Paper Type
Short
Paper Number
PACIS2025-1273
Description
With the growing global emphasis on mental health, AI tree-holes have emerged as promising innovations, for delivering convenient and cost-effective support to individuals seeking to manage stress and enhance emotional well-being. However, the mechanisms through which these platforms influence users' continuance intention remain underexplored. Drawing on the Stimulus – Organism – Response (SOR) framework, we develop a theoretical model, to be tested using an online survey, that conceptualizes the AI tree-hole ’ s personalized feedback and emotional capability as external stimuli. These stimuli elicit cognitive reappraisal and perceived emotional support (the organism), which in turn drive perceived stress reduction, emotional relief, and continuance intention (the behavioral response). We anticipate that this research will provide theoretical insights into how AI tree-hole characteristics facilitate user engagement through cognitive reappraisal and emotional support, while also providing practical strategies to reduce stress and foster long-term continuance.
Recommended Citation
Liu, Yongmei; Liu, Jingya; and Xiao, Bo Sophia, "Nurturing Minds with AI Tree-holes: Exploring Personalized Feedback, Emotional Capability, and Continuance Intention" (2025). PACIS 2025 Proceedings. 15.
https://aisel.aisnet.org/pacis2025/hci/hci/15
Nurturing Minds with AI Tree-holes: Exploring Personalized Feedback, Emotional Capability, and Continuance Intention
With the growing global emphasis on mental health, AI tree-holes have emerged as promising innovations, for delivering convenient and cost-effective support to individuals seeking to manage stress and enhance emotional well-being. However, the mechanisms through which these platforms influence users' continuance intention remain underexplored. Drawing on the Stimulus – Organism – Response (SOR) framework, we develop a theoretical model, to be tested using an online survey, that conceptualizes the AI tree-hole ’ s personalized feedback and emotional capability as external stimuli. These stimuli elicit cognitive reappraisal and perceived emotional support (the organism), which in turn drive perceived stress reduction, emotional relief, and continuance intention (the behavioral response). We anticipate that this research will provide theoretical insights into how AI tree-hole characteristics facilitate user engagement through cognitive reappraisal and emotional support, while also providing practical strategies to reduce stress and foster long-term continuance.
Comments
HCI