Theoretical framework reveals perceived intentionality as the critical driver of comfort and acceptance in human-AI interaction, highlighting design strategies to reduce uncanny valley effects.
The increasing sophistication of artificial intelligence (AI) systems has led to complex interactions between machines and humans, where the perceived behaviors of AI evoke a wide range of responses. This paper presents a novel hierarchical framework that elucidates the progression from intelligence to autonomy to unpredictability to intentionality in AI, arguing that intentionality is the critical factor that influences human comfort and acceptance. By examining these levels, we can better understand user reactions and develop design principles to mitigate discomfort, particularly related to the uncanny valley effect. Through this exploration, we aim to provide a comprehensive understanding of how AI design can balance functionality with user trust and ethical considerations.
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Christos Ouzounis (2024) studied this question.
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