Tiny Tech, Big Impact

IF 0.3 Q4 CRITICAL CARE MEDICINE
Kanwal Gul, Sunita Panicker, Swapnil Morandé, Veena Tewari
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引用次数: 0

Abstract

Eating disorders and food waste present urgent public health and environmental crises requiring innovative solutions. Advances in artificial intelligence (AI) and mobile technology enable new interventions to promote healthy, sustainable eating habits. This research conceptualizes an AI system delivered via smartphone to monitor individuals' food contexts and deliver real-time nudges during preparation and consumption. Qualitative methodology through interviews and focus groups will refine nudge timing, content, and delivery for optimal impact based on user experiences. While human behavior remains complex, this research explores AI's potential to scale personalized interventions targeting problematic habits. Even minor improvements nudged at the individual level could have multiplicative benefits for population health and sustainability. Next steps include evaluating nudging effectiveness and addressing technical challenges like privacy and sustained engagement. Transdisciplinary collaboration is critical to develop ethical, human-centered AI systems for positive social change.
小科技,大影响
饮食失调和食物浪费是迫切的公共卫生和环境危机,需要创新的解决办法。人工智能(AI)和移动技术的进步使新的干预措施能够促进健康、可持续的饮食习惯。这项研究构想了一种通过智能手机传输的人工智能系统,该系统可以监控个人的食物环境,并在准备和消费过程中提供实时推送。通过访谈和焦点小组的定性方法将优化推送时间、内容和交付,以获得基于用户体验的最佳影响。虽然人类行为仍然很复杂,但这项研究探索了人工智能在针对问题习惯进行个性化干预方面的潜力。即使是在个人层面上的微小改进,也可能对人口健康和可持续性产生成倍的好处。接下来的步骤包括评估推动效果,解决隐私和持续参与等技术挑战。跨学科合作对于开发道德的、以人为本的人工智能系统以促进积极的社会变革至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Critical & Intensive Care
Journal of Critical & Intensive Care CRITICAL CARE MEDICINE-
CiteScore
0.50
自引率
0.00%
发文量
12
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