The development of an instrument to measure the degree of animation predisposition of agent users

Abstract The study reports on the development and operationalization of a construct that captures an individual’s degree of predisposition towards watching animated films. It is believed that this construct may potentially explicate a person’s perceptions and usage behavior towards animated agents in Microsoft Office applications. Animation predisposition is defined as an individual specific trait that reflects a person’s predisposition towards watching animated films. It is operationalized in form of a four-item Likert type scale, which was found highly reliable and valid. This construct does not correlate with two other individual specific traits: computer playfulness and personal innovativeness in the domain of information technology. As such, it is suggested that animation predisposition is a distinct and independent research construct exhibiting desirable psychometric properties. The analysis demonstrates that the degree of people’s animation predisposition is positively associated with their perceptions of enjoyment with an animated agent in MS Office. The computer users who have a higher degree of animation predisposition attempt to explore an agent’s personalization settings more frequently than those with a lower degree of animation predisposition. Overall, this study offers a new approach to the investigation of an untapped area aiming to improve the quality of the contemporary research on the usefulness and user acceptance of animated agents.

[1]  Jayne Pilling,et al.  A Reader In Animation Studies , 1998 .

[2]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[3]  Pattie Maes,et al.  Agents that reduce work and information overload , 1994, CACM.

[4]  R. Decharms Personal causation : the internal affective determinants of behavior , 1968 .

[5]  Thomas Rist,et al.  Adding animated presentation agents to the interface , 1997, IUI '97.

[6]  Kazuo Ishii,et al.  Talking Eye: autonomous creature as accomplice for human , 1998, Proceedings. 3rd Asia Pacific Computer Human Interaction (Cat. No.98EX110).

[7]  Jun Ohya,et al.  The representation of agents: anthropomorphism, agency, and intelligence , 1996, CHI Conference Companion.

[8]  Ass,et al.  Can computers be teammates? , 1996 .

[9]  Clifford Nass,et al.  Anthropomorphism, agency, and ethopoeia: computers as social actors , 1993, INTERCHI Adjunct Proceedings.

[10]  J. Burgoon,et al.  Interactivity in human–computer interaction: a study of credibility, understanding, and influence , 2000 .

[11]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[12]  Steven R. Howe,et al.  The Electronic Mirror: Human-Computer Interaction and Change in Self-Appraisals , 1998 .

[13]  Marty Robertson Seaward Interactive assistants provide ease of use for novices: the development of prototypes and descendants , 1998 .

[14]  Christian Couturier,et al.  Internet consumer value of university students: E-mail-vs.-Web users , 2002 .

[15]  Michael R. Genesereth,et al.  Software agents , 1994, CACM.

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

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

[18]  Thomas W. Malone,et al.  Heuristics for designing enjoyable user interfaces: Lessons from computer games , 1982, CHI '82.

[19]  R. D. Charms Personal Causation: The Internal Affective Determinants of Behavior , 1983 .

[20]  J.A.P.J. Breuker What are intelligent coaching systems and why are they (in)evitable , 1998 .

[21]  D. Kendrick,et al.  Personality Structure and Measurement , 1970, Mental Health.

[22]  Mervyn A. Jack,et al.  Evaluating humanoid synthetic agents in e-retail applications , 2001, IEEE Trans. Syst. Man Cybern. Part A.

[23]  Neil Randall,et al.  Who exactly is trying to help us? The ethos of help systems in popular computer applications , 1998, SIGDOC '98.

[24]  Stanley J. Rosenschein,et al.  An architecture for adaptive intelligent systems , 1996 .

[25]  Elizabeth Dykstra-Erickson,et al.  Interview: Ben Shneiderman and Allison Druin , 2000, INTR.

[26]  Maxim J. Schlossberg,et al.  Society and Personality: An Interactionist Approach to Social Psychology. , 1989 .

[27]  J. Ohya,et al.  The representation of agents: a study of phenomena in virtual environments , 1995, Proceedings 4th IEEE International Workshop on Robot and Human Communication.

[28]  Patricia A. Chalmers,et al.  The role of cognitive theory in human-computer interface , 2003, Comput. Hum. Behav..

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

[30]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[31]  D. Magnusson Toward A Psychology of Situations : An Interactional Perspective , 1981 .

[32]  NICHOLAS R. JENNINGS,et al.  An agent-based approach for building complex software systems , 2001, CACM.

[33]  Maarten van Dantzich,et al.  Lifelike computer characters: the persona project at Microsoft , 1997 .

[34]  Pattie Maes,et al.  Learning Interface Agents , 1993, AAAI.

[35]  Alexander Hars,et al.  Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..

[36]  Pattie Maes,et al.  Artificial life meets entertainment: lifelike autonomous agents , 1995, CACM.

[37]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[38]  Magid Igbaria,et al.  A Motivational Model of Microcomputer Usage , 1996, J. Manag. Inf. Syst..

[39]  Brian R. Duffy,et al.  Anthropomorphism and the social robot , 2003, Robotics Auton. Syst..

[40]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .

[41]  Henry Lieberman,et al.  Letizia: An Agent That Assists Web Browsing , 1995, IJCAI.

[42]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[43]  Hans Bergman,et al.  The birth of a HELP system , 1985, ACM '85.

[44]  Donaldo de Souza Dias Managers’ motivation for using information technology , 1998 .

[45]  Ben Shneiderman,et al.  Direct Manipulation: A Step Beyond Programming Languages , 1983, Computer.

[46]  Christine T. Kydd,et al.  Individual characteristics associated with World Wide Web use: an empirical study of playfulness and motivation , 1997, DATB.

[47]  M. Csíkszentmihályi Beyond boredom and anxiety , 1975 .

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

[49]  Magid Igbaria,et al.  The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology , 1994, Behav. Inf. Technol..

[50]  Clifford Nass,et al.  Machines, social attributions, and ethopoeia: performance assessments of computers subsequent to "self-" or "other-" evaluations , 1994, Int. J. Hum. Comput. Stud..

[51]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[52]  Maarten van Dantzich,et al.  1. Lifelike Computer Characters: the Persona project at Microsoft Research , 1997 .

[53]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[54]  Michael Wooldridge,et al.  Applications of intelligent agents , 1998 .

[55]  Richard D. Johnson,et al.  A theoretical model of differential social attributions toward computing technology: when the metaphor becomes the model , 2000, Int. J. Hum. Comput. Stud..

[56]  Pattie Maes,et al.  Agents that buy and sell , 1999, CACM.

[57]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[58]  John Funge,et al.  Cognitive modeling for games and animation , 2000, CACM.

[59]  Daniel L. Sherrell,et al.  Communications of the Association for Information Systems , 1999 .

[60]  George A. Marcoulides,et al.  Modern methods for business research , 1998 .

[61]  Steven J. Plimpton,et al.  Massively parallel methods for engineering and science problems , 1994, CACM.

[62]  J. M. Digman PERSONALITY STRUCTURE: EMERGENCE OF THE FIVE-FACTOR MODEL , 1990 .

[63]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[64]  Richard Keeble,et al.  Assistant agents for the world wide web intelligent interface design challenges , 2000, Interact. Comput..

[65]  T. Shibutani Society and Personality: Interactionist Approach to Social Psychology , 1988 .

[66]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[67]  H. J. Institute Genetic and Environmental Contributions to Individual Differences: The Three Major Dimensions of Personality , 2005 .

[68]  T. Koda,et al.  Agents with faces: the effect of personification , 1996, Proceedings 5th IEEE International Workshop on Robot and Human Communication. RO-MAN'96 TSUKUBA.

[69]  R. Cattell The Description and Measurement of Personality , 1947, Mental Health.

[70]  Michael Wooldridge,et al.  Agent technology: foundations, applications, and markets , 1998 .

[71]  Akikazu Takeuchi,et al.  Situated facial displays: towards social interaction , 1995, CHI '95.

[72]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[73]  Shari Lawrence Pfleeger,et al.  Principles of survey research: part 5: populations and samples , 2002, SOEN.

[74]  Demetri Terzopoulos,et al.  Artificial life for computer graphics , 1999, CACM.

[75]  S. Fiske,et al.  Social Psychology , 2019, Encyclopedia of Personality and Individual Differences.

[76]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[77]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

[78]  João Eduardo Kögler,et al.  An artificial life approach for the animation of cognitive characters , 2001, Comput. Graph..

[79]  Jean E. Sammet,et al.  In recognition of the 25th anniversary of Computing Reviews: selected reviews 1960–1984 , 1985, CACM.

[80]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..