Abstract
Service robots have been traditionally classified by technology and labor type. However, service robots communicate with human employees and consumers to collaborate and deliver service on the frontline. The purpose of this research was to propose a framework for classifying service robots used in commercial places based on the communication that is essential for collaboration and service delivery. The framework classifies service robots into six types, with the x-axis representing the level of communication and the y-axis representing the labor method that service robots use to provide services. Through the framework, the study explained 1) how the service robot and the employee communicate when they collaborate and 2) how the service robot and consumer communicate by communication levels. In addition, it identified the design elements needed for each section of the framework. This will help robot developers and designers consider design elements at different levels of communication when designing service robots in commercial places to enhance the experience of collaboration and service delivery. It is expected that communication will be considered important when developing service robots using the classification of service robots based on the framework proposed in this paper.
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Reference s
Karabegović, I.: Classification of service robots. In: Karabegović, I. (ed.) Service Robots: Advances in Research and Applications, pp. 1–11. Nova Science, New York (2021)
MaLeay, F., Osburg, V.S., Yoganathan, V., Patterson, A.: Replaced by a robot: service implications in the age of the machine. J. Ser. Res. 24(1), 104–121 (2021)
Wirtz, J., et al.: Brand new world: service robots in the frontline. J. Ser. Man. 29(5), 907–931 (2018)
Kim, Y.S.: The effect of customer orientation of service robots on perceived trust and expectation of hospitality experience. Int. J. Tou. Hos. Res. 36(3), 157–173 (2022)
Fong, T., et al.: A preliminary study of peer-to-peer human-robot interaction. In: 2006 IEEE International Conference on System, Man, and Cybernetics, Taipei, Taiwan, 8–11 October 2006 (2006)
Marble, J., Bruemmer, D., Few, D.A., Dudenhoeffer, D.D.: Evaluation of supervisory vs. peer-peer interaction with human robot teams. In: 37th Hawaii International Conference on System Sciences, Big Island, HI, USA, 26 February 2004 (2004)
Palunch, S., Tuzovic, S., Holz, H.F., Kies, A., Jorling, M.: “My colleague is a robot” - exploring frontline employees’ willingness to work with collaborative service robots. J. Ser. Man. 33(2), 363–388 (2022)
Kaupp, T., Makarenko, A., Durrant-Whyte, H.: Human robot communication for collaborative decision making a probabilistic approach. Rob. Auto. Sys. 58(5), 444–456 (2010)
Huang, C., Mutlu, B.: Robot behavior toolkit: generating effective social behavior for robots. In: 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Boston, MA, USA, 30 July 2012 (2012)
Andriella, A., et al.: Do i have a personality? endowing care robots with context-dependent personality traits. Int. J. Soc. Rob. 13(8), 2081–2102 (2021)
Choi, S., Liu, S., Choi, C.: Robot–brand fit the influence of brand personality on consumer reactions to service robot adoption. Mar. Let. 33(1), 129–142 (2022)
Kim, N.Y., Lee, C., Hong, H., Yun, J.: A study on personas of artificial intelligence speakers. J. Com. Des. 75, 242–253 (2021)
Dowling, G.R.: Measuring corporate image: a review of alternative approaches. J. Bus. Res. 17(1), 27–34 (1988)
Powell, J.: Why Am I Afraid To Tell You Who I Am? Argus Communications, Chicago (1969)
LG: CLOi ServeBot (Shelf Type) (2023). https://www.lg.com/global/business/cloi/lg-cloi-servebot-shelf. Accessed 24 Oct 2023
PUDU: BettaBot (2023). https://www.pudurobotics.com/products/bellabot. Accessed 24 Oct 2023
New York Post: Robots ready to greet Japanese coronavirus patients in hotels. https://nypost.com/2020/05/01/robots-on-hand-to-greet-japanese-coronavirus-patients-in-hotels/ (2020). Accessed 24 Oct 2023
Robotics Business Review: Pepper Heads to Beverly Hills for Latest Assignment (2019). https://www.roboticsbusinessreview.com/retail-hospitality/pepper-heads-to-beverly-hills-for-latest-assignment/. Accessed 24 Oct 2023
Park, D., Pan, Y.: The proposal of the personality and behavioral design of the Robot Persona according to the role and use context of the Robot. J. Dig. Cont. Soc. 22(11), 1843–1853 (2021)
Lee, E., Lee, J.: Expected face design, personalities and emotional images according to the role of social robot. J. Kor. Des. For. 25(4), 37–48 (2020)
Buczynski, J., Nass, C., Brave, S.: Wired for speech: how voice activates and advances the human-computer relationship. Libr. J. 130(15), 88 (2005)
So, H.S., Kim, M.S., Oh, K.M.: People’s perceptions of a personal service robot’s personality and a personal service robot’s personality design guide suggestions. In: The 17th IEEE International Symposium on Robot and Human Interactive Communication, Munich, Germany, 15 August 2008 (2008)
Keller, K.L.: Brand synthesis: the multidimensionality of brand knowledge. J. Con. Res. 4, 595–600 (2003)
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This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2023S1A5A2A03084950).
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Park, K., Jung, EC. (2024). Classifying Service Robots in Commercial Places Based on Communication: Design Elements by Level of Communication. In: Choi, B.J., Singh, D., Tiwary, U.S., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2023. Lecture Notes in Computer Science, vol 14531. Springer, Cham. https://doi.org/10.1007/978-3-031-53827-8_25
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