1、Investigating Affective Use and Emotional Well-beingon ChatGPTJason Phang,Michael Lampe,Lama Ahmad,Sandhini AgarwalCathy Mengying Fang,Auren R.Liu,Valdemar Danry,Eunhae Lee,Samantha W.T.Chan,Pat Pataranutaporn,Pattie MaesAbstractAs AI chatbots see increased adoption and integration into everyday lif
2、e,questions have beenraised about the potential impact of human-like or anthropomorphic AI on users.In this work,we investigate the extent to which interactions with ChatGPT(with a focus on Advanced VoiceMode)may impact users emotional well-being,behaviors and experiences through two parallelstudies
3、.To study the affective use of AI chatbots,we perform large-scale automated analysis ofChatGPT platform usage in a privacy-preserving manner,analyzing over 4 million conversationsfor affective cues and surveying over 4,000 users on their perceptions of ChatGPT.To investigatewhether there is a relati
4、onship between model usage and emotional well-being,we conduct anInstitutional Review Board(IRB)-approved randomized controlled trial(RCT)on close to 1,000participants over 28 days,examining changes in their emotional well-being as they interact withChatGPT under different experimental settings.In b
5、oth on-platform data analysis and the RCT,we observe that very high usage correlates with increased self-reported indicators of dependence.From our RCT,we find that the impact of voice-based interactions on emotional well-being tobe highly nuanced,and influenced by factors such as the users initial
6、emotional state and totalusage duration.Overall,our analysis reveals that a small number of users are responsible for adisproportionate share of the most affective cues.1IntroductionOver the past two years,the adoption of AI chat platforms has surged,driven by advancements inlarge language models(LL
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