Abstract
As robotic systems move out of the factory, it is essential that they adapt to changing environments. Distinct contextual settings may cause users to have a different perception of these systems. This paper explores the relationship between context and expression by looking at various combinations of robot characters and environments in a virtual setting. The robots are designed after characters from pop-culture. Physical traits such as color, eye shape, and motion profiles are abstractly analyzed and infused onto the robot. Six different robot characters and six different environments are used to see if individuals perceive each robot differently in varying environments. Additionally, the effect of character-specific priming as a context generator is also surveyed. It is found that the character with an affect label with positive valence was rated more favorably than characters with negative valence affect labels in positive valence environments and vice versa is true for environments with negative valence associated. Qualitative feedback from participants provides a meaningful description for each rating choice. This study shows the importance of contextual realizations while designing robotic systems that can be considered in future work looking at user perception.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bianchini, S., Levillain, F., Menicacci, A., Quinz, E., Zibetti, E.: Towards behavioral objects: a twofold approach for a system of notation to design and implement behaviors in non-anthropomorphic robotic artifacts. In: Laumond, J.-P., Abe, N. (eds.) Dance Notations and Robot Motion. STAR, vol. 111, pp. 1–24. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-25739-6_1
Burton, S.J., Samadani, A.-A., Gorbet, R., Kulić, D.: Laban movement analysis and affective movement generation for robots and other near-living creatures. In: Laumond, J.-P., Abe, N. (eds.) Dance Notations and Robot Motion. STAR, vol. 111, pp. 25–48. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-25739-6_2
Darling, K., Nandy, P., Breazeal, C.: Empathic concern and the effect of stories in human-robot interaction. In: 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 770–775. IEEE (2015)
Etemad, S.A., Arya, A.: Expert-driven perceptual features for modeling style and affect in human motion. IEEE Trans. Hum.-Mach. Syst. 46(4), 534–545 (2016)
Forlizzi, J., DiSalvo, C.: Service robots in the domestic environment: a study of the roomba vacuum in the home. In: Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, pp. 258–265. ACM (2006)
Gemeinboeck, P., Saunders, R.: Towards socializing non-anthropomorphic robots by harnessing dancers’ kinesthetic awareness. In: Koh, J.T.K.V., Dunstan, B.J., Silvera-Tawil, D., Velonaki, M. (eds.) CR 2015. LNCS (LNAI), vol. 9549, pp. 85–97. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42945-8_8
Heimerdinger, M., LaViers, A.: Modeling the interactions of context and style on affect in motion perception: stylized gaits across multiple environmental contexts. Int. J. Soc. Robot. (SORO) 11(3), 495–513 (2019)
Knight, H., Simmons, R.: Expressive motion with x, y and theta: laban effort features for mobile robots. In: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp. 267–273. IEEE (2014)
Knight, H., Simmons, R.: Laban head-motions convey robot state: a call for robot body language. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 2881–2888. IEEE (2016)
Kurdi, B., Lozano, S., Banaji, M.R.: Introducing the open affective standardized image set (OASIS). Behav. Res. Methods 49(2), 457–470 (2017)
Manyika, J., et al.: A future that works: automation, employment and productivity. McKinsey Global Institute, January 2017
Mehrabian, A.: Pleasure-arousal-dominance: a general framework for describing and measuring individual differences in temperament. Curr. Psychol. 14(4), 261–292 (1996)
Pakrasi, I., Chakraborty, N., LaViers, A.: A design methodology for abstracting character archetypes onto robotic systems. In: Proceedings of the 5th International Conference on Movement and Computing, p. 24. ACM (2018)
Rizvi, W., Pakrasi, I., LaViers, A.: Movement design of virtual aerial robots with distinct affective labels. In: 6th International Conference on Movement and Computing (Extended Abstract). ACM (2019, to appear)
Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161–1178 (1980)
Sharma, M., Hildebrandt, D., Newman, G., Young, J.E., Eskicioglu, R.: Communicating affect via flight path: exploring use of the laban effort system for designing affective locomotion paths. In: Proceedings of the 8th ACM/IEEE International Conference on Human-Robot Interaction, pp. 293–300. IEEE Press (2013)
Pixar Animation Studios: Inside out. Technical report, Disney (2015). https://www.pixar.com/feature-films/inside-out
Zhou, A., Dragan, A.D.: Cost functions for robot motion style. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3632–3639. IEEE (2018)
Acknowledgement
This work was conducted under IRB #17427 and funded by NSF grant #1528036.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Rizvi, W., Pakrasi, I., LaViers, A. (2019). Influence of Variable Environments and Character-Specific Design on Perception of Virtual Robots with Affective Labels. In: Salichs, M., et al. Social Robotics. ICSR 2019. Lecture Notes in Computer Science(), vol 11876. Springer, Cham. https://doi.org/10.1007/978-3-030-35888-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-35888-4_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-35887-7
Online ISBN: 978-3-030-35888-4
eBook Packages: Computer ScienceComputer Science (R0)