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Stress Game: The Role of Motivational Robotic Assistance in Reducing User’s Task Stress

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Abstract

In social HRI context, the robot’s usefulness and appropriate behavior plays an important role. A robot should be able to understand the human’s internal state (i.e., physiological and psychological states) so as to provide an adaptive and thus efficient assistance within daily life activities. Measuring stress and frustration of an individual while performing a certain task is a critical element that can help the robot adapt its behavior so as to improve user’s interest and task performance and to reduce his/her frustration. In this paper, we designed an experiment called “Stress Game”. In our work, stress is measured in terms of heart rate signal. The robot displays different behaviors as a function of user’s personality and game condition. We conducted our experiments with the NAO robot. The experimental results support our hypotheses that the robot has a positive effect on stress relief.

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Notes

  1. http://www.aldebaran-robotics.com/.

  2. http://www.phidgets.com/.

    Fig. 2
    figure 2

    Operation game board

  3. http://www.shimmer-research.com/.

  4. https://sites.google.com/site/naospersonalityevaluation/.

References

  1. Aly A, Tapus A (2013) A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human–robot interaction. In: Proceedings of the ACM/IEEE Human–Robot Interaction Conference (HRI 2013), IEEE Press, Taipei

  2. Ayzenberg Y, Hernandez J, Pica RW (2012) Feel: frequent eda and event logging, a mobile social interaction stress monitoring system. In: Extended Abstract of CHI 2012, ACM, Austin

  3. Changchun L, Rani P, Sarkar N (2006) Human–robot interaction using affective cues. In: The 15th IEEE international symposium on robot and human interactive communication (Ro–Man), IEEE, pp 285–290

  4. Dewaele JM, Furnham A (1999) Extraversion: the unloved variable in applied linguistic research. Lang Learn 49(3):509–544

    Article  Google Scholar 

  5. Eysenck HJ (1953) The structure of human personality. Abingdon, Routledge

    Google Scholar 

  6. Furnham A (1990) Language and personality. In: Giles H, Robinson W (eds) Handbook of language and social psychology. Winley, Perth

    Google Scholar 

  7. Goldberg LR (1990) An alternative description of personality: the big-five factor structure. J Pers Soc Psychol 59:1216–1229

    Article  Google Scholar 

  8. Gray J, Breazeal C (2014) Manipulating mental states through physical action. Int J Soc Robot 6(3):315–327

    Article  Google Scholar 

  9. Hernandez J, Morris R, Picard R (2011) Call center stress recognition with person-specific models. In: Proceedings of the affective computing and intelligent interaction, Springer, Berlin

  10. Kidd C, Breazeal C (2008) Robots at home: understanding long-term human–robot interaction. In: Proceedings of the 2008 IEEE/RSJ international conference on intelligent robots and systems, IEEE, Nice, France

  11. Lewthwaite R (1990) Motivational considerations physical activity involvement. Phys Ther 70(12):808

    Google Scholar 

  12. Lui C, Conn K, Sakar N, Stone W (2007) Robot and human interactive communication. (RO–MAN) 16:58–593

  13. Needle D (1987) Hypercard: rumors or reality. Comput Curr 11

  14. Peng KMLW, Jin SA, Yan C (2006) Can robots manifest personality?: an empirical test of personality recognition, social responses, and social presence in human-robot interaction. J Commun 56:754–772

    Article  Google Scholar 

  15. Rani P (2005) Psychophysiology-based affective communication for implicit human–robot interaction. Ph.D. Dissertation, Vanderbilt University

  16. Rani P, Sakar N, Smith CA (2004) D. Kirby, L.: anxiety detecting robotic system towards implicit human–robot collaboration. Robotica 22:85–95

    Article  Google Scholar 

  17. Rani P, Sims J, Brackin R, Sarkan N (2002) Online stress detection using psychophysiological signals for implicit human–robot cooperation. Robotica 20:673–685

    Article  Google Scholar 

  18. Richter LA, Salvendy G (1995) Effects of personality and task strength on performance in computerized tasks. Ergonomics 38(2)

  19. Rofé Y (1984) Stress and affiliation: a utility theory. Psychol Rev 91(2): 235

  20. Ryan RM, Deci EL (2000) Intrinsic and extrinsic motivations: classic definitions and new directions. Contemp Educ Psychol 25(1):54–67

    Article  Google Scholar 

  21. Scheirer J, Fernandez R, Klein J, Picard RW (2002) Frustrating the user on purpose: a step toward building an affective computer. Interact Comput 14(2):93–118

  22. Scherer K (1979) Language and personality. In: Scherer KR, Giles H (eds) Social markers in speech. Cambridge University Press, Cambridge

    Google Scholar 

  23. Schillaci G, Bodiroza S, Hafner VV (2012) Evaluating the effect of saliency detection and attention manipulation in human–robot interaction. Int J Soc Robot 5(1):139–152

    Article  Google Scholar 

  24. Tapus A, Tapus C, Matarić, M (2010) Long term learning and online robot behavior adaptation for individuals with physical and cognitive impairments. In: Field and service robotics: Springer tracts in advanced robotics, 1st ed, vol. 62, pp 389–398

  25. Tapus A, Tapus C, Matarić MJ (2008) User–robot personality matching and robot behavior adaptation for post-stroke rehabilitation therapy, intelligent service robotics. Special issue on multidisciplinary collaboration for socially assistive robotics 1(2):169–183

    Google Scholar 

  26. Yerkes RM, Dodson JD (1908) The relation of strength of stimulus to rapidity of habit-formation. J Comp Neurol Psychol 18(5):459–482

  27. Zoghbi S, Parker C, Croft E, der Loos HFMV (2010) Enhancing collaborative human–robot interaction through physiological-signal based communication. In: Proceedings of Workshop on multimodal human–robot interfaces, 2010 IEEE International Conference on Robotics and Automation (ICRA 2010)

Download references

Acknowledgments

This work was supported by the French National Research Agency (ANR) through Chaire D’Excellence program 2009 (Human–Robot Interaction for Assistive Applications).

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Correspondence to Adriana Tapus.

Appendix

Appendix

1.1 Post-trial Questionnaire

1.1.1 Condition: With Robotic Coach

  1. (1)

    How were the robot’s movement/gestures with respect to your preferences? Few 1 2 3 4 5 6 7 Many

  2. (2)

    How engaging was the interaction? Not at all 1 2 3 4 5 6 7 Very much

  3. (3)

    The robot’s character was: Unsociable 1 2 3 4 5 6 7 Sociable Introverted 1 2 3 4 5 6 7 Extroverted Dangerous 1 2 3 4 5 6 7 Safe Unhelpful 1 2 3 4 5 6 7 Helpful Unstressful 1 2 3 4 5 6 7 Stressful

  4. (4)

    Was the game stressful? Not at all 1 2 3 4 5 6 7 Very much

  5. (5)

    The robot was expressive. Not at all 1 2 3 4 5 6 7 Very much

  6. (6)

    Did you notice any personality traits in the robot? Not at all 1 2 3 4 5 6 7 Many

  7. (7)

    Do you think that the robot is acting independently: Not at all 1 2 3 4 5 6 7 Totally Agree

  8. (8)

    Do you think the robot was having a human-like behavior? Not at all 1 2 3 4 5 6 7 Totally Agree

  9. (9)

    What characteristics made the robot more natural: A. Speech: Not appropriate 1 2 3 4 5 6 7 Very appropriate B. Gestures: Not appropriate 1 2 3 4 5 6 7 Very appropriate

  10. (10)

    Was the robot acting appropriately? Not appropriate 1 2 3 4 5 6 7 Very appropriate

  11. (11)

    Do you think the robot was helpful? Not at all 1 2 3 4 5 6 7 Totally Agree

  12. (12)

    Was the robot stressing you? Not at all 1 2 3 4 5 6 7 Totally Agree

  13. (13)

    Did you need any help to perform better? Not at all 1 2 3 4 5 6 7 Totally Agree

  14. (14)

    Were you stressed during the game? Not at all 1 2 3 4 5 6 7 Totally Agree

1.1.2 Condition: Without Robotic Coach

  1. (1)

    Was the game stressful? Not at all 1 2 3 4 5 6 7 Very much

  2. (2)

    Did you need any help to perform better? Not at all 1 2 3 4 5 6 7 Totally agree

  3. (3)

    Were you stressed during the game? Not at all 1 2 3 4 5 6 7 Totally agree

1.2 Post-experiment Questionnaire

  1. (1)

    Did you prefer the game the robot or without the robot?

  1. (a)

    with the robot

  2. (b)

    without the robot

1.3 Online Questionnaire

https://sites.google.com/site/naospersonalityevaluation/.

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Dang, THH., Tapus, A. Stress Game: The Role of Motivational Robotic Assistance in Reducing User’s Task Stress. Int J of Soc Robotics 7, 227–240 (2015). https://doi.org/10.1007/s12369-014-0256-9

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  • DOI: https://doi.org/10.1007/s12369-014-0256-9

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