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Journal articles on the topic 'Human-robot acceptance'

Author: Grafiati

Published: 10 September 2021

Last updated: 29 July 2025

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1

Banan, Emad Alshahwan Ohoud Almousa Rasha Alnuwaiser Samah Alsoghyer Zubaydh Kenkar Nor Shahriza Abdul Karim. "Implementing a Physiotherapy Robot to Assist Disc Disease Patient." Advanced Journal of Robotics 1, no. 1 (2020): 16. https://doi.org/10.5281/zenodo.3938843.

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ABSTRACT This study discusses the implementation of Disc Disease Diagnosis (DDD) physiotherapy robot that attempts to assist the human physiotherapist. It aims to study the capability of a robot in performing DDD exercises, motivating patients and evaluating patient’s acceptance. Human-Robot Interaction (HRI) was followed in the implementation. Experiments have been done with a real patient to obtain patient acceptance and motivation. Patient assessment toward physiotherapy robot is important by using: Technology Acceptance. The results from the observation and questionnaire was overall

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Bröhl, Christina, Jochen Nelles, Christopher Brandl, Alexander Mertens, and Verena Nitsch. "Human–Robot Collaboration Acceptance Model: Development and Comparison for Germany, Japan, China and the USA." International Journal of Social Robotics 11, no. 5 (2019): 709–26. http://dx.doi.org/10.1007/s12369-019-00593-0.

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Abstract The use of robots in the national economy—especially in industrialized countries—is growing. At the same time, the interdependency between humans and robots is getting increasingly closer: they are engaging in direct contact with each other as more and more organizations let robots and humans work hand-in-hand. One factor that predicts successful human–robot interdependency is the acceptance of the robot by the human. Generally, only when an innovative assistive working system covers human needs and expectations, it is perceived to be useful and hence accepted. Furthermore, it has bee

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Bishop, Laura, Anouk van Maris, Sanja Dogramadzi, and Nancy Zook. "Social robots: The influence of human and robot characteristics on acceptance." Paladyn, Journal of Behavioral Robotics 10, no. 1 (2019): 346–58. http://dx.doi.org/10.1515/pjbr-2019-0028.

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AbstractResearch in social robotics is focused on the development of robots that can provide physical and cognitive support in a socially interactive way. Whilst some studies have previously investigated the importance of user characteristics (age, gender, education, robot familiarity, mood) in the acceptance of social robots as well as the influence a robot’s displayed emotion (positive, negative, neutral) has on the interaction, these two aspects are rarely combined. Therefore, this study attempts to highlight the need to consider the influence that both human and robot attributes can have o

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Chen, Yuhao, Yue Luo, Mustafa Ozkan Yerebakan, and Boyi Hu. "Human Acceptance of the Cleaning Robot in Grocery Environments During the COVID-19 Pandemic." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (2022): 177–81. http://dx.doi.org/10.1177/1071181322661138.

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Cleaning work is a labor-intensive job that frequently exposes workers to substantial occupational hazards. Unfortunately, the outbreak of coronavirus disease 2019 (COVID-19) has increased the pressure on janitors and cleaners to meet the rising need for a safe and hygienic environment, particularly in grocery stores, where the majority of people get their daily necessities. To reduce the occupational hazards and fulfill the new challenges of COVID-19, autonomous cleaning robots, have been designed to complement human workers. However, a lack of understanding of the new generation of cleaning

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Merx, Quincy, Mark Steins, and Gaby Odekerken. "The role of psychological comfort with service robot reminders: a dyadic field study." Journal of Services Marketing 39, no. 10 (2025): 1–14. https://doi.org/10.1108/jsm-12-2023-0476.

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Purpose This study aims to propose a service robot option to address shortages of human frontline employees (FLEs) in long-term care (LTC) service settings. With a field study, the authors investigate the effect of psychological comfort with robot reminders of LTC residents and human FLEs on acceptance and attentive engagement, ultimately resulting in effort and willingness to interact with the service robot. The outcomes provide valuable insights into human-robot interaction in the LTC sector. Design/methodology/approach The 45 residents and 49 human FLEs who participated in the field study c

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Dong-Jin Shin, Bokyeong Kim. "A Perceived Value and Its Influence on Satisfaction and Acceptance in Hotel Robot Services: Unveiling the Role of Trust." Journal of Information Systems Engineering and Management 10, no. 37s (2025): 982–1000. https://doi.org/10.52783/jisem.v10i37s.6753.

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This study investigates the impact of the perceived value of hotel robot services on customer satisfaction and acceptance attitudes, focusing on the mediating role of customer satisfaction and the moderating role of trust in robot services. A total of 452 valid responses were analyzed using SPSS 23.0 and AMOS 23.0 for confirmatory factor analysis and structural equation modelling. The results indicate that all dimensions of perceived value significantly positively affect customer satisfaction, with functional value also positively influencing acceptance attitudes. However, creative and enterta

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Bertoni, Sophia, Christian Klaes, and Artur Pilacinski. "Human–Robot Intimacy: Acceptance of Robots as Intimate Companions." Biomimetics 9, no. 9 (2024): 566. http://dx.doi.org/10.3390/biomimetics9090566.

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Depictions of robots as romantic partners for humans are frequent in popular culture. As robots become part of human society, they will gradually assume the role of partners for humans whenever necessary, as assistants, collaborators, or companions. Companion robots are supposed to provide social contact to those who would not have it otherwise. These companion robots are usually not designed to fulfill one of the most important human needs: the one for romantic and intimate contact. Human–robot intimacy remains a vastly unexplored territory. In this article, we review the state-of-the-art res

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Parvez, M. Omar, Huseyin Arasli, Ali Ozturen, Rab Nawaz Lodhi, and Viput Ongsakul. "Antecedents of human-robot collaboration: theoretical extension of the technology acceptance model." Journal of Hospitality and Tourism Technology 13, no. 2 (2022): 240–63. http://dx.doi.org/10.1108/jhtt-09-2021-0267.

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Purpose This study aims to extend the technology acceptance model (TAM) to examine whether the introduction of robots influences employees’ behavioral intentions to use robots and awareness of robots to promote human–robot collaboration (HRC). Besides, the role of strategic human resource management (HRM) involvement as a moderator in the perception of robots as a team member was investigated. Design/methodology/approach Data were collected from 500 respondents via the Amazon Mechanical Turk platform. After data cleaning, 329 valid responses were analyzed. Partial least squares structural equa

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Wang, Weitian, Yi Chen, Rui Li, and Yunyi Jia. "Learning and Comfort in Human–Robot Interaction: A Review." Applied Sciences 9, no. 23 (2019): 5152. http://dx.doi.org/10.3390/app9235152.

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Collaborative robots provide prospective and great solutions to human–robot cooperative tasks. In this paper, we present a comprehensive review for two significant topics in human–robot interaction: robots learning from demonstrations and human comfort. The collaboration quality between the human and the robot has been improved largely by taking advantage of robots learning from demonstrations. Human teaching and robot learning approaches with their corresponding applications are investigated in this review. We also discuss several important issues that need to be paid attention to and address

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Maurtua, Iñaki, Aitor Ibarguren, Johan Kildal, Loreto Susperregi, and Basilio Sierra. "Human–robot collaboration in industrial applications." International Journal of Advanced Robotic Systems 14, no. 4 (2017): 172988141771601. http://dx.doi.org/10.1177/1729881417716010.

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Human–robot collaboration is a key factor for the development of factories of the future, a space in which humans and robots can work and carry out tasks together. Safety is one of the most critical aspects in this collaborative human–robot paradigm. This article describes the experiments done and results achieved by the authors in the context of the FourByThree project, aiming to measure the trust of workers on fenceless human–robot collaboration in industrial robotic applications as well as to gauge the acceptance of different interaction mechanisms between robots and human beings.

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Çiğdem, Şemsettin, Ieva Meidute-Kavaliauskiene, and Bülent Yıldız. "Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees." Logistics 7, no. 1 (2023): 17. http://dx.doi.org/10.3390/logistics7010017.

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Background: Human–robot collaboration is essential for efficient manufacturing and logistics as robots are increasingly used. Using industrial robots as part of an automation system results in many competitive benefits, including improved quality, efficiency, productivity, and reduced waste and errors. When robots are used in production, human coworkers’ psychological factors can disrupt operations. This study aims to examine the effect of employees’ negative attitudes toward robots on their acceptance of robot technology in manufacturing workplaces. Methods: A survey was conducted with employ

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Rossi, Alessandra, Patrick Holthaus, Giulia Perugia, Sílvia Moros, and Marcus Scheunemann. "Trust, Acceptance and Social Cues in Human–Robot Interaction (SCRITA)." International Journal of Social Robotics 13, no. 8 (2021): 1833–34. http://dx.doi.org/10.1007/s12369-021-00844-z.

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Kühne, Katharina, Melinda A. Jeglinski-Mende, Martin H. Fischer, and Yuefang Zhou. "Social robot – Jack of all trades?" Paladyn, Journal of Behavioral Robotics 13, no. 1 (2022): 1–22. http://dx.doi.org/10.1515/pjbr-2022-0002.

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Abstract Background Social robots have been used in different roles, for example, in caregiving, companionship, and as a therapy tool, in recent years – with growing tendency. Although we still know little about factors that influence robots’ acceptance, studies have shown that robots are possible social companions for humans that help overcome loneliness, among other use cases. Especially in the given situation of forced social isolation, social companions are needed. This social gap might be filled by robots. We hypothesized that loneliness and the need to belong increase acceptance of socia

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Mavrogiannis, Christoforos. "Towards smooth mobile robot deployments in dynamic human environments." AI Magazine 45, no. 3 (2024): 419–28. http://dx.doi.org/10.1002/aaai.12192.

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AbstractRecently, there has been great interest in deploying autonomous mobile robots in airports, malls, and hospitals to complete a range of tasks such as delivery, cleaning, and patrolling. The rich context of these environments gives rise to highly unstructured motion that is challenging for robots to anticipate and adapt to. This results in uncomfortable and unsafe human–robot encounters, poor robot performance, and even catastrophic failures that hinder robot acceptance. Such observations have motivated my work on social robot navigation, the problem of enabling robots to navigate in hum

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Yan, Yuchen, and Yunyi Jia. "A Review on Human Comfort Factors, Measurements, and Improvements in Human–Robot Collaboration." Sensors 22, no. 19 (2022): 7431. http://dx.doi.org/10.3390/s22197431.

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As the development of robotics technologies for collaborative robots (COBOTs), the applications of human–robot collaboration (HRC) have been growing in the past decade. Despite the tremendous efforts from both academia and industry, the overall usage and acceptance of COBOTs are still not so high as expected. One of the major affecting factors is the comfort of humans in HRC, which is usually less emphasized in COBOT development; however, it is critical to the user acceptance during HRC. Therefore, this paper gives a review of human comfort in HRC including the influential factors of human com

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Hong, Min Jung, and Hee Jung Kim. "A Study on Anthropomorphism of Hotel Robot Service and the User’s Continuous Use Intention Applying Technology Acceptance Model(TAM)." Taegu Science University Defense Security Institute 8, no. 2 (2024): 89–103. http://dx.doi.org/10.37181/jscs.2024.8.2.089.

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This study focuses on the introduction of anthropomorphized robot services that exhibit human-like characteristics in Human-Robot Interaction (HRI). Furthermore, considering that studies on customer behavior following the adoption of new technologies mainly utilize the Technology Acceptance Model (TAM), this research verifies the influence relationship on future intention to continue usage based on TAM. Through empirical analysis using SPSS 27.0 and AMOS 27.0 programs to conduct path analysis via structural equation modeling, the following results were obtained: First, anthropomorphism of hote

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Caleb-Solly, Praminda, Sanja Dogramadzi, Claire A. G. J. Huijnen, and Herjan van den Heuvel. "Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance." Information Society 34, no. 3 (2018): 153–65. http://dx.doi.org/10.1080/01972243.2018.1444255.

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Rossi, Silvia, Daniela Conti, Federica Garramone, et al. "The Role of Personality Factors and Empathy in the Acceptance and Performance of a Social Robot for Psychometric Evaluations." Robotics 9, no. 2 (2020): 39. http://dx.doi.org/10.3390/robotics9020039.

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Research and development in socially assistive robotics have produced several novel applications in the care of senior people. However, some are still unexplored such as their use as psychometric tools allowing for a quick and dependable evaluation of human users’ intellectual capacity. To fully exploit the application of a social robot as a psychometric tool, it is necessary to account for the users’ factors that might influence the interaction with a robot and the evaluation of user cognitive performance. To this end, we invited senior participants to use a prototype of a robot-led cognitive

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Matsumura, Reo, Masahiro Shiomi, Kayako Nakagawa, Kazuhiko Shinozawa, and Takahiro Miyashita. "A Desktop-Sized Communication Robot: “robovie-mR2”." Journal of Robotics and Mechatronics 28, no. 1 (2016): 107–8. http://dx.doi.org/10.20965/jrm.2016.p0107.

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[abstFig src='/00280001/13.jpg' width=""230"" text='Appearance of robovie-mR2' ]We developed robovie-mR2, a desktop-sized communication robot, in which we incorporated a “Kawaii” design to create a familiar appearance because it is an important acceptance factor for both researchers and users. It can interact with people using multiple sensors, including a camera and microphones, expressive gestures, and an information display. We believe that robovie-mR2 will become a useful robot platform to advance the research of human-robot interaction. We also give examples of human-robot interaction res

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Meissner, Antonia, Angelika Trübswetter, Antonia S. Conti-Kufner, and Jonas Schmidtler. "Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration." ACM Transactions on Human-Robot Interaction 10, no. 1 (2020): 1–30. http://dx.doi.org/10.1145/3399433.

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Iqbal, M., and G. Abbas. "RISK ANALYSIS IN HUMAN-ROBOT INTERACTIVE ENVIRONMENTS." Pakistan Journal of Scientific Research 4, no. 1 (2024): 105–18. https://doi.org/10.57041/pjosr.v4i1.1216.

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As robotic systems gradually integrate into environments shared with humans, effective risk analysis in human-robot interactive settings has become necessary to guarantee optimized collaboration, and safety, and boost user acceptance. This review discovers methodologies for risk assessment in human-robot interactive (HRI), examining factors like physical proximity, dynamic unpredictability, and cognitive inconsistency amongst human users. This paper explores how sensor technologies, real-time data, and predictive algorithms can be influenced to alleviate risks related to robot faults, unpredic

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Vannucci, Fabio, Alessandra Sciutti, Hagen Lehman, Giulio Sandini, Yukie Nagai, and Francesco Rea. "Cultural differences in speed adaptation in human-robot interaction tasks." Paladyn, Journal of Behavioral Robotics 10, no. 1 (2019): 256–66. http://dx.doi.org/10.1515/pjbr-2019-0022.

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AbstractIn social interactions, human movement is a rich source of information for all those who take part in the collaboration. In fact, a variety of intuitive messages are communicated through motion and continuously inform the partners about the future unfolding of the actions. A similar exchange of implicit information could support movement coordination in the context of Human-Robot Interaction. In this work, we investigate how implicit signaling in an interaction with a humanoid robot can lead to emergent coordination in the form of automatic speed adaptation. In particular, we assess wh

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Sripian, Peeraya, Muhammad Nur Adilin Mohd Anuardi, Jiawei Yu, and Midori Sugaya. "The Implementation and Evaluation of Individual Preference in Robot Facial Expression Based on Emotion Estimation Using Biological Signals." Sensors 21, no. 18 (2021): 6322. http://dx.doi.org/10.3390/s21186322.

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Recently, robot services have been widely applied in many fields. To provide optimum service, it is essential to maintain good acceptance of the robot for more effective interaction with users. Previously, we attempted to implement facial expressions by synchronizing an estimated human emotion on the face of a robot. The results revealed that the robot could present different perceptions according to individual preferences. In this study, we considered individual differences to improve the acceptance of the robot by changing the robot’s expression according to the emotion of its interacting pa

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Shin, Dong-Hee, and Hyungseung Choo. "Modeling the acceptance of socially interactive robotics." Interaction Studies 12, no. 3 (2011): 430–60. http://dx.doi.org/10.1075/is.12.3.04shi.

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Based on an integrated theoretical framework, this study analyzes user acceptance behavior toward socially interactive robots focusing on the variables that influence the users’ attitudes and intentions to adopt robots. Individuals’ responses to questions about attitude and intention to use robots were collected and analyzed according to different factors modified from a variety of theories. The results of the proposed model explain that social presence is key to the behavioral intention to accept social robots. The proposed model shows the significant roles of perceived adaptivity and sociabi

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Tu, Yun-Chen, Sung-En Chien, Yueh-Yi Lai, Jen-Chi Liu, and Su-Ling Yeh. "THE UNCANNY VALLEY REVISITED: AGE-RELATED DIFFERENCE AND THE EFFECT OF FUNCTION TYPE." Innovation in Aging 3, Supplement_1 (2019): S330. http://dx.doi.org/10.1093/geroni/igz038.1202.

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Abstract Due to declined birthrate and the increased aging population, solving the problem of labor shortage has become important. Introducing robotic labors could effectively help older adults’ daily lives. However, older adults’ acceptance of robots was lower than younger adults. Robot’s appearance might be one of the reasons. The Uncanny Valley (UV) refers to the phenomenon that people rate more positively as robots become more humanlike, but only up to a certain point; as it approaches near-perfect similarity of human appearance, likeability drops and forms an uncanny valley. Nonetheless,

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Ruchik, Kashyapkumar Thaker. "Human-Robot Interaction: Designing robots that can naturally interact and collaborate with humans." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 6, no. 4 (2020): 1–6. https://doi.org/10.5281/zenodo.14001622.

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Robot learning from demonstration (LfD) is a key research paradigm that addresses the challenge of scaling robot learning, enabling robots to acquire new knowledge without prior expertise in mechanical engineering or computer programming. This approach allows non-experts to teach robots tasks, promoting real-world applications where robots, like newborns, can learn from humans through interaction. The literature highlights the significant role of LfD in human-robot collaborative tasks, emphasizing the importance of designing communication frameworks for effective human-robot collaboration (HRC

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Morze, Magdalena. "Human Robot Interaction - key areas in teamwork." Journal of Advanced Research in Leadership 1, no. 2 (2022): 9–17. http://dx.doi.org/10.33422/jarl.v1i2.158.

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Industry 4.0 is based on the implementation of smart technologies. Work teams consisting of humans and intelligent machines, such as robots, are becoming more common. Their cooperation is based on joint performance of tasks in order to achieve set goals. The aim of the article is to present the challenges associated with the functioning of new types of work teams in organizations: based on cooperation between people and intelligent machines (robots or artificial intelligence algorithms). The article discusses the impact of factors such as trust, mental models, human personality, and machine re

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Chu, Li, Hung-Wen Chen, Pei-Yi Cheng, et al. "Identifying Features that Enhance Older Adults’ Acceptance of Robots: A Mixed Methods Study." Gerontology 65, no. 4 (2019): 441–50. http://dx.doi.org/10.1159/000494881.

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Background: With global aging, robots are considered a promising solution for handling the shortage of aged care and companionships. However, these technologies would serve little purpose if their intended users do not accept them. While the socioemotional selectivity theory predicts that older adults would accept robots that offer emotionally meaningful relationships, selective optimization with compensation model predicts that older adults would accept robots that compensate for their functional losses. Objective: The present study aims to understand older adults’ expectations for robots and

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Chang, I. Joyce, Tim S. Welch, David Knox, Adriatik Likcani, and Allison C. Tsay. "Outsourcing Love, Companionship, and Sex: Robot Acceptance and Concerns." Sexes 6, no. 2 (2025): 17. https://doi.org/10.3390/sexes6020017.

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Due to constantly evolving technology, a new challenge has entered the relationship landscape: the inclusion of robots as emotional and intimate partners. This article raises the question of the degree to which companionship and intimacy may be fulfilled by robots. Three hundred and fourteen undergraduates, the majority of whom were first- or second-year college students, responded to an online survey on robot acceptance. Factor analysis identified two constructs, which the authors labeled as simulated companionship (e.g., robots as companions/helpful assistants) and simulated intimacy (e.g.,

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Almahameed, Ala, Dana AlShwayat, Mario Arias-Oliva, and Jorge Pelegrín-Borondo. "ROBOTS IN EDUCATION: A JORDANIAN UNIVERSITY CASE STUDY." Journal of Management and Business Education 3, no. 2 (2020): 164–80. http://dx.doi.org/10.35564/jmbe.2020.0011.

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This paper adopts a technology acceptance model used for studying Robot’s acceptance and focuses on the acceptance of robotic technologies. Despite a wide range of studies on the acceptance and usage of robotics technologies in different fields, there is lacuna of empirical evidence on the acceptance of robotics technologies in the educational context. We contribute to the scholarship on robotics technologies in an educational context, by using qualitative semi-structured interviews, and proposing a research model to empirically explore the main factors affecting the acceptance of robotics tec

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Ding, Bin, Yameng Li, Shah Miah, and Wei Liu. "Customer acceptance of frontline social robots—Human-robot interaction as boundary condition." Technological Forecasting and Social Change 199 (February 2024): 123035. http://dx.doi.org/10.1016/j.techfore.2023.123035.

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M, Khalufi Nasser Ali. "Augmenting Consumer Acceptance of Robot-Assisted Technologies in Retail Industry: An Interdisciplinary Approach." Journal of Accounting, Business and Management (JABM) 32, no. 1 (2024): 23. http://dx.doi.org/10.31966/jabminternational.v32i1.1451.

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Since they have been incorporated into retail, robots have been discussed more frequently in academic publications and public debate. Customers in retail sector, as well as workers will be resistant to the rising employment of robots as their capabilities increase and they are employed to supplement or replace human labour. "Interdisciplinary" denotes a technique that amalgamates knowledge and methodologies from several academic or professional domains to attain a thorough comprehension of a particular subject or matter. As robots and AI become more common in society, this study examines the p

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Michalak, Benjamin, Fabian Tiele, Axel Vick, and Kevin Haninger. "Verbesserung der Körperhaltung während der Mensch-Roboter-Kollaboration." ASU Arbeitsmedizin Sozialmedizin Umweltmedizin 2025, no. 01 (2024): 13–17. https://doi.org/10.17147/asu-1-411955.

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Improving Posture During Human-Robot Collaboration The collaboration between humans and robots enables the combination of the respective strengths of both. However, the interaction is not always intuitive, safe and pleasant. A robot movement that enables an improved posture of the employee supports the personalization of the workstation. This can have positive effects on acceptance and effectiveness and even a larger group of people can be involved in the activity.

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Kim, Min-Jung. "A Study on The Effect of Customers’ Experience with Serving Robots on Intimacy, Service Satisfaction, and Service Acceptance Intention: Focusing on Moderating Effect of Robot Anthropomorphism." Foodservice Management Society of Korea 28, no. 1 (2025): 263–85. https://doi.org/10.47584/2025.28.1.263.

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Objective: This study examines key factors influencing customer satisfaction and the acceptance of serving robots, which are rapidly growing in the food service industry. Methods: The survey targeted customers who had dined at robot-serving restaurants at least once within in the past three months. For the final analysis, this study used a total of 350 valid responses. This study used two-step verification procedure within the structural equation model(SEM) to analyze the research model. Results: Enjoyment and interactivity positively influenced intimacy, which, in turn, enhanced satisfaction

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Jembere, Sarah, Padhma Moodley, and Nancy Kiliswa. "Acceptance of Professional Service Robots: A Cross-Cultural Study." African Journal of Inter/Multidisciplinary Studies 5, no. 1 (2023): 1–11. http://dx.doi.org/10.51415/ajims.v5i1.1162.

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Service robots are humanoid and non-humanoid machines that communicate and deliver services to customers of an organisation. They are Artificial intelligence (AI) enabled and display human intelligence (Wirtz et al., 2018; Blut et al., 2021). Service robots may undertake cognitive-analytical activities and emotional-social duties. Artificial Intelligence is built-in to service robots, allowing them to interact with the customer as regular hospitality services thrive on providing interpersonal interactions to create customer value. As substitutes for human employees, service robots may posit a

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Porubčinová, Martina, and Helena Fidlerová. "Determinants of Industry 4.0 Technology Adaption and Human - Robot Collaboration." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 28, no. 46 (2020): 10–21. http://dx.doi.org/10.2478/rput-2020-0002.

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AbstractAim of the paper is to analyse specific factors of human-robot collaboration and adoption to Industry 4.0 technologies in relation to working in mixed teams and in virtual work environment. Based on literature review and current findings in unified theory of technology acceptance and use of technology (UTAUT) model and its extensions, new endogenous factors might be included/considered, in a UTAUT model, namely emotional attitude (trust towards technology, perceived threat) and new moderators such as a location of organization and type of workplace-based training in organization. Team

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Ghobadi, Narges, Nariman Sepehri, Witold Kinsner, and Tony Szturm. "Beyond Human Touch: Integrating Soft Robotics with Environmental Interaction for Advanced Applications." Actuators 13, no. 12 (2024): 507. https://doi.org/10.3390/act13120507.

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Soft robotics is an emerging field dedicated to the design and development of robots with soft structures. Soft robots offer unique capabilities in terms of flexibility, adaptability, and safety of physical interaction, and therefore provide advanced collaboration between humans and robots. The further incorporation of soft actuators, advanced sensing technologies, user-friendly control interfaces, and safety considerations enhance the interaction experience. Applications in healthcare, specifically in rehabilitation and assistive devices, as well as manufacturing, show how soft robotics has r

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Yan, Yuchen, Haotian Su, and Yunyi Jia. "Modeling and Analysis of Human Comfort in Human–Robot Collaboration." Biomimetics 8, no. 6 (2023): 464. http://dx.doi.org/10.3390/biomimetics8060464.

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The emergence and recent development of collaborative robots have introduced a safer and more efficient human–robot collaboration (HRC) manufacturing environment. Since the release of COBOTs, a great amount of research efforts have been focused on improving robot working efficiency, user safety, human intention detection, etc., while one significant factor—human comfort—has been frequently ignored. The comfort factor is critical to COBOT users due to its great impact on user acceptance. In previous studies, there is a lack of a mathematical-model-based approach to quantitatively describe and p

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Litwinek, Justyna. "HUMAN-ROBOT COLLABORATION IN THE WORKPLACE PERCEPTION OF TECHNICAL AND SOCIAL SCIENCE STUDENTS IN POLAND." Scientific Papers of Silesian University of Technology Organization and Management Series 2025, no. 216 (2025): 253–63. https://doi.org/10.29119/1641-3466.2025.216.17.

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Purpose: The article investigates the perception of human-robot collaboration (HRC) in the workplace among students with diverse fields of study (social and technical). The primary objective was to identify differences in attitudes, interests, and emotional responses towards robots, providing insights into their acceptance and future integration into professional environments. Design/methodology/approach: The research employed a survey-based approach, collecting data from 130 students: 69 from social sciences and 61 from technical fields using the CAWI technique. It focused on analysing studen

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Louie, Wing-Yue Geoffrey, Derek McColl, and Goldie Nejat. "Acceptance and Attitudes Toward a Human-like Socially Assistive Robot by Older Adults." Assistive Technology 26, no. 3 (2014): 140–50. http://dx.doi.org/10.1080/10400435.2013.869703.

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Puspanathan, Thamilini, Günter Bitsch, and Louis Louw. "Systematic literature review on the acceptance of human-robot collaboration among assembly workers." Procedia CIRP 126 (2024): 188–93. http://dx.doi.org/10.1016/j.procir.2024.08.322.

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Gao, Yajie, Yaping Chang, Tangwutu Yang, and Zhihao Yu. "Consumer acceptance of social robots in domestic settings: A human-robot interaction perspective." Journal of Retailing and Consumer Services 82 (January 2025): 104075. http://dx.doi.org/10.1016/j.jretconser.2024.104075.

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Collins, Galen R. "Improving human–robot interactions in hospitality settings." International Hospitality Review 34, no. 1 (2020): 61–79. http://dx.doi.org/10.1108/ihr-09-2019-0019.

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PurposeService robotics, a branch of robotics that entails the development of robots able to assist humans in their environment, is of growing interest in the hospitality industry. Designing effective autonomous service robots, however, requires an understanding of Human–Robot Interaction (HRI), a relatively young discipline dedicated to understanding, designing, and evaluating robotic systems for use by or with humans. HRI has not yet received sufficient attention in hospitality robotic design, much like Human–Computer Interaction (HCI) in property management system design in the 1980s. This

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Herrera, Daniel, Javier Gimenez, Matias Monllor, Flavio Roberti, and Ricardo Carelli. "Cognitive social zones for improving the pedestrian collision avoidance with mobile robots." Revista Politécnica 42, no. 2 (2019): 07–14. http://dx.doi.org/10.33333/rp.vol42n2.1015.

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Social behaviors are crucial to improve the acceptance of a robot in human-shared environments. One of themost important social cues is undoubtedly the social space. This human mechanism acts like a repulsive field to guaranteecomfortable interactions. Its modeling has been widely studied in social robotics, but its experimental inference has beenweakly mentioned. Thereby, this paper proposes a novel algorithm to infer the dimensions of an elliptical social zone froma points-cloud around the robot. The approach consists of identifying how the humans avoid a robot during navigationin shared sce

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Adeniyi, Dapo. "The Role of Trust in Human-Robot Interaction: A Perspective on Factors Influencing Trust Development." International Research Journal of Innovations in Engineering and Technology 09, no. 06 (2025): 112–18. https://doi.org/10.47001/irjiet/2025.906013.

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Trust is a fundamental determinant of successful human-robot interaction (HRI), shaping user acceptance, reliance, and collaboration with robotic systems. This paper examines trust development in HRI through the lens of Social Exchange Theory (SET), emphasizing key influencing factors such as reliability, transparency, predictability, and social behavior. Trust plays a pivotal role in various domains, including healthcare, manufacturing, and autonomous systems, where user confidence in robotic performance is crucial for effective adoption. By analyzing empirical research, this study highlights

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Chiu, Ching-Ju, Shiuan Hsieh, and Chia-Wei Li. "Needs and Preferences of Middle-Aged and Older Adults in Taiwan for Companion Robots and Pets: Survey Study." Journal of Medical Internet Research 23, no. 6 (2021): e23471. http://dx.doi.org/10.2196/23471.

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Background In recent years, robots have been considered a new tech industry that can be used to solve the shortage in human resources in the field of health care. Also, animal-assisted therapy has been used to provide assistance, companionship, and interaction among the elderly and has been shown to have a positive impact on their emotional and psychological well-being. Both pets and robots can provide dynamic communication and positive interaction patterns. However, preferences for middle-aged and older adults in this regard are not clear. Objective This study explored the degree of acceptanc

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Antonio, Imelda B., Jerwin Sadia, Roe Jr A. Bata-anon, Erwin B. Quendangan, and Jeffrey T. Leonen. "EXPLORING THE DYNAMICS OF HUMAN- ROBOT INTERACTION(HRI): A MULTIDISCIPLINARY INVESTIGATION." Ignatian International Journal for Multidisciplinary Research 2, no. 6 (2024): 2081–91. https://doi.org/10.5281/zenodo.12560284.

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This study explores the dynamics of human-robot interaction (HRI) by integrating insights from cognitive science, robotics engineering, sociology, psychology, and ethics. The research aims to understand the factors influencing human perception and acceptance of robots, as well as the implications for individuals, communities, and broader societal structures. The study employs a descriptive research methodology, gathering data through questionnaires and direct perception from 30 respondents. The results highlight the importance of multidisciplinary approaches in enhancing HRI, including design,

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Pinney, Joel, Fiona Carroll, and Paul Newbury. "Human-robot interaction: the impact of robotic aesthetics on anticipated human trust." PeerJ Computer Science 8 (January 14, 2022): e837. http://dx.doi.org/10.7717/peerj-cs.837.

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Background Human senses have evolved to recognise sensory cues. Beyond our perception, they play an integral role in our emotional processing, learning, and interpretation. They are what help us to sculpt our everyday experiences and can be triggered by aesthetics to form the foundations of our interactions with each other and our surroundings. In terms of Human-Robot Interaction (HRI), robots have the possibility to interact with both people and environments given their senses. They can offer the attributes of human characteristics, which in turn can make the interchange with technology a mor

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Saeki, Waka, and Yoshiyuki Ueda. "Sequential model based on human cognitive processing to robot acceptance." Frontiers in Robotics and AI 11 (March 15, 2024). http://dx.doi.org/10.3389/frobt.2024.1362044.

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Robots have tremendous potential, and have recently been introduced not only for simple operations in factories, but also in workplaces where customer service communication is required. However, communication robots have not always been accepted. This study proposes a three-stage (first contact, interaction, and decision) model for robot acceptance based on the human cognitive process flow to design preferred robots and clarifies the elements of the robot and the processes that affect robot acceptance decision-making. Unlike previous robot acceptance models, the current model focuses on a sequ

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Esterwood, Connor, Kyle Essenmacher, Han Yang, Fanpan Zeng, and Lionel Robert. "A Meta-Analysis of Human Personality and Robot Acceptance in Human-Robot Interaction." SSRN Electronic Journal, 2021. http://dx.doi.org/10.2139/ssrn.3768022.

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