Abstract
Social robots, when used for information providing, are able to affect humans’ trustworthiness and willingness to interact with them. In this work, we conducted an experimental study aimed at observing if the users’ acceptance of recommendations, as well as their engagement in the interaction, is elicited when using a humanoid robot with respect to a common application on a mobile phone. We conducted an experimental study on movie recommendation where the two interfaces provide the same contents, but through different communication channels. In detail, the robot will attend to the participants in a socially contingent fashion, signaled via head and gaze orientation, speech, eye color and gestures related to the genre of the recommended movie, and the app will provide textual and graphical movie presentation. Results show that while the users perceive the interaction with the mobile application more natural, the social robot is able to enhance the users’ satisfaction and provides a good and stable acceptance rate also when facing participants with various degrees of English proficiency.
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
Notes
- 1.
http://www.omdbapi.com - The Open Movie Database is a free web service to obtain movie information.
References
Alemi, M., Meghdari, A., Ghazisaedy, M.: The impact of social robotics on L2 learners’ anxiety and attitude in english vocabulary acquisition. Int. J. Social Robot. 7(4), 523–535 (2015)
Bainbridge, W., Hart, J., Kim, E., Scassellati, B.: The effect of presence on human-robot interaction. In: The 17th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 701–706, August 2008
Boone, R.T., Buck, R.: Emotional expressivity and trustworthiness: the role of nonverbal behavior in the evolution of cooperation. In: Lib., A.R. (ed.) J. of Nonverbal Behavior (2003)
Bruce, A., Nourbakhsh, I.R., Simmons, R.G.: The role of expressiveness and attention in human-robot interaction. In: ICRA, pp. 4138–4142. IEEE (2002)
Caccavale, R., Leone, E., Lucignano, L., Rossi, S., Staffa, M., Finzi, A.: Attentional regulations in a situated human-robot dialogue. In: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp. 844–849, August 2014
Cervone, F., Sica, V., Staffa, M., Tamburro, A., Rossi, S.: Comparing a social robot and a mobile application for movie recommendation: a pilot study. In: Proceedings of the 16th Workshop from Objects to Agents, pp. 32–38. CEUR Workshop Proceedings (2015)
Crumpton, J., Bethel, C.L.: Validation of vocal prosody modifications to communicate emotion in robot speech. In: 2015 International Conference on Collaboration Technologies and Systems (CTS), pp. 39–46, June 2015
Kidd, C., Breazeal, C.: Effect of a robot on user perceptions. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 4, pp. 3559–3564 (2004)
Konstan, J.A., Riedl, J.: Recommender systems: from algorithms to user experience. User Model. User-Adap. Inter. 22(1), 101–123 (2014)
de Melo, C.M., Zheng, L., Gratch, J.: Expression of moral emotions in cooperating agents. In: Proceedings of the 9th International Conference on Intelligent Virtual Agents (IVA) (2009)
Merritt, S.M., Ilgen, D.R.: Not all trust is created equal: dispositional and history-based trust in human-automation interactions. Hum. Factors 50(2), 194–210 (2008)
Movellan, J., Eckhardt, M., Virnes, M., Rodriguez, A.: Sociable Robot Improves Toddler Vocabulary Skills. IEEE, La Jolla, CA (2009)
Murphy-Hill, E., Murphy, G.: Recommendation delivery. In: Robillard, M.P., Maalej, W., Walker, R.J., Zimmermann, T. (eds.) Recommendation Systems in Software Engineering, pp. 223–242. Springer, Heidelberg (2014)
Rossi, S., Staffa, M., Giordano, M., De Gregorio, M., Rossi, A., Tamburro, A., Vellucci, C.: Robot head movements and human effort in the evaluation of tracking performance. In: 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 791–796 (2015)
Rossi, S., Cervone, F.: Social utilities and personality traits for group recommendation: a pilot user study. In: Proceedings of the 8th International Conference on Agents and Artificial Intelligence, pp. 38–46 (2016)
Shiomi, M., Shinozawa, K., Nakagawa, Y., Miyashita, T., Sakamoto, T., Terakubo, T., Ishiguro, H., Hagita, N.: Recommendation effects of a social robot for advertisement-use context in a shopping mall. Int. J. Soc. Robot. 5(2), 251–262 (2013)
Wang, Y.D., Emurian, H.H.: An overview of online trust: Concepts, elements, and implications. Comput. Hum. Behav. 21(1), 105–125 (2005)
Yoo, K.H., Gretzel, U.: Creating more credible and persuasive recommender systems: the influence of source characteristics on recommender system evaluations. In: Recommender Systems Handbook, pp. 455–477. Springer, US (2011)
Acknowledgment
This work has been partially funded by the European Commission’s as part of the RoDyMan project under grant 320992 and supported by the Italian National Project “Security for Smart Cities” PON-FSE Campania 2014-20. Authors thank Francesco Cervone, Anna Tamburro and Valentina Sica for their contribution in code development and testing.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Staffa, M., Rossi, S. (2016). Recommender Interfaces: The More Human-Like, the More Humans Like. In: Agah, A., Cabibihan, JJ., Howard, A., Salichs, M., He, H. (eds) Social Robotics. ICSR 2016. Lecture Notes in Computer Science(), vol 9979. Springer, Cham. https://doi.org/10.1007/978-3-319-47437-3_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-47437-3_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47436-6
Online ISBN: 978-3-319-47437-3
eBook Packages: Computer ScienceComputer Science (R0)