abstract

Using Robots to Moderate Team Conflict: The Case of Repairing Violations

Authors:

Nikolas Martelaro,

Pamela J. HindsAuthors Info & Claims

HRI '15: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction

Pages 229 - 236

https://doi.org/10.1145/2696454.2696460

Published: 02 March 2015 Publication History

Abstract

We explore whether robots can positively influence conflict dynamics by repairing interpersonal violations that occur during a team-based problem-solving task. In a 2 (negative trigger: task- directed vs. personal attack) x 2 (repair: yes vs. no) between- subjects experiment (N = 57 teams, 114 participants), we studied the effect of a robot intervention on affect, perceptions of conflict, perceptions of team members' contributions, and team performance during a problem-solving task. Specifically, the robot either intervened by repairing a task-directed or personal attack by a confederate or did not intervene. Contrary to our expectations, we found that the robot's repair interventions increased the groups' awareness of conflict after the occurrence of a personal attack thereby acting against the groups' tendency to suppress the conflict. These findings suggest that repair heightened awareness of a normative violation. Overall, our results provide support for the idea that robots can aid team functioning by regulating core team processes such as conflict.

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References

[1]

Andersson, L. M., & Pearson, C. M. Tit for tat? The spiraling effect of incivility in the workplace. Academy of management review,24, 3 (1999), 452--471.

[2]

Bartneck, C., Van Der Hoek, M., Mubin, O., & Al Mahmud, A. Daisy, Daisy, give me your answer do!: Switching off a robot. In Proc. HRI 2007, ACM Press (2007), 217--222.

Digital Library

[3]

Barsade, S. G. The ripple effect: Emotional contagion and its influence on group behavior. Administrative Science Quarterly 47, 4 (2002), 644--675.

[4]

Barsade, S. G., & Gibson, D. E. Why does affect matter in organizations?. The Academy of Management Perspectives 21, 1 (2007), 36--59.

[5]

Baxter (2014). www.rethinkrobotics.com/ products/baxter

[6]

Bradley, M., Lang, P. Measuring Emotion: The SelfAssessment Manikin and the Semantic Differential. Journal of Behavioral Theory and Experimental Psychology, 25, 1 (1994), 49--59

[7]

Breazeal, C., Kidd, C. D., Thomaz, A. L., Hoffman, G., & Berlin, M. (2005). Effects of nonverbal communication on efficiency and robustness in human-robot teamwork. In Proc. IROS 2005, 708--713.

[8]

De Dreu, C. K. Productive conflict: The importance of conflict management and conflict issue. Using conflict in organizations, (1997), 9--22.

[9]

De Dreu, C. K., & Weingart, L. R. Task versus relationship conflict, team performance, and team member satisfaction: a meta-analysis. Journal of applied Psychology 88, 4 (2003), 741--749.

[10]

Deutsch, M. Conflicts: Productive and destructive. Journal of Social Issues 25, 1 (1969), 7--42.

[11]

De Wit, F. R., Greer, L. L., & Jehn, K. A. The paradox of intragroup conflict: a meta-analysis. Journal of Applied Psychology 97, 2 (2012), 360--390.

[12]

Duysburgh, P., Elprama, S. A., & Jacobs, A. Exploring the social-technological gap in telesurgery: collaboration within distributed or teams. In Proc. CSCW 2014, ACM Press (2014), 1537--1548.

Digital Library

[13]

Eisenhardt, K. M., Kahwajy, J. L., & Bourgeois, L. J. How management teams can have a good fight. Harvard Business Review 75, 4 (1997), 77--85.

[14]

Fincannon, T., Barnes, L. E., Murphy, R. R., & Riddle, D. L. (2004). Evidence of the need for social intelligence in rescue robots. In Proceedings of IROS 2004. IEEE/RSJ 2, 1089--1095.

[15]

Gottman, J. M. (1994). What predicts divorce? Hillsdale NJ: Lawrence Earlbaum Associates.

[16]

Gross, J. J. Emotion regulation: Affective, cognitive, and social consequences. Psychophysiology 39, 3 (2002), 281--291

[17]

Gross, J. J. Emotion regulation: Taking stock and moving forward. Emotion 13, 3 (2013), 359--365.

[18]

Gross, J. J., & John, O. P. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. Journal of personality and social psychology 85, 2 (2003), 348--362.

[19]

Janis, I. L. (1972) Victims of groupthink: A psychological study of foreign-policy decisions and fiascoes. Oxford, England: Houghton Mifflin.

[20]

Jehn, K. A. A multimethod examination of the benefits and detriments of intragroup conflict. Administrative science quarterly (1995), 256--282.

[21]

Jehn, K. A. A qualitative analysis of conflict types and dimensions in organizational groups. Administrative science quarterly (1997), 530--557.

[22]

Jehn, K. A. & Mannix, E. The dynamic nature of conflict: A longitudinal study of intragroup conflict and group performance. The Academy of Management 44, 2 (2001), 238251.

[23]

Jung, M. F., Lee, J. J., DePalma, N., Adalgeirsson, S. O., Hinds, P. J., & Breazeal, C. Engaging robots: easing complex human-robot teamwork using backchanneling. In Proc. CSCW 2013, ACM Press (2013), 1555--1566.

Digital Library

[24]

Hinds, P. J., Roberts, T. L., & Jones, H. Whose job is it anyway? A study of human-robot interaction in a collaborative task. Human-Computer Interaction 19, 1 (2004), 151--181.

Digital Library

[25]

Knutson, B. Facial expressions of emotion influence interpersonal trait inferences. Journal of Nonverbal Behavior 20, 3 (1996), 165--182.

[26]

Levenson, R. W., & Gottman, J. M. Physiological and affective predictors of change in relationship satisfaction. Journal of personality and social psychology 49, 1 (1985), 85.

[27]

Leite, I., Castellano, G., Pereira, A., Martinho, C., & Paiva, A. Modelling empathic behaviour in a robotic game companion for children: an ethnographic study in real-world settings. In Proc. HRI 2012, ACM Press (2012), 367--374.

Digital Library

[28]

Murphy, R.R. Human-robot interaction in rescue robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews. 34, 2 (2004), 138--153.

Digital Library

[29]

Mutlu, B., Shiwa, T., Kanda, T., Ishiguro, H., & Hagita, N. Footing in human-robot conversations: how robots might shape participant roles using gaze cues. In Proc. HRI 2009, ACM Press (2009), 61--68.

Digital Library

[30]

Ohbuchi, K.-I., Kameda, M., & Agarie, N. Apology as aggression control: its role in mediating appraisal of and response to harm. Journal of Personality and Social Psychology 56, 2 (1989), 219--227.

[31]

Reeves, B., & Nass, C. (1996). How people treat computers, television, and new media like real people and places. Cambridge university press.

Digital Library

[32]

Ren, H., & Gray, B. Repairing relationship conflict: How violation types and culture influence the effectiveness of restoration rituals. Academy of Management Review 34, 1 (2008), 105--126.

[33]

Rimé, B. (2007). Interpersonal emotion regulation. Handbook of emotion regulation, 466--485.

[34]

Schegloff, E. A. When 'others' initiate repair. Applied linguistics 21, 2 (2000), 205--243

[35]

Schwarz, Norbert, Higgins, E. Tory; .(1990). Feelings as information: Informational and motivational functions of affective states. Handbook of motivation and cognition, Vol. 2., (pp. 527--561). New York, NY: Guilford Press

[36]

Staw, B. M. (1975). Attribution of the "causes" of performance: A general alternative interpretation of crosssectional research on organizations. Organizational Behavior and Human Performance 13, 3 (1975), 414--432.

[37]

Weingart, L., Behfar, K., Bendersky, C., Todorova, G., & Jehn, K. The directness and oppositional intensity of conflict expression. Academy of Management Review, (2014).

[38]

Zaki, J., & Williams, W. C. Interpersonal emotion regulation. Emotion 13, 5 (2013), 803--810.

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Using Robots to Moderate Team Conflict: The Case of Repairing Violations

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cover image ACM Conferences

HRI '15: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction

March 2015

368 pages

ISBN:9781450328838

DOI:10.1145/2696454

General Chairs:
Julie A. Adams
Vanderbilt University, USA
,
William Smart
Oregon State University, USA
,
Program Chairs:
Bilge Mutlu
University of Wisconsin-Madison, USA
,
Leila Takayama
Google[x], USA

Copyright © 2015 ACM.

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Published: 02 March 2015

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HRI '15: ACM/IEEE International Conference on Human-Robot Interaction

March 2 - 5, 2015

Oregon, Portland, USA

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https://dl.acm.org/doi/10.5555/3635637.3663260
KUBOTA TOGAWA K(2024)Influence of the Behavior of a Para-Operated Social Robot on the Impression Interlocutors Have of the Operator: an Online Study近接操作型対話ロボットの振る舞いが操作者の対人印象に与える影響のオンライン調査Journal of Japan Society for Fuzzy Theory and Intelligent Informatics10.3156/jsoft.36.4_69536:4(695-702)Online publication date: 15-Nov-2024
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Wen RFerraro FMatuszek C(2024)GPT-4 as a Moral Reasoner for Robot Command RejectionProceedings of the 12th International Conference on Human-Agent Interaction10.1145/3687272.3688319(54-63)Online publication date: 24-Nov-2024
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