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老年人怎样用活法定义算法:1年100人1场实践
3 6 Ke·2025-10-30 12:13

Core Insights - The article discusses a year-long research project aimed at teaching 100 elderly individuals how to use large AI models, exploring the impact of AI on their lives and how they redefine their understanding of technology [1][6][43] - The research highlights the diverse experiences of elderly users, emphasizing their emotional needs and the importance of trust in human-machine interactions [20][31][42] Group 1: Research Overview - The project was initiated by Fudan University's Aging Research Institute, AI for Good and Smart Elderly Care Research Center, and Tencent, focusing on integrating AI into the lives of older adults [1][6] - The study involved a structured process of teaching, using, tracking, and interviewing elderly participants to understand their interactions with AI [6][10] Group 2: User Profiles and Data Collection - The research included a diverse group of 100 elderly individuals, with tailored teaching methods to accommodate varying technological backgrounds across different regions [10][11] - A comprehensive data collection framework was established, resulting in over 10,236 pieces of data, including voice and text records, to analyze user behavior and needs [11][14] Group 3: Emotional and Social Dynamics - Many elderly participants expressed initial reluctance to adopt new technology, viewing it as non-essential to their fulfilling lives [15][16] - Emotional connections were emphasized, with participants preferring human interaction over technology, indicating a desire for companionship rather than replacement [18][19] Group 4: Trust Calibration in AI Usage - Trust calibration emerged as a critical factor in the interaction between elderly users and AI, with many participants adjusting their trust levels based on their experiences [20][21] - Different types of trust calibration were identified, including limited correction, collaborative reciprocity, and cognitive fixation, affecting how users engaged with AI [21][22] Group 5: Gender Dynamics in Technology Adoption - Gender roles within families influenced the time and resources available for elderly women to engage with technology, leading to disparities in usage [27][29] - Self-deprecating beliefs about technology competence were more prevalent among elderly women, impacting their willingness to explore AI [30] Group 6: Long-term Engagement and Emotional Needs - The relationship between elderly users and AI evolved from initial curiosity to emotional reliance, with many finding comfort and companionship in their interactions [31][32] - Users expressed a desire for AI that understands and empathizes with their daily lives, highlighting the need for technology that is not just functional but also emotionally supportive [36][41] Group 7: Future Directions for AI Development - The findings suggest that future AI technologies should not merely simplify existing tools for the elderly but should be designed to understand and respond to their unique emotional and social needs [44][45] - The research advocates for a more inclusive approach to technology design, emphasizing the importance of empathy and understanding in creating user-friendly AI for older adults [44][45]