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Trusting a Virtual Driver That Looks, Acts, and Thinks Like You
Frank M F Verberne1, Jaap Ham2, Cees J H Midden2
1Eindhoven University of Technology, Eindhoven, Netherlands frankverberne@gmail.com.
Human Factors
|April 30, 2015
Summary
Similarity increases trust in virtual agents. Participants trusted a similar virtual driver more than a dissimilar one, suggesting this could enhance acceptance of self-driving cars.
Area of Science:
- Human-computer interaction
- Psychology
- Artificial intelligence
Background:
- Trust is crucial for smart system acceptance.
- Smart systems are often anthropomorphized.
- Human-to-human similarity research suggests increased trust.
Purpose of the Study:
- To investigate if similarity influences trust in virtual agents.
- To compare trust in similar versus dissimilar virtual agents.
- To explore the impact of experience on trust.
Main Methods:
- Driving simulator experiment with 111 participants.
- Virtual agent presented as a driver, either similar or dissimilar.
- Measurement of trust before and after interaction, and perceived similarity.
Main Results:
- Higher trust in the similar agent compared to the dissimilar agent, even before interaction.
- Perceived similarity mediated the trust effect.
- Sustained higher trust in the similar agent after experiencing it.
Conclusions:
- Similarity significantly enhances trust in virtual agents, mirroring human-to-human interactions.
- Virtual agents with human-like similarity can increase user trust.
- This finding has implications for the adoption of autonomous vehicles, particularly self-driving cars.
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