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Influences of Evaluation and Gaze from a Robot and Humans’ Fear of Negative Evaluation on Their Preferences of the Robot

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Abstract

To investigate influences of evaluation from robots, gazes from the robots, and humans’ fear of negative evaluation (FNE) into the humans’ preferences of the robots, we conducted an experiment in which a human-sized robot is used for an advisory role, providing suggestion in foreign-language education. There were three independent variables controlled: evaluation from robot (evaluative vs. non-evaluative robot), users’ FNE (low FNE vs. high FNE), and gaze from robot (refrained gazes vs. normal gazes), and dependent variables were participants’ preferences of the robot as subjective measures and amount of utterances as an objective measure. The experimental results suggested that when the robot evaluated participants with a lower FNE, they preferred to use the robot with normal gaze behavior more than those with a higher FNE. While the effect of refrained gaze is not clear for people with higher FNE, for people with lower FNE, refrained gaze reduced their intention to participate when the robot evaluated them. Moreover, the experimental results suggested that persons having higher FNE tend to trust the robot more, and participants spoke more when the robot did not evaluate them and when it used the normal gaze. This paper discusses the implications for applications with potential evaluation capability, e.g. for healthcare and education.

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Notes

  1. According to DSM III by American Psychiatric Association (1987), the lifetime prevalence of social anxiety disorder is 3–13%.

References

  1. Bickmore TW, Picard RW (2005) Establishing and maintaining long-term human-computer interaction. ACM Trans Comput Human Interact 12:293–327

    Article  Google Scholar 

  2. Kidd C (2008) Designing for long-term human-robot interaction and application to weight loss. Ph.D. thesis, Massachusetts Institute of Technology Cambridge

  3. Nass C, Jonsson IM, Harris H, Reaves B, Endo J (2005) Improving automotive safety by pairing driver emotion and car voice emotion. In: Proceedings of ACM Conf. Human Factors in Computing Systems (CHI2005), pp 1973–1976

  4. Saerbeck M, Schut T, Bartneck C, Janse MD (2010) Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor. In: Proceedings of ACM Conf. Human Factors in Computing Systems (CHI2010), pp 1613–1622

  5. Brave S, Nass C, Hutchinson K (2005) Computers that care: Investigating the effects of orientation of emotion exhibited by an embodied computer agent. Int J Hum Comput Stud 62:161–178

  6. Watson JB, Friend R (1969) Measurement of social-evaluation anxiety. J Consult Clin Psychol 33:448–457

  7. Leary MR (1983) Understanding social anxiety: social, personality, and clinical perspectives. Sage, Beverly Hills

    Google Scholar 

  8. Horley K, Williamsa L, Gonsalvezb C, Gordon E (2003) Social phobics do not see eye to eye: a visual scanpath study of emotional expression processing. J Anxiety Disord 17:33–44

  9. Iizuka Y (1995) A study on the relationship of shyness and gaze. Jap J Psychol 66:277–282

    Article  Google Scholar 

  10. Pertaub DP, Slater M, Barker C (2001) An experiment on fear of public speaking in virtual reality. Stud Health Technol Inf 81:372–378

    Google Scholar 

  11. Stafford RQ, MacDonald BA, Li X, Broadbent E (2014) Older people’s prior robot attitudes influence evaluations of a conversational robot. Int J Soc Robot 6:281–297

    Article  Google Scholar 

  12. Welch KC, Lahiri U, Warren Z, Sarkar N (2010) An approach to the design of socially acceptable robots for children with autism spectrum disorders. Int J Soc Robot 2:391–403

    Article  Google Scholar 

  13. Ishikawa R, Sasaki K, Hukui I (1992) Standardization of Japanese version of fne and sads. Jap J Behav Ther 18:10–17

    Google Scholar 

  14. Heerink M, Kröse B, Evers V, Wielinga B (2010) Assessing acceptance of assistive social agent technology by older adults: the almere model. Int J Soc Robot 2:361–375

    Article  Google Scholar 

  15. Joinson AN (2001) Self-disclosure in computer-mediated communication: the role of self-awareness and visual anonymity. Euro J Soc Psychol 31:177–192

    Article  Google Scholar 

  16. Kang SH, Gratch J (2010) Virtual humans elicit socially anxious interactants’ verbal self-disclosure. Comput Animat Virtual Worlds 21:473–482

    Google Scholar 

  17. Hofmann SG, Asnaani A, Hilton DE (2010) Cultural aspects in social anxiety and social anxiety disorder. Depress Anxiety 27:1117–1127

    Article  Google Scholar 

Download references

Acknowledgments

The research was supported in part by the Japan Society for the Promotion of Science, Grant–in–Aid for Scientific Research No. 21118006. The authors deeply thank Dr. Michihiro Shimada and Ms. Sayaka Taniguchi in the ATR Intelligent Robotics and Communication Laboratories for their cooperation with the conduction of the experiment in this research.

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Correspondence to Tatsuya Nomura.

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Nomura, T., Kanda, T. Influences of Evaluation and Gaze from a Robot and Humans’ Fear of Negative Evaluation on Their Preferences of the Robot. Int J of Soc Robotics 7, 155–164 (2015). https://doi.org/10.1007/s12369-014-0270-y

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  • DOI: https://doi.org/10.1007/s12369-014-0270-y

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