อิทธิพลของความคล้ายคลึงเชิงรูปลักษณ์และการรับรู้การควบคุมได้ ที่มีผลต่อการรับรู้ความเหมือนมนุษย์ ความเชื่อใจ และการยอมรับต่อหุ่นยนต์ EFFECTS OF PERCEIVED PHYSICAL APPEARANCE SIMILARITY AND CONTROLLABILITY ON PERCEIVED ANTHROPOMORPHISM, TRUST, AND ACCEPTANCE TOWARDS ROBOTS

Authors

  • กฤตภัค วรเมธพาสุข แขนงวิชาจิตวิทยาสังคม คณะจิตวิทยา จุฬาลงกรณ์มหาวิทยาลัย
  • หยกฟ้า อิศรานนท์ คณะจิตวิทยา จุฬาลงกรณ์มหาวิทยาลัย

Keywords:

S-E-E-K Theory, Physical Appearance Similarity, Controllability, Anthropomorphism, Trust, Acceptance, Robots

Abstract

This research aimed to investigate the effect of perceived anthropomorphism toward trust and acceptance in robots based on S-E-E-K theory; physical                              appearance similarity as independent variable, perceived of controllability as moderator and social motivation as controlled variable. Sample of 200 undergraduate and postgraduate students, aged between 18-25 years old were systematic and simple randomly assigned to one out of four conditions which were manipulated by a picture and a short description of the robot. The robots of each condition were designed to have different appearance (humanlike and not humanlike) and also behavior (predicted/controlled and not predicted/controlled). Afterward, participants completed the perceived anthropomorphism, trust in robot, acceptance in robot questionnaires. Results from Paths analysis showed that physical appearance similarity had relationship with a statistically significant on anthropomorphism. The effect of physical appearance similarity increased in the condition of unpredicted and uncontrollable robot. Furthermore, robot with highly humanlike appearance with unpredicted and uncontrolled behavior had the effect on participants’ feeling and it also increased trust and acceptance toward robots

Downloads

Download data is not yet available.

Author Biography

กฤตภัค วรเมธพาสุข, แขนงวิชาจิตวิทยาสังคม คณะจิตวิทยา จุฬาลงกรณ์มหาวิทยาลัย

ฝ่ายสำนักพิมพ์

References

[1] Kanda, T., Miyashita, T., Osada, T., Haikawa, Y., & Ishiguro, H. (2008). Analysis of humanoid appearances in human–robot interaction. IEEE Transactions on Robotics, 24(3), 725-735.
[2] De Ruyter, B., Saini, P., Markopoulos, P., & Van Breemen, A. (2005). Assessing the effects of building social intelligence in a robotic interface for the home. Interacting with computers, 17(5), 522-541.
[3] Tung, F.W. (2016). Child perception of humanoid robot appearance and behavior. International Journal of Human-Computer Interaction, 32(6), 493-502.
[4] Rotter, J.B. (1980). Interpersonal trust, trustworthiness, and gullibility. American Psychologist, 35, 1-7.
[5] Park, E., Jenkins, Q., & Jiang, X. (2008). Measuring trust of human operators in new generation rescue robots. In Proceedings of the JFPS International Symposium on Fluid power, V. 2008. No. 7-2. pp. 489-492. The Japan Fluid Power System Society.
[6] Piçarra, N., & Giger, J.C. (2018). Predicting intention to work with social robots at anticipation stage: Assessing the role of behavioral desire and anticipated emotions. Computers in Human Behavior, 86, 129-146.
[7] Waytz, A., Heafner, J., & Epley, N. (2014). The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle. Journal of Experimental Social Psychology, 52, 113-117.
[8] PwC. (2017, June). What doctor? Why AI and robotics will define New Health. Retrieved from https://www.pwc.com/gx/en/industries/healthcare/publications/ai-robotics-new-health/ai-robotics-new-health.pdf
[9] Choi, J. G., & Kim, M. (2009). The usage and evaluation of anthropomorphic form in robot design. In Design Research Society Conference 2008, Sheffield Hallam University, Sheffield, UK., 16-19 July 2008.
[10] Hancock, P.A., Billings, D.R., Schaefer, K.E., Chen, J.Y., De Visser, E.J., & Parasuraman, R. (2011). A meta-analysis of factors affecting trust in human-robot interaction. Human factors, 53(5), 517-527.
[11] Gessl, A.S., Schlögl, S., & Mevenkamp, N. (2019). On the perceptions and acceptance of artificially intelligent robotics and the psychology of the future elderly. Behaviour & Information Technology, 38(11), 1068-1087.
[12] Epley, N., Waytz, A., & Cacioppo, J.T. (2007). On seeing human: a three-factor theory of anthropomorphism. Psychological review, 114(4), 864-886.
[13] Epley, N., Waytz, A., Akalis, S., & Cacioppo, J.T. (2008). When we need a human: Motivational determinants of anthropomorphism. Social cognition, 26(2), 143-155.
[14] Waytz, A., Morewedge, C.K., Epley, N., Monteleone, G., Gao, J.H.; and Cacioppo, J.T. (2010). Making sense by making sentient: effectance motivation increases anthropomorphism. Journal of personality and social psychology, 99(3), 410-435.
[15] Mori, M. (1970). The uncanny valley. Energy, 7(4), 33-35.
[16] Erikson, E.H. (1968). Identity, youth, and crisis. New York: Norton.
[17] Dillon, A., & Morris, M.G., (1996). User Acceptance of New Information Technology: Theories and Models. In Annual Review of Information Science and Technology. Medford, NJ: Information Today.
[18] Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
[19] Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
[20] Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
[21] Schroer, W.J. (2008). Generations X, Y, Z and the others. The Journal of the Household Goods Forwarders Association of America, 40, 9-11.
[22] Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis: A global perspective. NJ: Pearson Prentice Hall.
[23] Hays, R.D., & DiMatteo, M.R. (1987). A short-form measure of loneliness. Journal of personality Assessment, 51(1), 69-81.
[24] Russell, D., Peplau, L.A., & Cutrona, C.E. (1980). The revised UCLA Loneliness Scale: concurrent and discriminant validity evidence. Journal of personality and social psychology, 39(3), 472-480.
[25] Jian, J.Y., Bisantz, A.M., & Drury, C.G. (2000). Foundations for an empirically determined scale of trust in automated systems. International Journal of Cognitive Ergonomics, 4(1), 53-71.
[26] Nomura, T., Kanda, T., & Suzuki, T. (2006). Experimental investigation into influence of negative attitudes toward robots on human–robot interaction. Ai & Society, 20(2), 138-150.
[27] Gong, L. (2008). How social is social responses to computers? The function of the degree of anthropomorphism in computer representations. Computers in Human Behavior, 24(4), 1494-1509.
[28] Dawes, R.M., & Mulford, M. (1996). The false consensus effect and overconfidence: Flaws in judgment or flaws in how we study judgment?. Organizational Behavior and Human Decision Processes, 65(3), 201-211.
[29] Rotter, J.B. (1967). A new scale for the measurement of interpersonal trust. Journal of Personality, 35, 651-665.

Downloads

Published

2021-07-06

How to Cite

วรเมธพาสุข ก. ., & อิศรานนท์ ห. . (2021). อิทธิพลของความคล้ายคลึงเชิงรูปลักษณ์และการรับรู้การควบคุมได้ ที่มีผลต่อการรับรู้ความเหมือนมนุษย์ ความเชื่อใจ และการยอมรับต่อหุ่นยนต์ EFFECTS OF PERCEIVED PHYSICAL APPEARANCE SIMILARITY AND CONTROLLABILITY ON PERCEIVED ANTHROPOMORPHISM, TRUST, AND ACCEPTANCE TOWARDS ROBOTS. Srinakharinwirot Research and Development Journal of Humanities and Social Sciences, 12(24, July-December), 1–14. retrieved from https://so04.tci-thaijo.org/index.php/swurd/article/view/252808

Issue

Vol. 12 No. 24, July-December (2020): Srinakharinwirot Research and Development (Journal of Humanities and Social Sciences)

Section

บทความวิจัย

License

Srinakharinwirot Research and Development Journal of Humanities and Social Sciences is licensed Under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC-BY-NC-ND 4.0) License, Unless Otherwise Stated. Please Read Journal Policies Page for More Information on Open Access, Copyright and Permissions.