Skip to main content
Log in

Should I Blame the Human or the Robot? Attribution Within a Human–Robot Group

  • Published:
International Journal of Social Robotics Aims and scope Submit manuscript

Abstract

The present research studies the attribution of credit for success and attribution of blame for failure in a human–robot group. In the experiment, two participants of the same gender and a robot composed of a group that cooperated to solve the desert survival problem. Each group completed two tasks whose outcomes were manipulated: one task succeeded, and the other task failed. The participants were asked to attribute the credit of success and blame of failure to the group members, including the robot member, the human member, and the participants themselves. The results are as follows. First, participants attributed more credit and less blame to the robot member than to themselves. Second, participants attributed less blame to the human member than to themselves, and no significant difference was observed in the attribution of credit between them. Third, the robot member was more blamed than the human member, whereas they received similar levels of credit. Finally, compared with male participants, female participants assigned more credit and less blame to the robot member. The findings in this paper shed some light on the allocation of responsibility based on outcomes in human–robot groups.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Boudreaux BA, Rosenthal EL, Magnuson JS et al (2009) Robot-assisted surgery for upper aerodigestive tract neoplasms. Archiv Otolaryngol Head Neck Surg 135:397–401

    Article  Google Scholar 

  2. Casper J, Murphy RR (2003) Human-robot interactions during the robot-assisted urban search and rescue response at the world trade center. IEEE Trans Syst Man Cybern Part B Cybern 33:367–385

    Article  Google Scholar 

  3. Cherubini A, Passama R, Crosnier A et al (2016) Collaborative manufacturing with physical human–robot interaction. Robot Comput Integr Manuf 40:1–13

    Article  Google Scholar 

  4. Nikolaidis S, Shah J (2012) Human-robot teaming using shared mental models. ACM/IEEE HRI

  5. Gleeson B, MacLean K, Haddadi A, et al (2013) Gestures for industry intuitive human-robot communication from human observation. In: 2013 8th ACM/IEEE International conference on human–robot interaction (HRI). IEEE, Tokyo, Japan, pp 349–356

  6. Shah J, Wiken J, Williams B, Breazeal C (2011) Improved human-robot team performance using chaski, a human-inspired plan execution system. In: Proceedings of the 6th international conference on human–robot interaction. ACM, pp 29–36

  7. You S, Robert L (2017) Emotional attachment, performance, and viability in teams collaborating with embodied physical action (EPA) robots. J Assoc Inf Syst 19:377–407

    Google Scholar 

  8. Friedman B (1995) “It’s the computer’s fault”: reasoning about computers as moral agents. In: Conference companion on human factors in computing systems. ACM, pp 226–227

  9. Malle BF, Scheutz M, Arnold T, et al (2015) Sacrifice one for the good of many? people apply different moral norms to human and robot Agents. In: 2015 10th ACM/IEEE International conference on human–robot interaction (HRI). pp 117–124

  10. Waytz A, Heafner J, Epley N (2014) The mind in the machine: anthropomorphism increases trust in an autonomous vehicle. J Exp Soc Psychol 52:113–117. https://doi.org/10.1016/j.jesp.2014.01.005

    Article  Google Scholar 

  11. Ososky S, Schuster D, Phillips E, Jentsch FG (2013) Building appropriate trust in human-robot teams. In: 2013 AAAI spring symposium series

  12. Gombolay MC, Gutierrez RA, Clarke SG et al (2015) Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams. Autonomous Robots 39:293–312

    Article  Google Scholar 

  13. Nass C, Moon Y (2000) Machines and mindlessness: social responses to computers. J Soc Issues 56:81–103

    Article  Google Scholar 

  14. Reeves B, Nass CI (1996) The media equation: how people treat computers, television, and new media like real people and places. Cambridge University Press, Cambridge

    Google Scholar 

  15. Nass CI, Brave S (2005) Wired for speech: how voice activates and advances the human-computer relationship. MIT press Cambridge, Cambridge

    Google Scholar 

  16. Miller DT, Ross M (1975) Self-serving biases in the attribution of causality: fact or fiction? Psychol Bull 82:213

    Article  Google Scholar 

  17. Sedikides C, Campbell WK, Reeder GD, Elliot AJ (1998) The self-serving bias in relational context. J Pers Soc Psychol 74:378

    Article  Google Scholar 

  18. You S, Nie J, Suh K, Sundar SS (2011) When the robot criticizes you…: self-serving bias in human-robot interaction. In: Proceedings of the 6th international conference on human–robot interaction. ACM, pp 295–296

  19. Moon Y (2003) Don’t blame the computer: when self-disclosure moderates the self-serving bias. J Consum Psychol 13:125–137

    Google Scholar 

  20. Lev-On A, Chavez A, Bicchieri C (2010) Group and dyadic communication in trust games. Ration Soc. https://doi.org/10.1177/1043463109337100

    Article  Google Scholar 

  21. Schopler J, Insko CA, Wieselquist J et al (2001) When groups are more competitive than individuals: the domain of the discontinuity effect. J Pers Soc Psychol 80:632–644. https://doi.org/10.1037/0022-3514.80.4.632

    Article  Google Scholar 

  22. Yiqian Cao et al (2006) Interactional context and willingness to communicate: a comparison of behavior in whole class, group and dyadic interaction. System. https://doi.org/10.1016/j.system.2006.05.002

    Article  Google Scholar 

  23. Chang WL, White JP, Park J, et al (2012) The effect of group size on people’s attitudes and cooperative behaviors toward robots in interactive gameplay. In: 2012 IEEE RO-MAN: the 21st IEEE international symposium on robot and human interactive communication. IEEE, pp 845–850

  24. Aries E (1976) Interaction patterns and themes of male, female, and mixed groups. Small Group Behav 7:7–18

    Article  Google Scholar 

  25. Venkatesh V, Morris Michael G, Ackerman Phillip L (2000) A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organ Behav Human Decis Processes 83:33–60. https://doi.org/10.1006/obhd.2000.2896

    Article  Google Scholar 

  26. Morris VMG (2000) Why don’t men ever stop to ask for directions? gender, social influence, and their role in technology acceptance and usage behavior. MIS Q 24:115–139. https://doi.org/10.2307/3250981

    Article  Google Scholar 

  27. Chin MG, Sims VK, Clark B, Lopez GR (2004) Measuring individual differences in anthropomorphism toward machines and animals. Proceed Human Factors Ergon Soc Annu Meet 48:1252–1255. https://doi.org/10.1177/154193120404801110

    Article  Google Scholar 

  28. Mutlu B, Osman S, Forlizzi J, et al (2006) Task structure and user attributes as elements of human-robot interaction design. In: ROMAN 2006-The 15th IEEE international symposium on robot and human interactive communication. IEEE, pp 74–79

  29. Schermerhorn P, Scheutz M, Crowell CR (2008) Robot social presence and gender: do females view robots differently than males? In: Proceedings of the 3rd ACM/IEEE international conference on human robot interaction. ACM, pp 263–270

  30. Nomura T, Kanda T, Suzuki T (2006) Experimental investigation into influence of negative attitudes toward robots on human–robot interaction. AI Soc 20:138–150

    Article  Google Scholar 

  31. Kelley HH, Michela JL (1980) Attribution theory and research. Annu Rev Psychol 31:457–501

    Article  Google Scholar 

  32. Heider F (1958) The psychology of interpersonal relations. Psychology Press, London

    Book  Google Scholar 

  33. Nisbett RE, Ross L (1980) Human inference: strategies and shortcomings of social judgment. Philos Rev. https://doi.org/10.2307/2184495

    Article  Google Scholar 

  34. Choi D, Lou D (2010) A test of the self-serving attribution bias: evidence from mutual funds. In: Fourth Singapore international conference on finance

  35. Deffains B, Espinosa R, Thöni C (2016) Political self-serving bias and redistribution. J Public Econ 134:67–74

    Article  Google Scholar 

  36. Libby R, Rennekamp K (2012) Self-serving attribution bias, overconfidence, and the issuance of management forecasts. J Account Res 50:197–231

    Article  Google Scholar 

  37. Kim T, Hinds P (2006) Who should I blame? Effects of autonomy and transparency on attributions in human-robot interaction. In: Robot and human interactive communication, 2006. ROMAN 2006. The 15th IEEE international symposium on. IEEE, pp 80–85

  38. S Kiesler, J Goetz (2002) Mental models of robotic assistants. In: Extended abstracts of the 2002 conference on human factors in computing systems, CHI 2002, Minneapolis, Minnesota, USA, April 20–25, 2002. https://doi.org/10.1145/506443.506491

  39. Schlenker BR, Miller RS (1977) Egocentrism in groups: self-serving biases or logical information processing? J Pers Soc Psychol 35:755–764. https://doi.org/10.1037/0022-3514.35.10.755

    Article  Google Scholar 

  40. Walther JB, Bazarova NN (2007) Misattribution in virtual groups: the effects of member distribution on self-serving bias and partner blame. Human Commun Res 33:1–26

    Google Scholar 

  41. Stout RJ, Cannon-Bowers JA, Salas E, Milanovich DM (1999) Planning, shared mental models, and coordinated performance: an empirical link is established. Hum Factors 41:61–71

    Article  Google Scholar 

  42. Hinds PJ, Roberts TL, Jones H (2004) Whose job is it anyway? a study of human-robot interaction in a collaborative task. Hum Comput Interact 19:151–181

    Article  Google Scholar 

  43. Beckman L (1970) Effects of students’ performance on teachers’ and observers’ attributions of causality. J Educ Psychol 61:76

    Article  Google Scholar 

  44. Wetzel CG (1982) Self-serving biases in attribution: a Bayesian analysis. J Pers Soc Psychol 43:197

    Article  Google Scholar 

  45. Wang Y, Young JE (2014) Beyond pink and blue: gendered attitudes towards robots in society. In: Proceedings of gender and IT appropriation. science and practice on dialogue-forum for interdisciplinary exchange. european society for socially embedded technologies, p 49

  46. Shashaani L (1997) Gender differences in computer attitudes and use among college students. J Educ Comput Res 16:37–51

    Article  Google Scholar 

  47. Riedl R, Hubert M, Kenning P (2010) Are there neural gender differences in online trust? an fmri study on the perceived trustworthiness of ebay offers. MIS Q 34:397–428

    Article  Google Scholar 

  48. Rosander M, Eriksson O (2012) Conformity on the internet-the role of task difficulty and gender differences. Comput Hum Behav 28:1587–1595

    Article  Google Scholar 

  49. Dautenhahn K, Walters M, Woods S, et al (2006) How may I serve you?: a robot companion approaching a seated person in a helping context. In: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction. ACM, pp 172–179

  50. Eyssel F, De Ruiter L, Kuchenbrandt D, et al (2012) ‘If you sound like me, you must be more human’: on the interplay of robot and user features on human-robot acceptance and anthropomorphism. In: 2012 7th ACM/IEEE international conference on human–robot interaction (HRI). IEEE, pp 125–126

  51. Nomura T, Kanda T, Suzuki T, Kato K (2008) Prediction of human behavior in human–robot interaction using psychological scales for anxiety and negative attitudes toward robots. IEEE Trans Rob 24:442–451

    Article  Google Scholar 

  52. Carli LL (1982) Are women more social and men more task-oriented? A meta-analytic review of sex differences in group interaction, reward allocation, coalition formation, and cooperation in the prisoner’s dilemma game. unpublished manuscript, University of Massachusetts, Amherst

  53. Burgoon JK, Bonito JA, Bengtsson B et al (2000) Interactivity in human–computer interaction: a study of credibility, understanding, and influence. Comput Hum Behav 16:553–574

    Article  Google Scholar 

  54. James LR, Demaree RG, Wolf G (1984) Estimating within-group interrater reliability with and without response bias. J Appl Psychol 69:85

    Article  Google Scholar 

  55. Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15:155–163

    Article  Google Scholar 

  56. Moon Y, Nass C (1998) Are computers scapegoats? attributions of responsibility in human-computer interaction. Int J Hum Comput Stud 49:79–94

    Article  Google Scholar 

  57. Cozby PC (1973) Self-disclosure: a literature review. Psychol Bull 79:73

    Article  Google Scholar 

  58. Li Z, Rau P-LP (2019) Effects of self-disclosure on attributions in human–IoT conversational agent interaction. Interact Comput 31:13–26

    Article  Google Scholar 

  59. Robert LP, You S (2014) Human-robot interaction in groups: theory, method, and design for robots in groups. In: Proceedings of the 18th international conference on supporting group work. ACM, pp 310–312

  60. Jung MF, Šabanović S, Eyssel F, Fraune M (2017) Robots in groups and teams. In: Companion of the 2017 ACM conference on computer supported cooperative work and social computing. ACM, pp 401–407

  61. Leite I, Martinho C, Paiva A (2013) Social robots for long-term interaction: a survey. Int J Social Robot 5:291–308

    Article  Google Scholar 

  62. Vázquez M, Carter EJ, McDorman B, et al (2017) Towards robot autonomy in group conversations: understanding the effects of body orientation and gaze. In: Proceedings of the 2017 ACM/IEEE international conference on human-robot interaction - HRI’17. ACM Press, Vienna, Austria, pp 42–52

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pei-Luen Patrick Rau.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Tables 8 and 9.

Table 8 Speaking order of group members during discussion
Table 9 The robot’s rankings and reasons for Task IM and Task UM

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lei, X., Rau, PL.P. Should I Blame the Human or the Robot? Attribution Within a Human–Robot Group. Int J of Soc Robotics 13, 363–377 (2021). https://doi.org/10.1007/s12369-020-00645-w

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12369-020-00645-w

Keywords

Navigation