Social Cues in Animated Conversational Agents

SUMMARY In human-computer interaction people often interpret the interaction with the computer as interactions with humans. The social agency theory suggests that social cues like the face and voice of the agent motivate this interpretation. In two off-line experiments in which comprehension scores and liking ratings were collected, we found that participants preferred natural agents with natural voices, as predicted by the social-cue hypothesis. Although female agents with male voices formed an exception, this was explained by a stereotype effect. These findings support the social-cue hypothesis and the social agency theory that human characteristics are applied in the perception of computational animated conversational agents. Copyright # 2005 John Wiley & Sons, Ltd.

[1]  A. Eagly Sex differences in social behavior : a social-role interpretation , 1987 .

[2]  Susanne P. Lajoie,et al.  Sherlock: A Coached Practice Environment for an Electronics Troubleshooting Job. , 1988 .

[3]  Jill H. Larkin,et al.  Computer-assisted instruction and intelligent tutoring systems - shared goals and complementary approaches , 1992, Technology in education series.

[4]  Mark Steedman,et al.  Animated conversation: rule-based generation of facial expression, gesture & spoken intonation for multiple conversational agents , 1994, SIGGRAPH.

[5]  D W Massaro,et al.  Visual, orthographic, phonological, and lexical influences in reading. , 1994, Journal of experimental psychology. Human perception and performance.

[6]  Chung Hee Hwang,et al.  The TRAINS project: a case study in building a conversational planning agent , 1994, J. Exp. Theor. Artif. Intell..

[7]  Ann K. Syrdal,et al.  Acoustic variability in spontaneous conversational speech of American English talkers , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[8]  Tom Routen,et al.  Intelligent Tutoring Systems , 1996, Lecture Notes in Computer Science.

[9]  Clifford Nass,et al.  The media equation - how people treat computers, television, and new media like real people and places , 1996 .

[10]  Clifford Nass,et al.  Are Computers Gender-Neutral? Gender Stereotypic Responses to Computers , 1997 .

[11]  James C. Lester,et al.  Animated pedagogical agents and problem-solving effectiveness: a large-scale empirical evaluation , 1997 .

[12]  Rosalind W. Picard Affective computing: (526112012-054) , 1997 .

[13]  C. Nass,et al.  Are Machines Gender Neutral? Gender‐Stereotypic Responses to Computers With Voices , 1997 .

[14]  Ben Shneiderman,et al.  Direct manipulation versus agents: paths to predictable, controllable, and comprehensible interfaces , 1997 .

[15]  Thomas Rist,et al.  Integrating reactive and scripted behaviors in a life-like presentation agent , 1998, AGENTS '98.

[16]  W. Lewis Johnson,et al.  Animated Agents for Procedural Training in Virtual Reality: Perception, Cognition, and Motor Control , 1999, Appl. Artif. Intell..

[17]  Alexander I. Rudnicky,et al.  Creating natural dialogs in the carnegie mellon communicator system , 1999, EUROSPEECH.

[18]  R. Mayer,et al.  Maximizing Constructivist Learning From Multimedia Communications by Minimizing Cognitive Load , 1999 .

[19]  James C. Lester,et al.  Deictic Believability: Coordinated Gesture, Locomotion, and Speech in Lifelike Pedagogical Agents , 1999, Appl. Artif. Intell..

[20]  Kristinn R. Thórisson,et al.  The Power of a Nod and a Glance: Envelope Vs. Emotional Feedback in Animated Conversational Agents , 1999, Appl. Artif. Intell..

[21]  Wayne H. Ward,et al.  The CU communicator: an architecture for dialogue systems , 2000, INTERSPEECH.

[22]  Konstantinos Koumpis,et al.  Proceedings of the 6th International Conference on Spoken Language Processing , 2000 .

[23]  Kurt VanLehn,et al.  Andes: A Coached Problem Solving Environment for Physics , 2000, Intelligent Tutoring Systems.

[24]  Susanne van Mulken,et al.  The impact of animated interface agents: a review of empirical research , 2000, Int. J. Hum. Comput. Stud..

[25]  Thomas Eckes,et al.  The developmental social psychology of gender , 2000 .

[26]  James C. Lester,et al.  Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments , 2000 .

[27]  James C. Lester,et al.  The Case for Social Agency in Computer-Based Teaching: Do Students Learn More Deeply When They Interact With Animated Pedagogical Agents? , 2001 .

[28]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[29]  Arthur C. Graesser,et al.  Teaching Tactics and Dialog in AutoTutor , 2001 .

[30]  Arthur C. Graesser,et al.  Intelligent Tutoring Systems with Conversational Dialogue , 2001, AI Mag..

[31]  Scotty D. Craig,et al.  Animated Pedagogical Agents in Multimedia Educational Environments: Effects of Agent Properties, Picture Features, and Redundancy , 2002 .

[32]  Arthur C. Graesser,et al.  Perceived Characteristics and Pedagogical Efficacy of Animated Conversational Agents , 2002, Intelligent Tutoring Systems.

[33]  Arthur C. Graesser,et al.  Good computational manners: Mixed-initiative dialog in conversational agents , 2002 .

[34]  Stan Franklin,et al.  Automating human information agents , 2002 .

[35]  Arthur C. Graesser,et al.  Learning about the Ethical Treatment of Human Subjects in Experiments on a Web Facility with a Conversational Agent and ITS Components , 2002, Intelligent Tutoring Systems.

[36]  R. Atkinson Optimizing learning from examples using animated pedagogical agents. , 2002 .

[37]  Arthur C. Graesser,et al.  The Impact of Conversational Navigational Guides on the Learning, Use, and Perceptions of Users of a Web Site , 2003, AMKM.

[38]  Patricia D. Mautone,et al.  Social cues in multimedia learning: Role of speaker's voice. , 2003 .

[39]  Jeeheon Ryu,et al.  The Effects of Image and Animation in Enhancing Pedagogical Agent Persona , 2003 .

[40]  Danielle S McNamara,et al.  iSTART: Interactive strategy training for active reading and thinking , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[41]  James C. Lester,et al.  Lifelike Pedagogical Agents for Mixed-initiative Problem Solving in Constructivist Learning Environments , 2004, User Modeling and User-Adapted Interaction.

[42]  Heather H. Mitchell,et al.  AutoTutor: A tutor with dialogue in natural language , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[43]  Kristen N. Moreno,et al.  AutoTutor Improves Deep Learning of Computer Literacy : Is it the Dialog or the Talking Head ? , 2004 .