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Trust Toward Robots and Artificial Intelligence: An Experimental Approach to Human-Technology Interactions Online
Atte Oksanen1, Nina Savela1, Rita Latikka1
1Faculty of Social Sciences, Tampere University, Tampere, Finland.
Frontiers in Psychology
|December 21, 2020
Summary
Trust in artificial intelligence (AI) and robots is complex. In a study, participants did not show different trust levels when opponents were described as AI or robots, but individual factors influenced trust.
Area of Science:
- Human-computer interaction
- Robotics
- Artificial Intelligence
Background:
- Robotization and AI are transforming society, necessitating an understanding of human-technology trust.
- Trust is crucial for effective human-robot and human-AI collaboration, especially in initial interactions.
Purpose of the Study:
- To investigate trust in artificial intelligence (AI) and robots during first encounters.
- To compare trust levels when hypothetical opponents are described as AI, robots, or humans.
Main Methods:
- An online trust game experiment with 1077 US-based participants.
- Manipulation of hypothetical opponent descriptions: AI, robot, human name, or nickname.
- Analysis of Big Five personality traits, technological background, and online robot exposure as predictors of trust.
Main Results:
- Describing opponents as AI or robots did not significantly alter participant trust compared to human names.
- A specific robot identifier ('jdrx894') was more trusted than a human name ('Michael').
- Higher trust in AI and robots was associated with technology/engineering degrees, online robot exposure, self-efficacy, and openness to experience; conscientiousness predicted lower trust.
Conclusions:
- Trust in AI and robots is not solely determined by their classification but is influenced by contextual factors and individual differences.
- Personal attributes like technological background and personality traits play a significant role in shaping trust towards AI and robots.
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