Augmenting the Human Perception of Comfort through Interactive AI

Zhong, Sailin

doi:10.1145/3491101.3503809

Cited by 2 publications

(1 citation statement)

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“…Hence, using of the proposed AI system that is trained to predict human intent through perception, we aim to evaluate the comfortability of the user when interacting with such a system. We hypothesize that such an attempt may cause discomfort [33] to the human. To evaluate this hypothesis, we perform a user study with an AI system equipped with Theory of Mind (ToM) [24] that is capable of predicting human intention in a social context described in [14].…”

Section: Introductionmentioning

confidence: 99%

A Study of Comfortability between Interactive AI and Human

Ru¹,

Duan²,

Talia³

et al. 2023

Preprint

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As the use of interactive AI systems becomes increasingly prevalent in our daily lives, it is crucial to understand how individuals feel when interacting with such systems. In this work, we investigate the comfort level of individuals when interacting with intentpredicting AI systems and identify the factors of influence. We introduce a study protocol to analyze human comfortability when interacting with intent-predicting AI systems and execute the study with over a dozen participants. The study findings suggest that users are comfortable with AI systems if they have control and their privacy is not affected. Additionally, the study found that users could differentiate between AI and human responses, but this did not significantly affect their comfort levels. This research paper's significance lies in its contribution to the growing body of literature on interactive AI systems, and it emphasizes the need to consider user perceptions in the development and deployment.

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Section: Introductionmentioning

confidence: 99%