Trust is essential for our interactions with others but also with artificial
intelligence (AI) based systems. To understand whether a user trusts an AI,
researchers need reliable measurement tools. However, currently discussed
markers mostly rely on expensive and invasive sensors, like
electroencephalograms, which may cause discomfort. The analysis of mouse
trajectory has been suggested as a convenient tool for trust assessment.
However, the relationship between trust, confidence and mouse trajectory is not
yet fully understood. To provide more insights into this relationship, we asked
participants (n = 146) to rate whether several tweets were offensive while an
AI suggested its assessment. Our results reveal which aspects of the mouse
trajectory are affected by the users subjective trust and confidence ratings;
yet they indicate that these measures might not explain sufficiently the
variance to be used on their own. This work examines a potential low-cost trust
assessment in AI systems.Comment: Submitted to CHI 2023 and rejecte