introduce diverse challenges in implementing the methods successfully. This report examines two of the main approaches commonly used for sentiment classification which entail the use of machine learning and a glossary of weighted words respectively. In addition, preprocessing is explored as an enhancement to the previously mentioned approaches. The approaches are tested on data collected from Twitter to examine their performance in social media. The results indicate that lexicon-based classifiers are the most performant, and that removal of emoticons increases the correctness of classification.
Att kategorisera text beroende på vilken känsla som uttrycks har fått många användningsområden i många industrier. De olika användningsområdena introducerar olika svårigheter att på ett korrekt och konsekvent sätt uppfylla de krav som ställs. Denna rapport avser utforska och bedöma två tillvägagångssätt, ett i form av maskininlärning samt en metod som jämför orden i en text med ordvikter från ett fördefinierat lexikon. Utöver detta analyseras emoji-borttagning som ett möjligt förbättringssätt till båda tillvägagångssätten. Metoderna är testade på data taget från Twitter i syfte att analysera prestandan när data från sociala medier används. Resultaten indikerar att den lexikon-baserade metoden presterar bättre, och att borttagning av emojis ökar korrektheten av klassificeringen.
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Dahlgren, Oksana. "Ungdomars identitet genom chatspråk." Thesis, Malmö högskola, Fakulteten för lärande och samhälle (LS), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-32103.

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AbstraktDahlgren, O (2009). Ungdomars identitet genom chatspråk (The Identity of Youth throughthe Language of Chat) Malmö: Lärarutbildningen: Malmö högskolaExamensarbetet beskriver identitetssökandeprocessen bland ungdomar och på vilket sättchatspråk formar dagens ungdomars identitet. Syftet med examensarbetet är att beskrivaungdomsperioden och ge en syn på hur chatt formar den nutida ungdomens identitet.Dessutom syftar arbetet till att bidra till föräldrars och vuxnas medvetenhet om en sådanungdoms livssituation för att de skall kunna ha förståelse för ungdomarna, acceptera derasbeteende och språk och vara ett stöd. Arbetet har utgått ifrån följande frågor: Vad kan enidentitetssökandeprocess bland ungdomar innebära? På vilket sätt kan chatt och chatspråkforma ungdomars identitet? De metoder som använts för att få svar på frågeställningarna harvarit att intervjua ungdomar om chatt och chatspråk och att göra en undersökning av utdragenur chatt av de intervjuade ungdomarna. Den teoretiska bakgrunden bestod avjagidentitetsbegreppet samt den psykoanalytiska teorin och det socialpsykologiskaperspektivet och begreppen chatt och språk. Resultatet pekar på att chatt är en del av dennutida ungdomens vardag. Slutsatsen i examensarbetet är att chatt och chatspråk formardagens ungdomars identitet genom att ge dem tillhörighet till en grupp och är ett fält där dekan uttrycka sin personlighet.Nyckelord: Ungdomar, identitet, chatt, chatspråk, MSN, smiley, emoticon.
AbstractDahlgren, O (2009). Ungdomars identitet genom chatspråk (The Identity of Youth throughthe Language of Chat) Malmö: Lärarutbildningen: Malmö högskolaThis examination work describes the identity searching process among youths and in whatway chat language forms the identity of the today’s youths. The purpose of the examinationwork is to describe the youth period and give a view of in what way chat forms the today’syouths identity. Further more this work aims to contribute to parents´ and grown-ups´awareness about such a situation of life among youth, for them to be able to haveunderstanding for the youths, accept their behavior and language and to support them. Thework is based on the following questions: What may the identity searching process mean? Inwhat way may chat and chat language form the youth’s identity? The methods which wereused to get answers of the issues have been to interview the youths about chat, and chatlanguage, and to make a research of extracts from the personal chat examples of theinterviewed group. The theoretical background consisted of the I-identity definition, as wellas the psychoanalytical theory and the social psychological theory, and the definitions of chatand language. The result indicates towards that chat and chat language is a part of today’syouth’s everyday life. The conclusion of the examination work is the following: chat and chatlanguage form the today’s youth identity by means of giving them the feeling of belonging toa group and is a field for expression of their personality.Keywords: Youth, identity, chat, chat language, MSN, smiley, emotional icon.
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Kelly, Caroline. "Do you know what I mean > :( : A linguistic study of the understanding ofemoticons and emojis in text messages." Thesis, Högskolan i Halmstad, Akademin för lärande, humaniora och samhälle, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27611.

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This study investigates the understanding of emoticons and emojis used in text messages. Theaim of this study is to determine whether there is a universal understanding of emoticons andemojis, which is important considering the number of people using them every day whensending text messages. Many studies have been made of communication via text messagesand the usage of emoticons and emojis, but no study has focused on the interpretation of thesymbols and the importance of the context.For the purposes of this study, a questionnaire was completed in an uppersecondary school (Swedish gymnasium) in Stockholm, during normal school hours inNovember 2014, by 90 16-19 year old students. The result was then analysed through a‘Relevance Theory’ perspective, and in the light of the works of, amongst others, Saussure,Peirce and Thomas.The result revealed that, for the interpreter of a text message, it is important thata textual context is established, in order for the interpreter to be able to understand what theemoticons or emojis used in text messages mean. The result also showed that the emoticonsand emojis do not have a meaning in themselves and that they can have different meaningsdepending on the situation, and the mood or the person for whom the message is intended.
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Berg, Ingrid. "När orden inte räcker till : en kvalitatitv intervjustudie om barns användning av mobilspråket emoji." Thesis, Södertörns högskola, Institutionen för kultur och lärande, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-33048.

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Araya, Jose Manuel. "Emotion and predictive processing : emotions as perceptions?" Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33156.

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In this Thesis, I systematize, clarify, and expand the current theory of emotion based on the principles of predictive processing-the interoceptive inference view of emotion-so as to show the following: (1) as it stands, this view is problematic. (2) Once expanded, the view in question can deal with its more pressing problems, and it compares favourably to competing accounts. Thus, the interoceptive inference view of emotion stands out as a plausible theory of emotion. According to the predictive processing (PP) framework, all what the brain does, in all its functions, is to minimize its precision-weighted prediction error (PE) (Clark, 2013, 2016; Hohwy, 2013). Roughly, PE consist in the difference between the sensory signals expected (and generated) from the top-down and the actual, incoming sensory signals. Now, in the PP framework, visual percepts are formed by minimizing visual PE in a specific manner: via visual perceptual inference. That is, the brain forms visual percepts in a top-down fashion by predicting its incoming lower-level sensory signals from higher-level models of the likely (hidden) causes of those visual signals. Such models can be seen as putting forward content-specifying hypotheses about the object or event responsible for triggering incoming sensory activity. A contentful percept is formed once a certain hypothesis achieves to successfully match, and thus supress, current lower-level sensory signals. In the interoceptive inference approach to interoception (Seth, 2013, 2015), the principles of PP have been extended to account for interoception, i.e., the perception of our homeostatic, physiological condition. Just as perception in the visual domain arises via visual perceptual inference, the interoceptive inference approach holds that perception of the inner, physiological milieu arises via interoceptive perceptual inference. Now, what might be called the interoceptive inference theory of valence (ITV) holds that the interoceptive inference approach can be used so as to account for subjective feeling states in general, i.e., mental states that feel good or bad-i.e., valenced mental states. According to ITV, affective valence arises by way of interoceptive perceptual inference. On the other hand, what might be called the interoceptive inference view of emotion (IIE) holds that the interoceptive inference approach can be used so as to account for emotions per se (e.g., fear, anger, joy). More precisely, IIE holds that, in direct analogy to the way in which visual percepts are formed, emotions arise from interoceptive predictions of the causes of current interoceptive afferents. In other words, emotions per se amount to interceptive percepts formed via higher-level, content-specifying emotion hypotheses. In this Thesis, I aim to systematize, clarify, and expand the interoceptive inference approach to interoception, in order to show that: (1) contrary to non-sensory theories of affective valence, valence is indeed constituted by interoceptive perceptions, and that interoceptive percepts do arise via interoceptive perceptual inference. Therefore, ITV holds. (2) Considering that IIE exhibits problematic assumptions, it should be amended. In this respect, I will argue that emotions do not arise via interoceptive perceptual inference (as IIE claims), since this assumes that there must be regularities pertaining to emotion in the physiological domain. I will suggest that emotions arise instead by minimizing interoceptive PE in another fashion. That is, emotions arise via external interoceptive active inference: by sampling and modifying the external environment in order to change an already formed interoceptive percept (which has been formed via interoceptive perceptual inference). That is, emotions are specific strategies for regulating affective valence. More precisely, I will defend the view that a certain emotion E amounts to a specific strategy for minimizing interoceptive PE by way of a specific set of stored knowledge of the counterfactual relations that obtain between (possible) actions and its prospective interoceptive, sensory consequences ("if I act in this manner, interoceptive signals should evolve in such-and-such way"). An emotion arises when such knowledge is applied in order to regulate valence.
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Friesen, Andrew P. ""Catching" emotions : emotion regulation in sport dyads." Thesis, University of Wolverhampton, 2013. http://hdl.handle.net/2436/621877.

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The purpose of the present research programme was to inform the development and subsequent delivery of an intervention to enhance interpersonal emotion regulation. Although emotion regulation has been emphasised due to its importance in explaining performance and well-being, the focus of research has predominantly been on intrapersonal emotion regulation. The present study addressed the dual-gap in research by extending research in interpersonal emotion regulation in general and developing and testing theory-led interventions for use in sport. A three-stage programme of research was set up with stage one reviewing the extant literature before proposing a social-functional approach to emotions, and in particular the Emotions As Social Information (EASI) model, as possible theoretical frameworks for use in sport. Qualitative methods were emphasised as these are particularly useful in studies seeking to identify mechanisms underlying the effectiveness of interventions. Stage two began with a narrative analysis to outline the potential social functions and consequences of emotional expressions, verbalisations, and actions in ice hockey. Two ice hockey players, each captain of their respective team, participated in semi-structured interviews. Participants described how emotions informed them of important circumstances in their environment that required attention and prepared them for such challenges at the individual level. At a dyadic level, emotions helped participants understand the emotional states and intentions of their teammates contributing toward an assessment of the extent to which they were prepared to face their challenges. At a group level, emotions helped participants lead their teammates in meeting team goals. Finally, at the cultural level, emotions helped participants maintain culture-related identities. Stage two continued with examining the processes, strategies used, and potential moderating factors in interpersonal emotion regulation among 16 ice hockey players from an English professional league. An inductive and deductive analysis revealed 22 distinct strategies used to regulate teammates' emotions. These were distinguished between strategies that were verbal or behavioural in nature. They were further distinguished between strategies employed to initiate interpersonal emotion regulation through affective and cognitive channels. Moderating factors in the interpersonal emotion regulation process were consistent with the EASI model. Stage three involved the development, delivery and assessment of the intervention. A British ice hockey team was recruited and the intervention was delivered over the course of three competitive seasons. The primary intervention goal was to improve interpersonal emotion regulation as evidenced by being able to accurately identify when an emotion regulation strategy was needed, and select and use a strategy that changed emotions in the direction and strength intended (Webb, Miles, & Sheeran, 2012). Given the link between emotion and performance, it was expected that the intervention would bring about improvements in individual and team performance. Techniques to bring about change comprised of brief contact interventions, dressing room debriefs, feedback from emotional intelligence assessments, and the practitioner managing himself as an intervention tool. The merit of the intervention was judged through practitioner reflections, social validity assessments, pre- and post-intervention measures of emotional intelligence and performance. Collectively, the present research programme contributes to the emotion regulation literature not only in sport, but also in psychology in general. A key achievement of the programme has been the development of a theoretically sound but ecologically valid intervention designed to improve the interpersonal emotion regulation skills of athletes. Although the intervention primarily catered to the needs of the current team and utilised the professional philosophy of the researcher-practitioner, the intervention provides support for enhanced performance derived from theory explaining a social-functional account of emotions. Future research might use the theory and approach to testing the theory in different sports to examine the role of each sport sub-culture on interpersonal emotion regulation.
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Laukka, Petri. "Vocal Expression of Emotion : Discrete-emotions and Dimensional Accounts." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, Uppsala universitet, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4666.

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Perez-Rivera, Marie Belle. "Mothers' beliefs about emotions, mother-child emotion discourse, and children's emotion understanding in Latino families." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/32229.

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The purpose of this study was to better understand associations between acculturation, parental beliefs, mother-child emotion talk, and emotion understanding in Latino preschool-aged children. Research on Latino families may prove to be important given the little research that has focused on emotion understanding strictly in Latino cultures. Forty Latino mother-child dyads were observed throughout a series of naturalistic observations. Mothers self-reported their acculturation and their beliefs about the value and danger of childrenâ s emotions, childrenâ s emotional development processes, and their role in guiding their childrenâ s emotions. Mother-child emotion talk and framing was measured during a 15 minute story-telling task using a Lego house and through a wordless picture book. Childrenâ s emotion understanding was measured using two standard tasks. Results showed that mothersâ acculturation was related to their beliefs about the danger of emotions, their role in guiding their childâ s emotions, and their childâ s readiness to learn about emotions. Mothersâ acculturation was also related to childrenâ s emotion understanding. Mothersâ beliefs about guiding childrenâ s emotions were related to mothersâ labeling of emotions and to childrenâ s emotion understanding. This study confirms and expands several previous findings relating to emotion socialization of children. Overall, results highlight the importance of acculturation for parentsâ beliefs about emotions and childrenâ s emotion understanding.
Master of Science
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Rönn, Linnea. "Nyanserna i en emoticons leende : En kvantitativ innehållsanalys av språkegenskaper i chattforumet Facebook Messenger." Thesis, Högskolan i Gävle, Avdelningen för humaniora, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-24426.

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Jag undersöker chattmeddelandet i forumet Facebook Messenger för att se om jag kan finna mönster i de språkliga egenskaper som återfinns. Jag undersöker om egenskaperna innehar mest talspråkliga eller mest skriftspråkliga egenskaper, alternativt om egenskaperna kan anses vara unika för internetchatt. Syftet är att betrakta om chattspråk kan anses vara en självständig varietet i svenska språket.   Materialet består av chattkonversationer från tio informanter födda på 1990-talet samt sju informanter födda på 1960-talet. Genom att söka språkliga mönster hos två olika åldersgrupper går det att belysa huruvida konventionella språkegenskaper i chatt kan vara en generationsfråga. Jag använder en kvantitativ innehållsanalys för att analysera mitt material då jag har valt att kvantifiera de chattspråksegenskaper som jag har funnit. Jag har kvalitativa inslag i min analys för att ha möjlighet att tolka mitt resultat.   Det går att finna mönster i informanternas chattspråk. Det är vanligt att informanter brukar två utropstecken på rad, ”!!”, när de vill betona något i sitt meddelande. Det är också vanligt att utelämna information från chattmeddelanden: framförallt subjektspronomen eller prepositioner.   Det finns skillnader åldersgrupperna emellan. De yngre informanterna brukar många emoticoner medan de äldre gör det vid enstaka tillfällen. De yngre informanterna brukar emoticoner som satsavdelare – i stället för punkt och kommatecken – medan de äldre skriver enligt mer formella skriftspråksnormer. De äldre informanterna skriver ofta inledningar och avslutningar på sina meddelanden vilket de yngre inte gör.   Chattspråk, eller internetspråk, kan sägas vara en självständig språkvarietet även om de flesta språkliga egenskaperna inte är genuint nya. Verksamheten för kommunikation styr språket. Syftet med var och varför människor skriver till varandra har förändrats på grund av internet, vilket påverkar språket.
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Stanley, Jennifer Tehan. "Emotion recognition in context." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24617.

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Thesis (Ph.D.)--Psychology, Georgia Institute of Technology, 2008.
Committee Chair: Blanchard-Fields, Fredda; Committee Member: Corballis, Paul; Committee Member: Hertzog, Christopher; Committee Member: Isaacowitz, Derek; Committee Member: Kanfer, Ruth
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Books on the topic "Emoticon"

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Development of emotions and emotion regulation: An internalization model. New York: Springer Science, 2006.

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Dietz, Kathy. Emotion commotion: Children's poems and activities that explore emotions. Kennebunk, Maine: Depot Publishing, 2006.

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Fox, Elaine. Emotion science: Cognitive and neuroscientific approaches to understanding human emotions. Basingstoke: Palgrave Macmillan, 2008.

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Passion and paranoia: Emotions and the culture of emotion in academia. Burlington, VT: Ashgate Pub., 2012.

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Fischer, Agneta. Emotion scripts: A study of the social and cognitive facets of emotions. Leiden: DSWO Press, Leiden University, 1991.

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Cornelius, Randolph R. The science of emotion: Research and tradition in the psychology of emotions. Upper Saddle River, N.J: Prentice Hall, 1996.

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Emoticons. Viejo San Juan, P.R: Terranova Editores, 2007.

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W, Kalat James, ed. Emotion. 2nd ed. Australia: Wadsworth, 2012.

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Sclater, Shelley Day, David W. Jones, Heather Price, and Candida Yates, eds. Emotion. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230245136.

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N, Shiota Michelle, ed. Emotion. 2nd ed. Belmont, Calif: Wadsworth, 2011.

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Book chapters on the topic "Emoticon"

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Datar, Manalee, and Pranali Kosamkar. "A Novel Approach for Polarity Determination Using Emoticons: Emoticon-Graph." In Advances in Intelligent Systems and Computing, 481–89. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0135-2_47.

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Wu, Yunong, Xin Kang, Kazuyuki Matsumoto, Minoru Yoshida, and Kenji Kita. "Emoticon-Based Emotion Analysis for Weibo Articles in Sentence Level." In Lecture Notes in Computer Science, 104–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03014-8_9.

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Sahu, Aditya, Anuj Kumar, and Akash Parekh. "Emoticon: Toward the Simulation of Emotion Using Android Music Application." In Evolutionary Computing and Mobile Sustainable Networks, 673–81. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5258-8_62.

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Xu, Xinyan, and Shunxiang Zhang. "Micro-blog Sentiment Analysis Based on Emoticon Preferences and Emotion Commonsense." In Advances in Intelligent Systems and Computing, 838–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53980-1_123.

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Jiang, Fei, Yiqun Liu, Huanbo Luan, Min Zhang, and Shaoping Ma. "Microblog Sentiment Analysis with Emoticon Space Model." In Communications in Computer and Information Science, 76–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45558-6_7.

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Yu, Shuo, Hongyi Zhu, Shan Jiang, and Hsinchun Chen. "Emoticon Analysis for Chinese Health and Fitness Topics." In Smart Health, 1–12. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08416-9_1.

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Gupta, Shaina, Ravinder Singh, and Varun Singla. "Emoticon and Text Sarcasm Detection in Sentiment Analysis." In First International Conference on Sustainable Technologies for Computational Intelligence, 1–10. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0029-9_1.

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Li, Changliang, Changsong Li, and Pengyuan Liu. "Sentiment Analysis Based on LSTM Architecture with Emoticon Attention." In Lecture Notes in Computer Science, 232–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26142-9_21.

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Mittal, Mamta, Maanak Arora, and Tushar Pandey. "Emoticon Prediction on Textual Data Using Stacked LSTM Model." In Communication and Intelligent Systems, 259–69. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3325-9_20.

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Park, Tae Woong, Si-Jung Kim, and Gene Lee. "A Study of Emoticon Use in Instant Messaging from Smartphone." In Human-Computer Interaction. Applications and Services, 155–65. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07227-2_16.

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Conference papers on the topic "Emoticon"

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Nakatsuma, Kei, Takayuki Hoshi, and Ippei Torigoe. "Haptic-emoticon." In ACM SIGGRAPH 2013 Posters. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2503385.2503423.

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Wu, Yunong, Xin Kang, Kazuyuki Matsumoto, Minoru Yoshida, Keranmu Xielifuguli, and Kenji Kita. "Sentence Emotion Classification for Intelligent Robotics Based on Word Lexicon and Emoticon Emotions." In 2018 IEEE International Conference of Intelligent Robotic and Control Engineering (IRCE). IEEE, 2018. http://dx.doi.org/10.1109/irce.2018.8492969.

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Liu, Taiao, Yajun Du, and Qiaoyu Zhou. "Text Emotion Recognition Using GRU Neural Network with Attention Mechanism and Emoticon Emotions." In RICAI 2020: 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3438872.3439094.

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Daosodsai, Napha, and Thavida Maneewarn. "Fuzzy based emotion generation mechanism for an emoticon robot." In 2013 13th International Conference on Control, Automaton and Systems (ICCAS). IEEE, 2013. http://dx.doi.org/10.1109/iccas.2013.6704075.

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Mittal, Trisha, Pooja Guhan, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, and Dinesh Manocha. "EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.01424.

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Jiang, Chengzhi, and Tadahiko Kumamoto. "Method for Computing Emotions of Tweets with an Emoticon." In iiWAS2019: The 21st International Conference on Information Integration and Web-based Applications & Services. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3366030.3366071.

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Kuantama, Endrowednes, Leonardy Setyawan, and Jessie Darma. "Robogotchi, on emoticon robot." In 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN). IEEE, 2011. http://dx.doi.org/10.1109/iccsn.2011.6014856.

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Matsui, Taichi, and Shohei Kato. "Emoticon Recommendation System Reflecting User Individuality - A Preliminary Survey of Emoticon Use." In 9th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006186104590464.

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Islam, Juyana, Sadman Ahmed, M. A. H. Akhand, and N. Siddique. "Improved Emotion Recognition from Microblog Focusing on Both Emoticon and Text." In 2020 IEEE Region 10 Symposium (TENSYMP). IEEE, 2020. http://dx.doi.org/10.1109/tensymp50017.2020.9230725.

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Zhi-Hui Wang, The Duc Kieu, Chin-Chen Chang, and Ming-Chu Li. "Emoticon-based text steganography in chat." In 2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA 2009). IEEE, 2009. http://dx.doi.org/10.1109/paciia.2009.5406559.

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Reports on the topic "Emoticon"

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Shadel, Doug, Alicia Williams, Karla Pak, and Lona Choi-Allum. Emotion: Scammers Use Our Emotions Against Us - Infographic. Washington, DC: AARP Research, October 2021. http://dx.doi.org/10.26419/res.00484.002.

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Shadel, Doug, Alicia Williams, Karla Pak, and Lona Choi-Allum. Emotion: Scammers Use Our Emotions Against Us – Infographic. Spotlight on Black Americans. Washington, DC: AARP Research, October 2021. http://dx.doi.org/10.26419/res.00484.006.

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Shadel, Doug, Alicia Williams, Karla Pak, and Lona Choi-Allum. Emotion: Scammers Use Our Emotions Against Us – Infographic. Spotlight on Hispanic Americans. Washington, DC: AARP Research, October 2021. http://dx.doi.org/10.26419/res.00484.010.

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Hardani, Rika, Diana Setiyawati, and Yuli Fajar Susetyo. The Effect of Emotion Self-Regulation on Academic Achievement During Adolescence: a Protocol for a Systematic Literature Review And Meta-Analyses. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0073.

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Review question / Objective: The research uses the PICOS method to determine the topic and research objectives. PICOS stands for population, intervention, comparison, outcomes and study. PICOS is one of the guidelines that is often used in quantitative research in systematic research literature reviews (Eriksen & Frandsen, 2018). This study intends to determine how the influence of adolescent self-regulation of emotions on academic achievement. Condition being studied: In the process of achieving high academic achievement, apart from the role of cognitive factors, non-cognitive factors also play an important role. In psychology, there are non-cognitive variables called emotion self-regulation. Many previous studies have investigated this matter. However, researchers have not found a systematic literature review that discusses the effect of emotion self-regulation on adolescent academic achievement.
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Yücel Koç, Melike. Emotion Language and Emotion Narratives of Turkish-English Late Bilinguals. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.208.

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Balali, Vahid, Arash Tavakoli, and Arsalan Heydarian. A Multimodal Approach for Monitoring Driving Behavior and Emotions. Mineta Transportation Institute, July 2020. http://dx.doi.org/10.31979/mti.2020.1928.

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Studies have indicated that emotions can significantly be influenced by environmental factors; these factors can also significantly influence drivers’ emotional state and, accordingly, their driving behavior. Furthermore, as the demand for autonomous vehicles is expected to significantly increase within the next decade, a proper understanding of drivers’/passengers’ emotions, behavior, and preferences will be needed in order to create an acceptable level of trust with humans. This paper proposes a novel semi-automated approach for understanding the effect of environmental factors on drivers’ emotions and behavioral changes through a naturalistic driving study. This setup includes a frontal road and facial camera, a smart watch for tracking physiological measurements, and a Controller Area Network (CAN) serial data logger. The results suggest that the driver’s affect is highly influenced by the type of road and the weather conditions, which have the potential to change driving behaviors. For instance, when the research defines emotional metrics as valence and engagement, results reveal there exist significant differences between human emotion in different weather conditions and road types. Participants’ engagement was higher in rainy and clear weather compared to cloudy weather. More-over, engagement was higher on city streets and highways compared to one-lane roads and two-lane highways.
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Mills, Carolyn. Synergism of substance and emotion. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5339.

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Hartholt, Arno, and Tijmen J. Muller. Interaction on Emotions. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada459838.

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Gratch, Jonathan, and Stacy Marsella. Evaluating a Computational Model of Emotion. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada459183.

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Ivanova, S. E. Verbalization emotion: age and gender differences. LJournal, 2016. http://dx.doi.org/10.18411/a-2017-001.

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