lightbulb现实痛点推荐解释与透明性用户对推荐系统中低质量个性化推荐感到反感可能导致体验不佳。CHI '23`Specially For You' -- Examining the Barnum Effect's Influence on the Perceived Quality of System Recommendations
lightbulb现实痛点推荐解释与透明性智能设备屏幕小,用户难以快速理解推荐背后的原因。IUI '25Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices
lightbulb现实痛点推荐解释与透明性儿童难以理解AI推荐系统,引发隐私和算法认知不足问题。CHI '25Briteller: Shining a Light on AI Recommendations for Children
lightbulb现实痛点推荐解释与透明性用户无法清晰理解AI推荐系统的责任归属,特别是在出错时。CSCW '24"Exploring How Users Attribute Responsibilities Across Different Stakeholders in Human-AI Interaction"
lightbulb现实痛点推荐解释与透明性设计师难以理解和实际应用透明性标准提升系统透明度。CHI '24Mind The Gap: Designers and Standards on Algorithmic System Transparency for Users
lightbulb现实痛点推荐解释与透明性学术顾问时间有限,难以兼顾学生的个性化需求和课程规划。CHI '23Impressions and Strategies of Academic Advisors When Using a Grade Prediction Tool During Term Planning
lightbulb现实痛点推荐解释与透明性用户在使用AI生成的建议时,往往依赖过度而缺乏深层思考。IUI '22Do people engage cognitively with AI? Impact of AI assistance on incidental learning