lightbulb现实痛点算法厌恶、用户控制与信任校准个性化新闻推荐中,用户常缺乏主动性和透明度,难以信任系统。CHI '24Agency Aspirations: Understanding Users’ Preferences And Perceptions Of Their Role In Personalised News Curation
lightbulb现实痛点算法厌恶、用户控制与信任校准开发者需要耗费大量心力来提示和验证AI代码建议,降低编程效率。CHI '25Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
lightbulb现实痛点算法厌恶、用户控制与信任校准用户过度使用智能手机,导致健康和社交问题,同时现有的干预方法缺乏适应性和解释性。CHI '24Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention
lightbulb现实痛点算法厌恶、用户控制与信任校准用户无法灵活调整AI的角色与功能,且AI决策透明度不足。CSCW '23Towards Human-Centred AI-Co-Creation: A Three-Level Framework for Effective Collaboration between Human and AI
lightbulb现实痛点算法厌恶、用户控制与信任校准用户往往不信任算法,可能导致其低效使用或完全弃用。CHI '23Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control
lightbulb现实痛点算法厌恶、用户控制与信任校准无人驾驶摄像车等公共AI缺乏争议解决机制,容易削弱公众信任。CHI '23Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
lightbulb现实痛点算法厌恶、用户控制与信任校准用户难以理解机器学习模型的决策,缺乏信任感。IUI '22Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules