The pursuit of happiness: the power and influence of AI teammate emotion in human-AI teamwork

References

• Adadi, A., and M. Berrada. 2018. “Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI).” IEEE Access 6:52138–52160. https://doi.org/10.1109/ACCESS.2018.2870052.
   Web of Science ®Google Scholar
• Andrejczuk, E., R. Berger, J. A. Rodriguez-Aguilar, C. Sierra, and V. Marín-Puchades. 2018. “The Composition and Formation of Effective Teams: Computer Science Meets Organizational Psychology.” The Knowledge Engineering Review 33:e17. https://doi.org/10.1017/S026988891800019X.
   Web of Science ®Google Scholar
• Bar-Tal, D., E. Halperin, and J. De Rivera. 2007. “Collective Emotions in Conflict Situations: Societal Implications.” Journal of Social Issues 63 (2): 441–460. https://doi.org/10.1111/josi.2007.63.issue-2.
   Web of Science ®Google Scholar
• Benbya, H., T. H. Davenport, and S. Pachidi. 2020. “Artificial Intelligence in Organizations: Current State and Future Opportunities.” MIS Quarterly Executive 19 (4): 9–21, Article 4.
   Web of Science ®Google Scholar
• Berg, M. E., and J. T. Karlsen. 2014. “How Project Managers Can Encourage and Develop Positive Emotions in Project Teams.” International Journal of Managing Projects in Business 7 (3): 449–472. https://doi.org/10.1108/IJMPB-01-2013-0003.
   Google Scholar
• Charmaz, K. 2006. Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Trowbridge, Wiltshire: Sage.
   Google Scholar
• Chen, J. Y., and M. J. Barnes. 2014. “Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues.” IEEE Transactions on Human-Machine Systems 44 (1): 13–29. https://doi.org/10.1109/THMS.2013.2293535.
   Web of Science ®Google Scholar
• Chen, G., and R. Kanfer. 2006. “Toward a Systems Theory of Motivated Behavior in Work Teams.” Research in Organizational Behavior 27:223–267. https://doi.org/10.1016/S0191-3085(06)27006-0.
   Web of Science ®Google Scholar
• Clark, R. E. 2003. “Fostering the Work Motivation of Individuals and Teams.” Performance Improvement 42 (3): 21–29. https://doi.org/10.1002/(ISSN)1930-8272.
   Google Scholar
• Cole, M. S., F. Walter, and H. Bruch. 2008. “Affective Mechanisms Linking Dysfunctional Behavior to Performance in Work Teams: A Moderated Mediation Study.” Journal of Applied Psychology 93 (5): 945–958. https://doi.org/10.1037/0021-9010.93.5.945.
   PubMed Web of Science ®Google Scholar
• Cooke, N. J., M. C. Cohen, W. C. Fazio, L. H. Inderberg, C. J. Johnson, G. J. Lematta, M. Peel, and A. Teo. 2023. “From Teams to Teamness: Future Directions in the Science of Team Cognition.” Human Factors, 00187208231162449.
   Google Scholar
• Corbin, J., and A. Strauss. 2014. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Thousand Oaks, CA: Sage publications.
   Google Scholar
• Crowder, J. A., and S. Friess. 2012. “Artificial Psychology: The Psychology of AI.” People 2 (3): 4–5.
   Google Scholar
• Davis, F. D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13 (3): 319–340. https://doi.org/10.2307/249008.
   Web of Science ®Google Scholar
• DeFreese, J., and A. L. Smith. 2013. “Teammate Social Support, Burnout, and Self-Determined Motivation in Collegiate Athletes.” Psychology of Sport and Exercise 14 (2): 258–265. https://doi.org/10.1016/j.psychsport.2012.10.009.
   Web of Science ®Google Scholar
• Demir, M., N. J. McNeese, and N. J. Cooke. 2017. “Team Situation Awareness Within the Context of Human-Autonomy Teaming.” Cognitive Systems Research 46:3–12. https://doi.org/10.1016/j.cogsys.2016.11.003.
   Web of Science ®Google Scholar
• Demir, M., N. J. McNeese, N. J. Cooke, J. T. Ball, C. Myers, and M. Frieman. 2015. “Synthetic Teammate Communication and Coordination with Humans.” In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 59, 951–955.
   Google Scholar
• Derks, D., A. H. Fischer, and A. E. Bos. 2008. “The Role of Emotion in Computer-Mediated Communication: A Review.” Computers in Human Behavior 24 (3): 766–785. https://doi.org/10.1016/j.chb.2007.04.004.
   Web of Science ®Google Scholar
• De Visser, E. J., R. Pak, and T. H. Shaw. 2018. “From ‘Automation’ to ‘Autonomy’: The Importance of Trust Repair in Human–Machine Interaction.” Ergonomics 61 (10): 1409–1427. https://doi.org/10.1080/00140139.2018.1457725.
   PubMed Web of Science ®Google Scholar
• Dickinson, T. L., and R. M. McIntyre. 1997. “A Conceptual Framework for Teamwork Measurement.” In Team Performance Assessment and Measurement, 31–56. Psychology Press.
   Google Scholar
• Di Pietrantonio, J., and D. Mendonca. 2020. “Opening the Black Box of Team Performance with Open-Source Games: A Review and Recommendations.” IEEE Transactions on Games 14 (2): 170–179. https://doi.org/10.1109/TG.2020.3032224.
   Web of Science ®Google Scholar
• Duffy, B. R. 2003. “Anthropomorphism and the Social Robot.” Robotics and Autonomous Systems 42 (3-4): 177–190. https://doi.org/10.1016/S0921-8890(02)00374-3.
   Web of Science ®Google Scholar
• Endsley, M. R. 2017. “From Here to Autonomy: Lessons Learned from Human–Automation Research.” Human Factors 59 (1): 5–27. https://doi.org/10.1177/0018720816681350.
   PubMed Web of Science ®Google Scholar
• ESA. 2022. “2020 Essential Facts about the Video Game Industry.” Entertainment Software Association.
   Google Scholar
• Fan, L., M. Scheutz, M. Lohani, M. McCoy, and C. Stokes. 2017. “Do We Need Emotionally Intelligent Artificial Agents? First Results of Human Perceptions of Emotional Intelligence in Humans Compared to Robots.” In International Conference on Intelligent Virtual Agents, 129–141.
   Google Scholar
• Farh, C. I., M.-G. Seo, and P. E. Tesluk. 2012. “Emotional Intelligence, Teamwork Effectiveness, and Job Performance: The Moderating Role of Job Context.” Journal of Applied Psychology 97 (4): 890–900. https://doi.org/10.1037/a0027377.
   PubMed Web of Science ®Google Scholar
• Fida, R., M. Paciello, C. Tramontano, R. G. Fontaine, C. Barbaranelli, and M. L. Farnese. 2015. “An Integrative Approach to Understanding Counterproductive Work Behavior: The Roles of Stressors, Negative Emotions, and Moral Disengagement.” Journal of Business Ethics 130 (1): 131–144. https://doi.org/10.1007/s10551-014-2209-5.
   Web of Science ®Google Scholar
• Fischer, A. H., and A. S. Manstead. 2008. “Social Functions of Emotion.” Handbook of Emotions 3: 456–468.
   Google Scholar
• Fox, S., P. E. Spector, and D. Miles. 2001. “Counterproductive Work Behavior (CWB) in Response to Job Stressors and Organizational Justice: Some Mediator and Moderator Tests for Autonomy and Emotions.” Journal of Vocational Behavior 59 (3): 291–309. https://doi.org/10.1006/jvbe.2001.1803.
   Web of Science ®Google Scholar
• Fredrickson, B. L. 1998. “What Good are Positive Emotions?” Review of General Psychology 2 (3): 300–319. https://doi.org/10.1037/1089-2680.2.3.300.
   PubMedGoogle Scholar
• Glikson, E., and A. W. Woolley. 2020. “Human Trust in Artificial Intelligence: Review of Empirical Research.” Academy of Management Annals 14 (2): 627–660. https://doi.org/10.5465/annals.2018.0057.
   Web of Science ®Google Scholar
• Gross, J. J. 2002. “Emotion Regulation: Affective, Cognitive, and Social Consequences.” Psychophysiology 39 (3): 281–291. https://doi.org/10.1017/S0048577201393198.
   PubMed Web of Science ®Google Scholar
• Harris-Watson, A. M., L. E. Larson, N. Lauharatanahirun, L. A. DeChurch, and N. S. Contractor. 2023. “Social Perception in Human-AI Teams: Warmth and Competence Predict Receptivity to AI Teammates.” Computers in Human Behavior 145:107765. https://doi.org/10.1016/j.chb.2023.107765.
   Web of Science ®Google Scholar
• Hazelton, S. 2014. “Positive Emotions Boost Employee Engagement: Making Work Fun Brings Individual and Organizational Success.” Human Resource Management International Digest 22 (1): 34–37. https://doi.org/10.1108/HRMID-01-2014-0012.
   Google Scholar
• Huber, M. J., and T. Hadley. 1997. “Multiple Roles, Multiple Teams, Dynamic Environment: Autonomous Netrek Agents.” In Proceedings of the First International Conference on Autonomous Agents, 332–339.
   Google Scholar
• Hüffmeier, J., and G. Hertel. 2011. “Many Cheers Make Light the Work: How Social Support Triggers Process Gains in Teams.” Journal of Managerial Psychology 26 (3): 185–204. https://doi.org/10.1108/02683941111112631.
   Web of Science ®Google Scholar
• Inkster, B., S. Sarda, and V. Subramanian. 2018. “An Empathy-Driven, Conversational Artificial Intelligence Agent (WYSA) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study.” JMIR MHealth and UHealth 6 (11): e12106. https://doi.org/10.2196/12106.
   PubMed Web of Science ®Google Scholar
• Izard, C. E. 1989. “The Structure and Functions of Emotions: Implications for Cognition, Motivation, and Personality.”
   Google Scholar
• Johnson, S. L., K. A. Haerling, W. Yuwen, V. Huynh, and C. Le. 2020. “Incivility and Clinical Performance, Teamwork, and Emotions: A Randomized Controlled Trial.” Journal of Nursing Care Quality 35 (1): 70–76. https://doi.org/10.1097/NCQ.0000000000000407.
   PubMed Web of Science ®Google Scholar
• Jones, G. R., and J. M. George. 1998. “The Experience and Evolution of Trust: Implications for Cooperation and Teamwork.” Academy of Management Review 23 (3): 531–546. https://doi.org/10.2307/259293.
   Web of Science ®Google Scholar
• Kaber, D. B., and M. R. Endsley. 1998. “Team Situation Awareness for Process Control Safety and Performance.” Process Safety Progress 17 (1): 43–48. https://doi.org/10.1002/(ISSN)1547-5913.
   Web of Science ®Google Scholar
• Katayama, S., A. Mathur, M. Van den Broeck, T. Okoshi, J. Nakazawa, and F. Kawsar. 2019. “Situation-Aware Emotion Regulation of Conversational Agents with Kinetic Earables.” In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), 725–731.
   Google Scholar
• Kiesler, S., A. Powers, S. R. Fussell, and C. Torrey. 2008. “Anthropomorphic Interactions with a Robot and Robot–Like Agent.” Social Cognition 26 (2): 169–181. https://doi.org/10.1521/soco.2008.26.2.169.
   Web of Science ®Google Scholar
• Kramer, A. D., J. E. Guillory, and J. T. Hancock. 2014. “Experimental Evidence of Massive-Scale Emotional Contagion Through Social Networks.” Proceedings of the National Academy of Sciences 111 (24): 8788–8790. https://doi.org/10.1073/pnas.1320040111.
   PubMed Web of Science ®Google Scholar
• Kugurakova, V., M. Talanov, N. Manakhov, and D. Ivanov. 2015. “Anthropomorphic Artificial Social Agent with Simulated Emotions and Its Implementation.” Procedia Computer Science 71:112–118. https://doi.org/10.1016/j.procs.2015.12.217.
   Google Scholar
• Lange, J., M. W. Heerdink, and G. A. Van Kleef. 2022. “Reading Emotions, Reading People: Emotion Perception and Inferences Drawn from Perceived Emotions.” Current Opinion in Psychology 43:85–90. https://doi.org/10.1016/j.copsyc.2021.06.008.
   PubMed Web of Science ®Google Scholar
• Lemaignan, S., M. Warnier, E. A. Sisbot, A. Clodic, and R. Alami. 2017. “Artificial Cognition for Social Human–Robot Interaction: An Implementation.” Artificial Intelligence 247:45–69. https://doi.org/10.1016/j.artint.2016.07.002.
   Web of Science ®Google Scholar
• Lindner, E. G. 2006. “Emotion and Conflict: Why it is Important to Understand How Emotions Affect Conflict and How Conflict Affects Emotions.” The Handbook of Conflict Resolution 2:268–293.
   Google Scholar
• Lord, R. G., and R. Kanfer. 2002. “Emotions and Organizational Behavior.” Emotions in the Workplace: Understanding the Structure and Role of Emotions in Organizational Behavior, 5–19.
   Google Scholar
• Luca, J., and P. Tarricone. 2001. “Does Emotional Intelligence Affect Successful Teamwork?”
   Google Scholar
• Lyons, J. B., K. T. Wynne, S. Mahoney, and M. A. Roebke. 2019. “Trust and Human-Machine Teaming: A Qualitative Study.” In Artificial Intelligence for the Internet of Everything, 101–116. Elsevier.
   Google Scholar
• Mallick, R., S. Sawant, N. McNeese, and K. Chalil Madathil. 2022. “Designing for Mutually Beneficial Decision Making in Human-Agent Teaming.” In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 66, 392–396.
   Google Scholar
• Marathe, A. R., K. E. Schaefer, A. W. Evans, and J. S. Metcalfe. 2018. “Bidirectional Communication for Effective Human-Agent Teaming.” In International Conference on Virtual, Augmented and Mixed Reality, 338–350.
   Google Scholar
• Maulsby, D., S. Greenberg, and R. Mander. 1993. “Prototyping an Intelligent Agent Through Wizard of Oz.” In Proceedings of the Interact'93 and Chi'93 Conference on Human Factors in Computing Systems, 277–284.
   Google Scholar
• McNeese, N. J., M. Demir, N. J. Cooke, and C. Myers. 2018. “Teaming with a Synthetic Teammate: Insights into Human-Autonomy Teaming.” Human Factors 60 (2): 262–273. https://doi.org/10.1177/0018720817743223.
   PubMed Web of Science ®Google Scholar
• Meneghel, I., M. Salanova, and I. M. Martínez. 2016. “Feeling Good Makes us Stronger: How Team Resilience Mediates the Effect of Positive Emotions on Team Performance.” Journal of Happiness Studies 17 (1): 239–255. https://doi.org/10.1007/s10902-014-9592-6.
   Web of Science ®Google Scholar
• Mercado, J. E., M. A. Rupp, J. Y. Chen, M. J. Barnes, D. Barber, and K. Procci. 2016. “Intelligent Agent Transparency in Human–Agent Teaming for Multi-UxV Management.” Human Factors 58 (3): 401–415. https://doi.org/10.1177/0018720815621206.
   PubMed Web of Science ®Google Scholar
• Merriam, S. B., and E. J. Tisdell. 2015. Qualitative Research: A Guide to Design and Implementation. San Francisco, CA: John Wiley & Sons.
   Google Scholar
• Methot, J. R., S. Melwani, and N. B. Rothman. 2017. “The Space Between us: A Social-Functional Emotions View of Ambivalent and Indifferent Workplace Relationships.” Journal of Management 43 (6): 1789–1819. https://doi.org/10.1177/0149206316685853.
   Web of Science ®Google Scholar
• Miles, M. B., and A. M. Huberman. 1994. Qualitative Data Analysis: An Expanded Sourcebook. Thousand Oaks, CA: Sage.
   Google Scholar
• Mohammad, S., and P. Turney. 2010. “Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon.” In Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, 26–34. Los Angeles, CA: Association for Computational Linguistics.
   Google Scholar
• Mohammad, S. M., and P. D. Turney. 2013. “Crowdsourcing a Word-Emotion Association Lexicon.” Computational Intelligence 29 (3): 436–465. https://doi.org/10.1111/coin.2013.29.issue-3.
   Web of Science ®Google Scholar
• Mohsin, M. A., and A. Beltiukov. 2019. “Summarizing Emotions from Text Using Plutchik's Wheel of Emotions.” In 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019), 291–294.
   Google Scholar
• Moors, A. 2010. Theories of Emotion Causation: A Review. London: Psychology Press.
   Google Scholar
• Neerincx, M. A., J. van der Waa, F. Kaptein, and J. van Diggelen. 2018. “Using Perceptual and Cognitive Explanations for Enhanced Human-Agent Team Performance.” In Engineering Psychology and Cognitive Ergonomics: 15th International Conference, EPCE 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15–20, 2018, Proceedings 15 204–214.
   Google Scholar
• Ochs, M., C. Pelachaud, and D. Sadek. 2008. “An Eempathic Virtual Dialog Agent to Improve Human-Machine Interaction.” In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems-Volume 1, 89–96.
   Google Scholar
• O'Neill, T., N. McNeese, A. Barron, and B. Schelble. 2022. “Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature.” Human Factors 64 (5): 904–938. https://doi.org/10.1177/0018720820960865.
   PubMed Web of Science ®Google Scholar
• Pelau, C., D. -C. Dabija, and I. Ene. 2021. “What Makes an AI Device Human-Like? The Role of Interaction Quality, Empathy and Perceived Psychological Anthropomorphic Characteristics in the Acceptance of Artificial Intelligence in the Service Industry.” Computers in Human Behavior 122:106855. https://doi.org/10.1016/j.chb.2021.106855.
   Web of Science ®Google Scholar
• Picard, R. W. 2000. Affective Computing. Cambridge, MA: MIT Press.
   Google Scholar
• Picard, R. W. 2003. “Affective Computing: Challenges.” International Journal of Human-Computer Studies 59 (1-2): 55–64. https://doi.org/10.1016/S1071-5819(03)00052-1.
   Web of Science ®Google Scholar
• Plutchik, R. 1960. “The Multifactor-Analytic Theory of Emotion.” the Journal of Psychology 50 (1): 153–171. https://doi.org/10.1080/00223980.1960.9916432.
   Web of Science ®Google Scholar
• Posner, J., J. A. Russell, and B. S. Peterson. 2005. “The Circumplex Model of Affect: An Integrative Approach to Affective Neuroscience, Cognitive Development, and Psychopathology.” Development and Psychopathology 17 (3): 715–734. https://doi.org/10.1017/S0954579405050340.
   PubMed Web of Science ®Google Scholar
• Prati, L. M., C. Douglas, G. R. Ferris, A. P. Ammeter, and M. R. Buckley. 2003. “Emotional Intelligence, Leadership Effectiveness, and Team Outcomes.” The International Journal of Organizational Analysis11 (1): 21–40. https://doi.org/10.1108/eb028961.
   Google Scholar
• Reeve, J. 2018. Understanding Motivation and Emotion. Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Richards, D., R. Vythilingam, and P. Formosa. 2023. “A Principlist-Based Study of the Ethical Design and Acceptability of Artificial Social Agents.” International Journal of Human-Computer Studies172:102980. https://doi.org/10.1016/j.ijhcs.2022.102980.
   Web of Science ®Google Scholar
• Riedl, M. O. 2019. “Human-Centered Artificial Intelligence and Machine Learning.” Human Behavior and Emerging Technologies 1 (1): 33–36. https://doi.org/10.1002/hbe2.2019.1.issue-1.
   Google Scholar
• Rimé, B. 2007. “Interpersonal Emotion Regulation.” Handbook of Emotion Regulation 1:466–468.
   Google Scholar
• Rosenfeld, L. B., and J. M. Richman. 1997. “Developing Effective Social Support: Team Building and the Social Support Process.” Journal of Applied Sport Psychology 9 (1): 133–153. https://doi.org/10.1080/10413209708415388.
   Web of Science ®Google Scholar
• Russell, J. A. 1980. “A Circumplex Model of Affect.” Journal of Personality and Social Psychology 39 (6): 1161–1178. https://doi.org/10.1037/h0077714.
   Web of Science ®Google Scholar
• Sabini, J., and M. Silver. 2005. “Ekman's Basic Emotions: Why Not Love and Jealousy?” Cognition & Emotion 19 (5): 693–712. https://doi.org/10.1080/02699930441000481.
   Web of Science ®Google Scholar
• Saldaña, J. 2021. “The Coding Manual for Qualitative Researchers.” In The Coding Manual for Qualitative Researchers. 3rd ed., 1–440.
   Google Scholar
• Salovey, P., and J. D. Mayer. 1990. “Emotional Intelligence.” Imagination, Cognition and Personality 9 (3): 185–211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG.
   Google Scholar
• Schaefer, K. E., E. R. Straub, J. Y. Chen, J. Putney, and A. W. Evans III. 2017. “Communicating Intent to Develop Shared Situation Awareness and Engender Trust in Human-Agent Teams.” Cognitive Systems Research 46:26–39. https://doi.org/10.1016/j.cogsys.2017.02.002.
   Web of Science ®Google Scholar
• Schelble, B. G., C. Flathmann, and N. McNeese. 2020. “Towards Meaningfully Integrating Human-Autonomy Teaming in Applied Settings.” In Proceedings of the 8th International Conference on Human-Agent Interaction, 149–156.
   Google Scholar
• Schelble, B. G., C. Flathmann, N. J. McNeese, G. Freeman, and R. Mallick. 2022. “Let's Think Together! Assessing Shared Mental Models, Performance, and Trust in Human-Agent Teams.” Proceedings of the ACM on Human-Computer Interaction 6 (GROUP): 1–29. https://doi.org/10.1145/3492832.
   PubMedGoogle Scholar
• Schelble, B. G., J. Lopez, C. Textor, R. Zhang, N. J. McNeese, R. Pak, and G. Freeman. 2022. “Towards Ethical AI: Empirically Investigating Dimensions of AI Ethics, Trust Repair, and Performance in Human-AI Teaming.” Human Factors, 00187208221116952.
   Google Scholar
• Shank, D. B., C. Graves, A. Gott, P. Gamez, and S. Rodriguez. 2019. “Feeling Our Way to Machine Minds: People's Emotions When Perceiving Mind in Artificial Intelligence.” Computers in Human Behavior 98:256–266. https://doi.org/10.1016/j.chb.2019.04.001.
   Web of Science ®Google Scholar
• Shively, R. J., J. Lachter, S. L. Brandt, M. Matessa, V. Battiste, and W. W. Johnson. 2017. “Why Human-Autonomy Teaming?” In International Conference on Applied Human Factors and Ergonomics, 3–11.
   Google Scholar
• Spector, P. E., S. Fox, and T. Domagalski. 2006. “Emotions, Violence and Counterproductive Work Behavior.” Handbook of Workplace Violence 29:46.
   Google Scholar
• Stephens, J. P., and A. Carmeli. 2016. “The Positive Effect of Expressing Negative Emotions on Knowledge Creation Capability and Performance of Project Teams.” International Journal of Project Management 34 (5): 862–873. https://doi.org/10.1016/j.ijproman.2016.03.003.
   Web of Science ®Google Scholar
• Tamminen, K. A., and P. Gaudreau. 2014. “Coping, Social Support, and Emotion Regulation in Teams.” In Group Dynamics in Exercise and Sport Psychology, 222–239. Routledge.
   Google Scholar
• Thibault, P., P. Bourgeois, and U. Hess. 2006. “The Effect of Group-Identification on Emotion Recognition: The Case of Cats and Basketball Players.” Journal of Experimental Social Psychology 42 (5): 676–683. https://doi.org/10.1016/j.jesp.2005.10.006.
   Web of Science ®Google Scholar
• Tong, X., D. Gromala, C. Neustaedter, F. D. Fracchia, Y. Dai, and Z. Lu. 2021. “Players' Stories and Secrets in Animal Crossing: New Horizons-Exploring Design Factors for Positive Emotions and Social Interactions in a Multiplayer Online Game.” Proceedings of the ACM on Human-Computer Interaction5 (CHI PLAY): 1–23. https://doi.org/10.1145/3474711.
   PubMedGoogle Scholar
• Troth, A. C., P. J. Jordan, S. A. Lawrence, and H. H. Tse. 2012. “A Multilevel Model of Emotional Skills, Communication Performance, and Task Performance in Teams.” Journal of Organizational Behavior 33 (5): 700–722. https://doi.org/10.1002/job.785.
   Web of Science ®Google Scholar
• Tse, H. H., and M. T. Dasborough. 2008. “A Study of Exchange and Emotions in Team Member Relationships.” Group & Organization Management 33 (2): 194–215. https://doi.org/10.1177/1059601106293779.
   Web of Science ®Google Scholar
• Van De Kieft, I., C. M. Jonker, and M. B. Van Riemsdijk. 2011. “Explaining Negotiation: Obtaining a Shared Mental Model of Preferences.” In Modern Approaches in Applied Intelligence: 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Iea/Aie 2011, Syracuse, NY, USA, June 28–July 1, 2011, Proceedings, Part II 24, 120–129.
   Google Scholar
• van der Goot, M. J., and T. Pilgrim. 2020. “Exploring Age Differences in Motivations for and Acceptance of Chatbot Communication in a Customer Service Context.” In Chatbot Research and Design: Third International Workshop, Conversations 2019, Amsterdam, the Netherlands, November 19–20, 2019, Revised Selected Papers 3, 173–186.
   Google Scholar
• Van Diggelen, J., M. Neerincx, M. Peeters, and J. M. Schraagen. 2018. “Developing Effective and Resilient Human-Agent Teamwork Using Team Design Patterns.” IEEE Intelligent Systems 34 (2): 15–24. https://doi.org/10.1109/MIS.2018.2886671.
   Web of Science ®Google Scholar
• Vögel, H.-J., C. Süß, T. Hubregtsen, V. Ghaderi, R. Chadowitz, E. André, N. Cummins, et al. 2018. “Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda.” In Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems, 11–15.
   Google Scholar
• Wang, W. 2017. “Smartphones as Social Actors? Social Dispositional Factors in Assessing Anthropomorphism.” Computers in Human Behavior 68:334–344. https://doi.org/10.1016/j.chb.2016.11.022.
   Web of Science ®Google Scholar
• Wang, Y., Y. Dai, S. Chen, L. Wang, and J. F. Hoorn. 2023. “Multiplayer Online Battle Arena (MOBA) Games: Improving Negative Atmosphere with Social Robots and AI Teammates.” Systems 11 (8): 425. https://doi.org/10.3390/systems11080425.
   Web of Science ®Google Scholar
• West, B. J., J. L. Patera, and M. K. Carsten. 2009. “Team Level Positivity: Investigating Positive Psychological Capacities and Team Level Outcomes.” Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior 30 (2): 249–267. https://doi.org/10.1002/job.v30:2.
   Web of Science ®Google Scholar
• Wognum, P., and E. C. Faber. 2002. “Infrastructures for Collaboration in Virtual Organisations.” International Journal of Networking and Virtual Organisations 1 (1): 32–54. https://doi.org/10.1504/IJNVO.2002.001462.
   Google Scholar
• Wolff, S. B., A. T. Pescosolido, and V. U. Druskat. 2002. “Emotional Intelligence as the Basis of Leadership Emergence in Self-Managing Teams.” The Leadership Quarterly 13 (5): 505–522. https://doi.org/10.1016/S1048-9843(02)00141-8.
   Web of Science ®Google Scholar
• Zhang, R., N. J. McNeese, G. Freeman, and G. Musick. 2021. “‘An Ideal Human’ Expectations of AI Teammates in Human-AI Teaming.” Proceedings of the ACM on Human-Computer Interaction 4 (CSCW3): 1–25. https://doi.org/10.1145/3432945.
   Google Scholar
• Zhang, W., and P. Xu. 2011. “Do I Have to Learn Something New? Mental Models and the Acceptance of Replacement Technologies.” Behaviour & Information Technology 30 (2): 201–211. https://doi.org/10.1080/0144929X.2010.489665.
   Web of Science ®Google Scholar
• Złotowski, J., D. Proudfoot, K. Yogeeswaran, and C. Bartneck. 2015. “Anthropomorphism: Opportunities and Challenges in Human–Robot Interaction.” International Journal of Social Robotics 7 (3): 347–360. https://doi.org/10.1007/s12369-014-0267-6.
   Web of Science ®Google Scholar
• Zurcher, L. A. 1982. “The Staging of Emotion: A Dramaturgical Analysis.” Symbolic Interaction 5 (1): 1–22. https://doi.org/10.1525/si.1982.5.1.1.
   Google Scholar