skip to main content
10.1145/3284432.3284449acmconferencesArticle/Chapter ViewAbstractPublication PageshaiConference Proceedingsconference-collections
research-article

Analyses of Textile Pressure-map Sensor Data of a Stuffed Toy for Understanding Human Emotional Physical Contact

Published:04 December 2018Publication History

ABSTRACT

In this study, we investigate a stuffed-toy robot capable of estimating a user's emotional state via physical contact; the research is oriented toward the development of bidirectional human-robot communications. Textile-type pressure-map sensors are embedded in the robot's head and back, to facilitate detection of the location and strength of various touches via time-sequence data. Based on the recognition of such touching patterns as stroking, patting, and hugging, we conducted a verification of the estimation of the user's emotions using extracted features, such as strength and duration. The results indicate that emotional arousal was reflected by the number and strength of the touches, while the emotional valence emerged through the factor related to the context of the interaction. Our study thereby represents a possibility of understanding the user via physical contact.

References

  1. uvilehto, J. T., Glerean, E., Dunbar, R. I., Hari, R., & Nummenmaa, L. (2015). Topography of social touching depends on emotional bonds between humans. Proceedings of the National Academy of Sciences, 112(45), 13811--13816.Google ScholarGoogle ScholarCross RefCross Ref
  2. geland, B., & Farber, E. A. (1984). Infant-mother attachment: Factors related to its development and changes over time. Child development, 753--771.Google ScholarGoogle Scholar
  3. ield, T. M. (1998). Massage therapy effects. American Psychologist, 53(12), 1270.Google ScholarGoogle ScholarCross RefCross Ref
  4. argas M, (1986) Louder Than Words: An Introduction to Nonverbal Communication. Iowa State Press.Google ScholarGoogle Scholar
  5. hayer, S (1982) Social touching. Tactual perception: A sourcebook, 263--304. Schiff W, Foulke E (eds) Cambridge University PressGoogle ScholarGoogle Scholar
  6. ayer, S. (1986) History and strategies of research on social touch. Journal of Nonverbal Behavior Volume 10, Issue 1, pp. 12--28.Google ScholarGoogle ScholarCross RefCross Ref
  7. chiff, W., & Foulke, E. (Eds.). (1982). Tactual perception: a sourcebook. Cambridge University Press.Google ScholarGoogle Scholar
  8. ark Paterson. (2007) The Senses of Touch: Haptics, Affects and Technologies. Berg Publishers.Google ScholarGoogle Scholar
  9. ertenstein, M. J., Keltner, D., App, B., Bulleit, B. A., & Jaskolka, A. R. (2006). Touch communicates distinct emotions. Emotion, 6(3), 528.Google ScholarGoogle ScholarCross RefCross Ref
  10. ubbard, G., Cook, A., Tester, S., & Downs, M. (2002). Beyond words: Older people with dementia using and interpreting nonverbal behaviour. Journal of Aging Studies, 16(2), 155--167.Google ScholarGoogle ScholarCross RefCross Ref
  11. ineste, Y. and Pellissier, J. (2007). Humanitude: Comprendre la vieillesse, prendre soin des Hommes vieux (think old age, caregiving for old men), Armand Colin. (in French)Google ScholarGoogle Scholar
  12. eil, N. (1992). Validation therapy. Geriatr. Nurs. 13(3), pp. 129--133.Google ScholarGoogle ScholarCross RefCross Ref
  13. onezawa, T. and Yamazoe, H. (2017). Haptic interaction design for physical contact between a wearable robot and the user. DHM 2017 in HCII 2017, pp.476--490.Google ScholarGoogle Scholar
  14. olt-Lunstad, J., Birmingham, W. A., & Light, K. C. (2008). Influence of a “warm touch” support enhancement intervention among married couples on ambulatory blood pressure, oxytocin, alpha amylase, and cortisol. Psychosomatic medicine, 70(9), 976--985.Google ScholarGoogle Scholar
  15. ada, K., & Shibata, T. (2007). Living with seal robots-its sociopsychological and physiological influences on the elderly at a care house. IEEE Transactions on Robotics, 23(5), 972--980. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. rgall, B. D., & Billard, A. G. (2010). A survey of tactile human-robot interactions. Robotics and autonomous systems, 58(10), 1159--1176. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. itsunaga, N., Miyashita, T., Ishiguro, H., Kogure, K., & Hagita, N. (2006). Robovie-IV: A Communication Robot Interacting with People Daily in an Office. in Proc. IROS'06. 5066--5072.Google ScholarGoogle Scholar
  18. aya, F., Yamato, J., & Shinozawa, K. (1999). Recognizing human touching behaviors using a haptic interface for a pet-robot. In Systems, Man, and Cybernetics (SMC) Conference Proceedings. Vol. 2, pp. 1030--1034.Google ScholarGoogle Scholar
  19. ilvera Tawil, D., Rye, D., & Velonaki, M. (2012). Interpretation of the modality of touch on an artificial arm covered with an EIT-based sensitive skin. The International Journal of Robotics Research, 31(13), 1627--1641. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. ang, P. J., Bradley, M. M., and Cuthbert, B. N. (1999). International affective picture system (IAPS): Technical manual and affective ratings. Gainesville, FL: The Center for Research in Psychophysiology, University of Florida, 2.Google ScholarGoogle Scholar
  21. . Russell. (1980). A circumplex model of affect. Journal of Personality and Social Psychology. 39: 1161--1178.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Analyses of Textile Pressure-map Sensor Data of a Stuffed Toy for Understanding Human Emotional Physical Contact

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          HAI '18: Proceedings of the 6th International Conference on Human-Agent Interaction
          December 2018
          402 pages
          ISBN:9781450359535
          DOI:10.1145/3284432

          Copyright © 2018 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 4 December 2018

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          HAI '18 Paper Acceptance Rate40of92submissions,43%Overall Acceptance Rate121of404submissions,30%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader