Trust and Perceived Control in Burnout Support Chatbots
C. Degachi (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M.L. Tielman – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
W.P. Brinkman – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
Increased levels of user control and feedback incorporation in learning systems is commonly cited as good AI development practice. However, the evidence as to the exact effect of perceived control over trust in these systems is mixed. This study investigates the relationship between different dimensions of trust and perceived control in postgraduate student burnout support chatbots. We present an in-between subject controlled experiment using simulated therapy-goal learning to study the effects of goal editing and feedback incorporation on perceived agent benevolence and competence. Our results showed that perceived control was moderately positively correlated with benevolence (r = 0.448, BF10 = 7.150), and weakly correlated with competence, and general trust.