发表机构
National University of Singapore（新加坡国立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对现有可穿戴戒烟系统反应滞后的问题，基于线索反应理论和自我决定理论，通过定性研究提出AURA智能手表-智能手机生态系统，实现主动渴望检测与干预。
AI 中文摘要
戒烟仍然是一个复杂的自我调节挑战，常常因习惯性、情感性和社会性情境引发的线索触发渴望而受到削弱。现有的可穿戴戒烟系统大多是反应性的，仅在复吸发生后检测吸烟事件，从而错过了及时干预的关键窗口。在线索反应理论和自我决定理论（SDT）的指导下，我们认为未来的数字健康系统应从回顾性反馈转向支持用户自主性和能力的主动渴望管理。为了指导此类系统的设计，我们进行了一项形成性试点定性研究，涉及对来自多种族亚洲人群的10名吸烟者和戒烟者的半结构化访谈，这一人群在当前可穿戴AI和戒烟研究中代表性不足。通过迭代的共同设计访谈过程，我们考察了（1）戒烟的障碍和促进因素，以及（2）在复吸发生前针对渴望的可穿戴系统的期望设计特征。我们的发现识别了习惯性、情感性和社会性维度上的关键渴望预测因素，以及用户偏好的干预策略，如社会问责、个性化支持、奖励和即时干扰技术。参与者还强调了信任、隐私、个性化和非评判性互动风格的重要性。这些见解直接指导了AURA的设计，AURA是一种新颖的智能手表-智能手机生态系统，利用商用可穿戴设备进行主动渴望检测和干预。
英文摘要
Smoking cessation remains a complex self-regulatory challenge, often undermined by cue-triggered cravings arising from habitual, emotional, and social contexts. Existing wearable cessation systems are largely reactive, detecting smoking events only after lapses occur and thus missing the critical window for timely intervention. Guided by cue-reactivity theory and Self-Determination Theory (SDT), we argue that future digital health systems should shift from retrospective feedback toward proactive craving management that supports user autonomy and competence. To inform the design of such systems, we present a formative pilot qualitative study involving semi-structured interviews with 10 smokers and ex-smokers from a multi-ethnic Asian population, a demographic underrepresented in current wearable AI and smoking cessation research. Through an iterative co-design interview process, we examine (1) the barriers and facilitators to smoking cessation and (2) the desired design features of wearable systems targeting cravings before lapses occur. Our findings identify key craving predictors across habitual, emotional, and social dimensions, alongside user-preferred intervention strategies such as social accountability, personalized support, rewards, and just-in-time distraction techniques. Participants also emphasized the importance of trust, privacy, personalization, and non-judgmental interaction styles. These insights directly inform the design of AURA, a novel smartwatch-smartphone ecosystem for proactive craving detection and intervention using commercially available wearable devices.
