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Receptionist or information kiosk: how do people talk with a robot?

Published: 06 February 2010 Publication History

Abstract

The mental structures that people apply towards other people have been shown to influence the way people cooperate with others. These mental structures or schemas evoke behavioral scripts. In this paper, we explore two different scripts, receptionist and information kiosk, that we propose channeled visitors' interactions with an interactive robot. We analyzed visitors' typed verbal responses to a receptionist robot in a university building. Half of the visitors greeted the robot (e.g., "hello") prior to interacting with it. Greeting the robot significantly predicted a more social script: more relational conversational strategies such as sociable interaction and politeness, attention to the robot's narrated stories, self-disclosure, and less negative/rude behaviors. The findings suggest people's first words in interaction can predict their schematic orientation to an agent, making it possible to design agents that adapt to individuals during interaction. We propose designs for interactive computational agents that can elicit people's cooperation.

References

[1]
Abelson., R. P. (1981). Psychological status of the script concept. American Psychologist, 36, 7, 715--729.
[2]
Aine, http://neodave.civ.pl/aine/
[3]
Bell, A. (1984). Language style as audience design. Language in Society, 13, 145--204.
[4]
Bickmore, T. & Cassell, J. (2001). Relational agents: a model and implementation of building user trust. Proceedings of CHI'01, 396--403.
[5]
Bickmore, T., Pfeifer, L., Schulman, D., Perera, S., Senanayake, C. & Nazmi, I. (2008). Public displays of affect: Deploying relational agents in public spaces. Proceedings of CHI'08, Work-In-Progress, 3297--3302.
[6]
Brown, P., & Levinson, S.C. (1987). Politeness: some universals in language usage. Cambridge University Press.
[7]
Burgard, W., Cremers, A.B., Fox, D., Hähnel, D., Lakemeyer, G., Schulz, D., Steiner, W., & Thrun, S. (1999). Experiences with an interactive museum tour-guide robot. Artificial Intelligence, 114, 3--55.
[8]
Cepstral. http://cepstral.com/
[9]
Cesario, J., Grant, H. & Higgins, E. T. (2004). Regulatory fit and persuasion: Transfer from "feeling right." Journal of Personality and Social Psychology, 86, 388--404.
[10]
Clark, H. & Brennan, S. (1991). Grounding in communication. Perspectives on socially shared cognition, 127--149.
[11]
Dillenbourgh, P., Jermann, P., Schneider, D., Traum, D., & Buiu, C. (1997). The design of MOO agents: Implications from an empirical CSCW study. Artificial Intelligence in Education. IOS Press.
[12]
Enembreck, F., & Barthes, J. P. (2002). Personal assistant to improve CSCW. Proceedings of CSCW in Design, 329--335.
[13]
Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114(4), 864--886.
[14]
Fischer, K. (2007). The Role of Users' Concepts of the Robot in Human-Robot Spatial Instruction. Lecture Notes In Computer Science, 4387, 76--89.
[15]
Fischer, K. (2006). The Role of Users' Preconceptions in Talking to Computers and Robots. Proceedings of the Workshop on How People Talk to Computers, Robots, and other Artificial Communication Partners, 112--130.
[16]
Fogarty, J., Hudson, S. E., Atkeson, C. G., Avrahami, D., Forlizzi, J., Kiesler, S., Lee, J. C., & Yang, J. (2005). Predicting human interruptibility with sensors. ACM Transactions on Computer-Human Interaction (TOCHI), 12, 119--146.
[17]
Fong, T., Nourbakhsh, I., & Dautenhahn, K. (2003). A survey of socially interactive robots. Robotics and Autonomous Systems, 42, 143--166.
[18]
Friedman, B., Kahn, P.J., & Hagman, J. (2003). Hardware companions?: What online AIBO discussion forums reveal about the human-robotic relationship. Proceedings of CHI'03, 273--280.
[19]
Goetz, J., Kiesler, S., & Powers, A. (2003). Matching robot appearance and behavior to tasks to improve human-robot cooperation. Proceedings of ROMAN.
[20]
Goffman, E. (1966). Behavior in public places. NY: Free Press.
[21]
Gockley, R., Bruce, A., Forlizzi, J., Michalowski, M., Mundell, A., Rosenthal, S., Sellner, B., Simmons, R., Snipes, K., Schultz, A.C., & Wang, J. (2005). Designing robots for long-term social interaction. In Proceedings of IROS'05, 2199--2204.
[22]
Gockley, R., Forlizzi, J., & Simmons, R. (2006) Interactions with a moody robot. Proceedings of HRI'06, 186--193.
[23]
Harris, S. G. (1994). Organizational culture and individual sensemaking: A schema-based perspective. Organization Science, 5, 309--321.
[24]
Hinds, P., Roberts, T. L., & Jones, H. (2004). Whose job is anyway? A study of human-robot interaction in a collaborative task. Human-Computer Interaction, 19, 151--181.
[25]
Kendon, A. (1990). A description of some human greetings. In Conducting interaction: Patterns of behavior in focused encounters. CUP Archive.
[26]
Kiesler, S., Powers, A., Fussell, S. R., & Torrey, C. (2008). Anthropomorphic interactions with a robot and robot-like agent. Social Cognition, 26, 2, 169--181.
[27]
Kobsa A. (2001). Generic user modeling systems. User Modeling and User-Adapted Interaction, 11, 49--63.
[28]
Kuno, Y., Sadazuka, K., Kawashima, M., Yamazaki, K., Yamazaki, A., & Kuzuoka, H. (2007). Museum guide robot based on sociological interaction analysis. In Proceedings of CHI '07, 1191--1194.
[29]
Kuzuoka, H., Pitsch, K., Suzuki, Y., Kawaguchi, I., Yamazaki, K., Yamazaki, A., Kuno, Y., Luff, P., & Heath, C. (2008). Effect of restarts and pauses on achieving a state of mutual orientation between a human and a robot. Proceedings of CSCW '08, 201--204.
[30]
Lee, E. J., Nass, C., & Brave, S. (2000). Can computer-generated speech have gender?: An experimental test of gender stereotype. Proceedings of CHI'00, Extended Abstract, 289--290.
[31]
Lee, M. K., & Makatchev, M. (2009). How do people talk with a robot?: An analysis of human-robot dialogues in the real world. Proceedings of CHI'09, Work-In-Progress, 3769--3774.
[32]
Lee, S., Lau, I.Y., Kiesler, S., & Chiu, C. (2005). Human mental models of humanoid robots. Proceedings of ICRA'05, 2767--2772.
[33]
Leshed, G., Hancock, J. T., Cosley, D., McLeod, P. L., & Gay, G. (2007). Feedback for guiding reflection on teamwork practices. Proceedings of Group'07, 217--220.
[34]
Makatchev, M., Lee, M. K., & Simmons, R. (2009). Relating initial turns of human-robot dialogues to discourse. Proceedings of HRI'09, 321--322.
[35]
Michalowski, M.P., Sabanovic, S. & Simmons, R. (2006). Spatial model of engagement for a social robot. AMC'06.
[36]
Morkes, J., Kernal, H., & Nass, C. (1999). Effects of humor in task-oriented human-computer interaction and computer-mediated communication: A direct test of SRCT theory. Human-Computer Interaction, 14, 395--435.
[37]
Mutlu, B., & Forlizzi, J. (2008). Robots in organizations: The role of workflow, social, and environmental factors in human-robot interaction. Proceedings of HRI'08, 287--294.
[38]
Nass, C., & Lee, K. M. (2000). Does computer-generated speech manifest personality? An experimental test of similarity-attraction. Proceedings of CHI'00, 329--336.
[39]
Parise, S., Kiesler, S., Sproull, L., & Water, K. (1996) My partner is a real dog: Cooperation with social agents. Proceedings of CSCW'96, 399--408.
[40]
Powers, A. & Kiesler, S. (2006). The advisor robot: Tracing people's mental model from a robot's physical attributes. Proceedings of HRI 2006, 218--225.
[41]
Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people and places. New York: Cambridge University Press.
[42]
Schulte, J., Rosenberg, C., & Thrun, S. (1999). Spontaneous, short-term interaction with mobile robots. Proceedings of Robotics and Automation, 658--663.
[43]
Shiomi, M., Kanda, T., Ishiguro, H., & Hagita, N. (2006). Interactive humanoid robots for a science museum. Proceedings of HRI'06, 305--312.
[44]
Siino, R. & Hinds, P. (2005). Robots, gender & sensemaking: Sex segregation's impact on workers making sense of a mobile autonomous robot. Proceedings of ICRA'05, 2773--2778.
[45]
Thrun, S., Schulte, J., & Rosenberg, C. (2000). Interaction with mobile robots in public places. IEEE Intelligent Systems, pp. 7--11, July/August.
[46]
Yamazaki, A., Yamazaki, K., Kuno, Y., Burdelski, M., Kawashima, M., & Kuzuoka, H. (2008). Precision timing in human-robot interaction: Coordination of head movement and utterance. Proceedings of CHI'08,131--140.

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    cover image ACM Conferences
    CSCW '10: Proceedings of the 2010 ACM conference on Computer supported cooperative work
    February 2010
    468 pages
    ISBN:9781605587950
    DOI:10.1145/1718918
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 06 February 2010

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    Author Tags

    1. agent
    2. conversational interface
    3. cooperation
    4. design
    5. dialogue
    6. human-robot interaction
    7. robot
    8. schemas
    9. scripts
    10. social robots
    11. speech interface

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    February 6 - 10, 2010
    Georgia, Savannah, USA

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    • (2024)Characterising CSCW Research on Human-Robot CollaborationProceedings of the ACM on Human-Computer Interaction10.1145/36409998:CSCW1(1-31)Online publication date: 26-Apr-2024
    • (2024)Cruising Queer HCI on the DL: A Literature Review of LGBTQ+ People in HCIProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642494(1-21)Online publication date: 11-May-2024
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    • (2023)EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversationPLOS ONE10.1371/journal.pone.028045818:2(e0280458)Online publication date: 16-Feb-2023
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