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Do We have to Say this is a “Telepresence Robot”? Exploration of Factors of Face and Speech Style Through Telecommunication via Robot

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Social Robotics (ICSR 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14454))

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Abstract

Communication technology has improved and become diverse in terms of content and form of functions, and telepresence robots are one type of such technology. These robots are used in an expanding variety of cases. One example of an expanding application is the ability to enable even individuals with disabilities to work and go outside using telepresence robots equipped with human and synthesized speech capabilities. Therefore, we wanted to explore a general case of telecommunication that uses synthesized speech. We carried out a web-based experiment and conducted a two-way ANOVA (robot face: human face, robot face; speech style: human speech, synthesized speech). We found that participants did not feel a human presence because most of the main effect was found for speech style, and they were not told that the robot was controlled remotely by a human. However, even when anthropomorphism was low, participants were willing to follow recommendations and to engage in trust.

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Notes

  1. 1.

    http://www.rapiro.com/.

  2. 2.

    https://ondoku3.com/ja/.

References

  1. Abdi, E., Tojib, D., Seong, A.K., Pamarthi, Y., Millington-Palmer, G.: A study on the influence of service robots’ level of anthropomorphism on the willingness of users to follow their recommendations. Sci. Rep. 12(1), 15266 (2022). https://doi.org/10.1038/s41598-022-19501-0

    Article  Google Scholar 

  2. Adalgeirsson, S.O., Breazeal, C.: MeBot: a robotic platform for socially embodied presence. In: 5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010, pp. 15–22 (2010). https://doi.org/10.1145/1734454.1734467

  3. Bartneck, C., Kuli, D., Croft, E.: Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots, pp. 71–81 (2009). https://doi.org/10.1007/s12369-008-0001-3

  4. Biocca, F., Nowak, K.: Plugging your body into the telecommunication system: mediated embodiment, media interfaces, and social virtual environments. Commun. Technol. Soc., 407–447 (2001)

    Google Scholar 

  5. Bordbar, F., Salehzadeh, R., Cousin, C., Griffin, D.J., Jalili, N.: Analyzing human-robot trust in police work using a teleoperated communicative robot. In: 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), pp. 919–924 (2021)

    Google Scholar 

  6. Choi, M., Kornfield, R., Takayama, L., Mutlu, B.: Movement matters: effects of motion and mimicry on perception of similarity and closeness in robot-mediated communication, pp. 325–335 (2017)

    Google Scholar 

  7. Christoforakos, L., Gallucci, A., Surmava-Große, T., Ullrich, D., Diefenbach, S.: Can robots earn our trust the same way humans do? A systematic exploration of competence, warmth, and anthropomorphism as determinants of trust development in HRI. Front. Robot. AI 8, 640444 (2021)

    Article  Google Scholar 

  8. Erdfelder, E., FAul, F., Buchner, A., Lang, A.G.: Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav. Res. Methods 41(4), 1149–1160 (2009). https://doi.org/10.3758/BRM.41.4.1149

  9. Eshghi, M., Yunusova, Y., Connaghan, K.P., Perry, B.J., Maffei, M.F., Berry, J.D., Zinman, L., Kalra, S., Korngut, L., Genge, A., Dionne, A., Green, J.R.: Rate of speech decline in individuals with amyotrophic lateral sclerosis. Sci. Rep. 12(1), 15713 (2022)

    Article  Google Scholar 

  10. Fitter, N.T., Joung, Y., Demeter, M., Hu, Z., Matarić, M.J.: Design and evaluation of expressive turn-taking hardware for a telepresence robot. In: 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 1–8 (2019). https://doi.org/10.1109/RO-MAN46459.2019.8956413

  11. Kanetsuna, T., et al.: Interaction in remote peddling using avatar robot by people with disabilities. In: Proceedings of the 10th International Conference on Human-Agent Interaction, HAI ’22, pp. 281–283. Association for Computing Machinery, New York (2022)

    Google Scholar 

  12. Komiak, S., Benbasat, I.: The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quart. 30, 941–960 (2006). https://doi.org/10.2307/25148760

    Article  Google Scholar 

  13. Kwak, S.S., Kim, Y., Kim, E., Shin, C., Cho, K.: What makes people empathize with an emotional robot?: The impact of agency and physical embodiment on human empathy for a robot. In: 2013 IEEE RO-MAN, pp. 180–185 (2013)

    Google Scholar 

  14. Lee, M.K., Takayama, L.: "Now, I Have a Body": uses and social norms for mobile remote presence in the workplace, pp. 33–42 (2011). https://doi.org/10.1145/1978942.1978950’

  15. Lociciro, A., Guillon, A., Bodet-Contentin, L.: A telepresence robot in the room of a COVID-19 patient can provide virtual family presence. Can. J. Anaesth. 68(11), 1705–1706 (2021)

    Article  Google Scholar 

  16. Mollahosseini, A., Abdollahi, H., Sweeny, T.D., Cole, R., Mahoor, M.H.: Role of embodiment and presence in human perception of robots’ facial cues. Int. J. Hum Comput Stud. 116(April), 25–39 (2018). https://doi.org/10.1016/j.ijhcs.2018.04.005

    Article  Google Scholar 

  17. Nakanishi, H., Tanaka, K., Wada, Y.: Remote handshaking: touch enhances video-mediated social telepresence. In: Conference on Human Factors in Computing Systems - Proceedings, pp. 2143–2152 (2014)

    Google Scholar 

  18. Natarajan, M., Gombolay, M.: Effects of anthropomorphism and accountability on trust in human robot interaction. In: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI ’20, pp. 33–42. Association for Computing Machinery, New York (2020)

    Google Scholar 

  19. Neustaedter, C., Venolia, G., Procyk, J., Hawkins, D.: To beam or not to beam: a study of remote telepresence attendance at an academic conference. In: CSCW ’16, pp. 418–431. Association for Computing Machinery, New York (2016). https://doi.org/10.1145/2818048.2819922

  20. Rae, I., Mutlu, B., Takayama, L.: Bodies in motion. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems - CHI ’14, pp. 2153–2162. ACM Press, New York (2014). https://doi.org/10.1145/2556288.2557047

  21. Rae, I., Takayama, L., Mutlu, B.: In-body experiences: embodiment, control, and trust in robot-mediated communication. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’13, pp. 1921–1930. Association for Computing Machinery, New York (2013). https://doi.org/10.1145/2470654.2466253

  22. Schouten, A.P., Portegies, T.C., Withuis, I., Willemsen, L.M., Mazerant-Dubois, K.: Robomorphism: examining the effects of telepresence robots on between-student cooperation. Comput. Hum. Behav. 126, 106980 (2022). https://doi.org/10.1016/j.chb.2021.106980, https://www.sciencedirect.com/science/article/pii/S0747563221003034

  23. Seo, S.H., Geiskkovitch, D., Nakane, M., King, C., Young, J.E.: Poor thing! would you feel sorry for a simulated robot? a comparison of empathy toward a physical and a simulated robot. In: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI ’15, pp. 125–132. Association for Computing Machinery, New York (2015)

    Google Scholar 

  24. Takeuchi, K., Yamazaki, Y., Yoshifuji, K.: Avatar work: Telework for disabled people unable to go outside by using avatar robots. In: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, pp. 53–60 (2020). https://doi.org/10.1145/3371382.3380737

  25. Ullman, D., Malle, B.F.: MDMT: multi-dimensional measure of trust. https://research.clps.brown.edu/SocCogSci/Measures/MDMT_v2.pdf. Accessed 27 Mar 2023

  26. Woods, S.N., Walters, M.L., Koay, K.L., Dautenhahn, K.: Methodological issues in HRI: a comparison of live and video-based methods in robot to human approach direction trials. In: Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, pp. 51–58 (2006). https://doi.org/10.1109/ROMAN.2006.314394

  27. Yamazaki, Y., et al.: Meta avatar robot Cafe: linking physical and virtual cybernetic avatars to provide physical augmentation for people with disabilities. In: ACM SIGGRAPH 2022 Emerging Technologies, No. Article 6 in SIGGRAPH ’22, pp. 1–2. Association for Computing Machinery, New York (2022)

    Google Scholar 

  28. Yang, L., Neustaedter, C.: Our house: living long distance with a telepresence robot. Proc. ACM Hum.-Comput. Interact. 2(CSCW), 1–18 (2018)

    Google Scholar 

  29. Yonezu, S., Osawa, H.: Telepresence robot with behavior synchrony: Merging the emotions and behaviors of users. In: RO-MAN 2017–26th IEEE International Symposium on Robot and Human Interactive Communication 2017-January, pp. 213–218 (2017). https://doi.org/10.1109/ROMAN.2017.8172304

  30. Yun, N., Yamada, S.: Physical embodiment vs. smartphone: which influences presence and anthropomorphism most in telecommunication? In: 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 1065–1070 (2022)

    Google Scholar 

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Author information

Authors and Affiliations

  1. The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan

    Nungduk Yun & Seiji Yamada

  2. National Institute of Informatics, Tokyo, Japan

    Nungduk Yun & Seiji Yamada

Authors
  1. Nungduk Yun
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  2. Seiji Yamada
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Corresponding author

Correspondence to Nungduk Yun .

Editor information

Editors and Affiliations

  1. Qatar University, Doha, Qatar

    Abdulaziz Al Ali

  2. Qatar University, Doha, Qatar

    John-John Cabibihan

  3. Qatar University, Doha, Qatar

    Nader Meskin

  4. University of Naples Federico II, Napoli, Italy

    Silvia Rossi

  5. Qingdao University, Qingdao, China

    Wanyue Jiang

  6. The University of Alabama, Tuscaloosa, AL, USA

    Hongsheng He

  7. National University of Singapore, Queenstown, Singapore

    Shuzhi Sam Ge

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Yun, N., Yamada, S. (2024). Do We have to Say this is a “Telepresence Robot”? Exploration of Factors of Face and Speech Style Through Telecommunication via Robot. In: Ali, A.A., et al. Social Robotics. ICSR 2023. Lecture Notes in Computer Science(), vol 14454. Springer, Singapore. https://doi.org/10.1007/978-981-99-8718-4_19

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  • DOI: https://doi.org/10.1007/978-981-99-8718-4_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-8717-7

  • Online ISBN: 978-981-99-8718-4

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