How our personality shapes our interactions with virtual characters: implications for research and development

Authors:
Astrid M. Von Der Pütten;Nicole C. Krämer;Jonathan Gratch
Affiliations:
University of Duisburg-Essen, Duisburg, Germany;University of Duisburg-Essen, Duisburg, Germany;University of Southern California, Institute for Creative Technologies, Marina del Rey
Venue:
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
Year:
2010

Citing 15
Cited 1

Computers are social actors

CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Can computer personalities be human personalities?

International Journal of Human-Computer Studies
The media equation: how people treat computers, television, and new media like real people and places

The media equation: how people treat computers, television, and new media like real people and places
Computers are social actors: a review of current research

Human values and the design of computer technology
Consistency of personality in interactive characters: verbal cues, non-verbal cues, and user characteristics

International Journal of Human-Computer Studies
Controlling the behavior of animated presentation agents in the interface: Scripting versus Instructing

AI Magazine
Reading personality in onscreen interactive characters: an examination of social psychological principles of consistency, personality match, and situational attribution applied to interaction with characters

Reading personality in onscreen interactive characters: an examination of social psychological principles of consistency, personality match, and situational attribution applied to interaction with characters
Equilibrium Theory Revisited: Mutual Gaze and Personal Space in Virtual Environments

Presence: Teleoperators and Virtual Environments
Does the contingency of agents' nonverbal feedback affect users' social anxiety?

Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
The Effects of an Embodied Conversational Agent's Nonverbal Behavior on User's Evaluation and Behavioral Mimicry

IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Virtual Humans Elicit Skin-Tone Bias Consistent with Real-World Skin-Tone Biases

IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Agreeable People Like Agreeable Virtual Humans

IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Effects of humor in task-oriented human-computer interaction and computer-mediated communication: a direct test of SRCT theory

Human-Computer Interaction
Media Equation Revisited: Do Users Show Polite Reactions towards an Embodied Agent?

IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Virtual rapport

IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents

First impressions: users' judgments of virtual agents' personality and interpersonal attitude in first encounters

IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents

Quantified Score

Hi-index	0.00

Visualization

Abstract

There is a general lack of awareness for the influence of users' personality traits on human-agent-interaction (HAI). Numerous studies do not even consider explanatory variables like age and gender although they are easily accessible. The present study focuses on explaining the occurrence of social effects in HAI. Apart from the original manipulation of the study we assessed the users' personality traits. Results show that participants' personality traits influenced their subjective feeling after the interaction, as well as their evaluation of the virtual character and their actual behavior. From the various personality traits those traits which relate to persistent behavioral patterns in social contact (agreeableness, extraversion, approach avoidance, self-efficacy in monitoring others, shyness, public self-consciousness) were found to be predictive, whereas other personality traits and gender and age did not affect the evaluation. Results suggest that personality traits are better predictors for the evaluation outcome than the actual behavior of the agent as it has been manipulated in the experiment. Implications for research on and development of virtual agents are discussed.