Interface agents as social models: the impact of appearance on females' attitude toward engineering
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Interface agents to alleviate online frustration
ICLS '06 Proceedings of the 7th international conference on Learning sciences
The Effects of Agent Nonverbal Communication on Procedural and Attitudinal Learning Outcomes
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Simulating Instructional Roles through Pedagogical Agents
International Journal of Artificial Intelligence in Education
Designing nonverbal communication for pedagogical agents: When less is more
Computers in Human Behavior
A Look at the Roles of Look & Roles in Embodied Pedagogical Agents - A User Preference Perspective
International Journal of Artificial Intelligence in Education
Changing Attitudes and Performance with Computer-generated Social Models
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
Towards Systems That Care: A Conceptual Framework based on Motivation, Metacognition and Affect
International Journal of Artificial Intelligence in Education
The effect of visual gender on abuse in conversation with ECAs
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
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The current work examined the influence of pedagogical agents as social models to increase females' interest in engineering. Seventy-nine female undergraduate students rated pedagogical agents on a series of factors (e.g., most like themselves, most like an engineer, and most prefer to learn from). The agents were identical with the exception of differing by appearance/image in four aspects (age, gender, attractiveness, “coolness”). After selecting the agent from which they most preferred to learn, participants interacted with it for approximately 15 minutes and received a persuasive message about engineering. Results indicated that the women were more likely to choose a female, attractive, young, and cool agent as most like themselves and the one they most wanted to be like. However, they tended to select male, older, uncool agents as the most like engineers and tended to choose to learn about engineering from agents that were male and attractive, but uncool. Interacting with an agent had a positive impact on math-related beliefs. Specifically, the women reported more positive math and science related beliefs compared to their attitudes at the beginning of the semester and compared to a group of women who did not interact with an agent. Further, among the women who viewed an agent, the older version of the agent had a stronger positive influence on their math-related beliefs than the younger agent.