## 3 Results
### Attitudes Toward AI Technology for Emotion Regulation  
To explore young people's attitudes toward AI-based emotion regulation technology they currently use, participants were asked questions such as \"What do you like and dislike about AI technology for emotion regulation?\" and \"What do you consider to be the strengths and weaknesses of the AI-based emotion regulation products you currently use?\". Participants' responses were categorised into three attitudinal types: positive, neutral and negative evaluations. Amongst the coded statements, with 47.24% reflecting positive attitudes, 12.88% were neutral and 39.88% were negative. The results indicated that young people have more positive than negative attitudes toward using AI technology for emotion regulation. The most frequently cited reasons for positive attitudes were the effectiveness of AI technology in regulating emotional states (44.15%) and the functional value provided by AI technology (38.96%). Respondents consistently emphasised that enhancing positive emotions, reducing negative emotions and maintaining emotional stability are central to their evaluation of AI technology for emotion regulation. These capabilities are essential to promoting emotional well-being and managing psychological challenges. Additionally, respondents noted that they were often able to derive positive emotional experiences from AI technology. This finding aligned with the findings by [PERSON] [48], who reported significant improvements in language retention and emotion regulation amongst users of AI technology. Similarly, [PERSON] et al. [49] found that achieving intrinsic emotion regulation goals through AI technology could enhance affective well-being. These insights suggested that, when young users perceive AI technology as effective, supportive and aligned with their emotion regulation needs, they are significantly likely to form positive attitudes toward its continued use. Deriving negative impacts (55.39%) was the leading reason respondents negatively evaluated AI technology for emotion regulation. Other reasons included unresolved issues (15.38%), inconvenience (12.31%), low value (7.69%), complex (4.62%), addiction (3.07) and security and privacy risks (1.54%). Young people expressed concerns that the use of AI technology might worsen their emotional states, lead to addiction, increase their psychological stress or pose privacy and security risks [50]. These risks undermine users' \begin{table}
\begin{tabular}{l l l l} \hline
**Categories** & **Subcategories** & **Definition** & **Percentage** \\ \hline Reasons for the non-use of AI technology for emotion regulation (27.68\%) & Functional barriers (55.94\%) & The extent to which the non-use of AI technology for emotion regulation is perceived to be instrumental in achieving valued outcomes & Low value (51.76\%) \\  & & & \\  & & & \\  & & & \\  & & & \\  & & & \\ \hline Dispositional barriers & Personal factors associated & Inconvenience (36.67\%) \\ (41.96\%) & with individuals’ attitudes and self-perceptions about oneself as a user & Difficulty with learning \\  & & & \\  & & & \\ \hline Environmental barriers & Factors that are beyond one’s & No relevant products \\ (2.1\%) & control and are related to the & (56.69\%) \\  & & individual’s life situation or & No professional platform \\  & & environment at a particular & or channel (30.75\%) \\  & & time & Lack of information \\  & & & (12.56\%) \\ \hline \end{tabular}
\end{table} 
Table 1: _Cont._confidence in the technology, making them question its safety, reliability and appropriateness for personal use. Many participants perceived that AI technology fails to genuinely understand, interpret or respond to the complexity of human emotions. This perceived lack of emotional resonance and empathy contributed to a sense of disconnection and reduced trust, because users doubted that AI technology could provide the sensitivity required for effective emotion regulation.