Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
Face Analysis for the Synthesis of Photo-Realistic Talking Heads
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Rhythm modeling, visualizations and applications
Proceedings of the 16th annual ACM symposium on User interface software and technology
The use of emotions to create believable agents in a virtual environment
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Human-Computer Interaction
Effects of facial similarity on user responses to embodied agents
ACM Transactions on Computer-Human Interaction (TOCHI)
Hi-index | 0.00 |
People consider other people who resemble them to be more persuasive. Users may consider embodied conversational agents, or ECAs, to be more persuasive if the agents resemble them. In an experimental study, we found that users rated the persuasiveness of agents that resemble them higher than other agents. However, actual advice-taking diverged from this pattern; when users created the agents, users changed their choices less when interacting with the agents that resembled them. We conducted a follow-up study and found that resemblance and self-esteem affect interactions with agents that resemble users. We discuss the use of self-report and behavioral data in evaluations of agent interfaces and how agents that resemble users might foster particular social interactions with a system. We suggest that agents that resemble users may be more persuasive in advising users about their actions and decisions.