help研究问题算法厌恶、用户控制与信任校准什么设计策略可以平衡主动型AI编程支持的高效性和用户的工作流中断?CHI '25Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
help研究问题算法厌恶、用户控制与信任校准如何通过可视化和多层次交互技术提升用户对主动型AI的信任和控制感?CHI '25Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
help研究问题算法厌恶、用户控制与信任校准与传统用户驱动型方法相比,主动型AI编程助手对任务完成效率和用户体验的影响是什么?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
help研究问题算法厌恶、用户控制与信任校准如何设计一个自适应且可解释的智能介入系统,以应对智能手机使用过度问题?CHI '24Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention
help研究问题算法厌恶、用户控制与信任校准用户反馈的引入如何提高AI驱动干预系统的准确性和接受度?CHI '24Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention
help研究问题算法厌恶、用户控制与信任校准解释性AI模块如何增强干预系统的透明度和用户信任?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
help研究问题算法厌恶、用户控制与信任校准用户在个性化新闻推荐中如何理解并行使自己的主动权?CHI '24Agency Aspirations: Understanding Users’ Preferences And Perceptions Of Their Role In Personalised News Curation
help研究问题算法厌恶、用户控制与信任校准透明度和控制感如何影响用户对个性化新闻推荐系统的信任和使用意愿?CHI '24Agency Aspirations: Understanding Users’ Preferences And Perceptions Of Their Role In Personalised News Curation
help研究问题算法厌恶、用户控制与信任校准分配'新闻个性类型'是否能促使用户重新定义自己的新闻消费习惯?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
help研究问题算法厌恶、用户控制与信任校准如何在创意设计中通过灵活框架动态调整AI的参与程度以满足用户需求?CSCW '23Towards Human-Centred AI-Co-Creation: A Three-Level Framework for Effective Collaboration between Human and AI
help研究问题算法厌恶、用户控制与信任校准三层“人-AI共创框架”能否提升用户的创意支持效果,尤其是在雕塑设计领域?CSCW '23Towards Human-Centred AI-Co-Creation: A Three-Level Framework for Effective Collaboration between Human and AI
help研究问题算法厌恶、用户控制与信任校准通过什么方式可以提高用户对AI决策透明度的感知以增强用户信任?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
help研究问题算法厌恶、用户控制与信任校准给予用户对模型预测结果的控制(结果控制)能否有效减少算法厌恶?CHI '23Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control
help研究问题算法厌恶、用户控制与信任校准允许用户选择模型训练方法或变量(过程控制)对算法厌恶有何影响?CHI '23Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control
help研究问题算法厌恶、用户控制与信任校准结果控制与过程控制的组合是否会进一步减少算法厌恶?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
help研究问题算法厌恶、用户控制与信任校准如何通过设计使AI驱动的公共服务(如摄像车)具备可争议性(contestability)?CHI '23Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
help研究问题算法厌恶、用户控制与信任校准用户参与和数据反馈循环如何提升公共AI系统的透明度和可信度?CHI '23Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
help研究问题算法厌恶、用户控制与信任校准在城市治理中,如何将可争议性设计与民主治理机制相结合?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
help研究问题算法厌恶、用户控制与信任校准如何让用户通过自己的交互规则提升对机器学习模型的信任?IUI '22Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules
help研究问题算法厌恶、用户控制与信任校准在交互过程中,网格可视化和文本规则哪种解释方式对用户体验更有效?IUI '22Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules
help研究问题算法厌恶、用户控制与信任校准用户编辑模型规则是否能够提升他们对系统的理解和控制感?IUI '22Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules
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
lightbulb现实痛点算法厌恶、用户控制与信任校准用户常因看到分类错误而失去对机器学习系统的信任。CHI '22How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes
help研究问题算法厌恶、用户控制与信任校准现有的ADHD技术研究中,ADHD定义和框架是否充分考虑了神经多样性视角?CHI '22ADHD and Technology Research -- Investigated by Neurodivergent Readers
help研究问题算法厌恶、用户控制与信任校准ADHD个体在技术研究中通常扮演什么角色,其需求是否得到满足?CHI '22ADHD and Technology Research -- Investigated by Neurodivergent Readers
help研究问题算法厌恶、用户控制与信任校准如何重新定义ADHD技术研究目标,以更好支持ADHD群体?CHI '22ADHD and Technology Research -- Investigated by Neurodivergent Readers
help研究问题算法厌恶、用户控制与信任校准如何设计拼车系统以在时间银行场景下促进司机和乘客之间的信任?CHI '22Trust, Reciprocity, and the Role of Timebanks as Intermediaries: Design Implications for Addressing Healthcare Transportation Barriers
help研究问题算法厌恶、用户控制与信任校准如何设计拼车系统以在时间银行场景下促进司机和乘客之间的互惠?CHI '22Trust, Reciprocity, and the Role of Timebanks as Intermediaries: Design Implications for Addressing Healthcare Transportation Barriers
help研究问题算法厌恶、用户控制与信任校准中介机构在促进拼车系统中信任和互惠方面可能扮演哪些角色?CHI '22Trust, Reciprocity, and the Role of Timebanks as Intermediaries: Design Implications for Addressing Healthcare Transportation Barriers
lightbulb现实痛点算法厌恶、用户控制与信任校准低收入人群因交通问题错过就医,影响健康。CHI '22Trust, Reciprocity, and the Role of Timebanks as Intermediaries: Design Implications for Addressing Healthcare Transportation Barriers
help研究问题算法厌恶、用户控制与信任校准AI和人类专家在伦理决策合作中,用户对它们的信任和依赖有何不同?CHI '22Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making
help研究问题算法厌恶、用户控制与信任校准在伦理决策中,用户如何分配责任给AI、AI开发者以及人类专家?CHI '22Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making
help研究问题算法厌恶、用户控制与信任校准人类在“人类主导”(HITL)与“人类监控”(HOTL)两种AI自主模式下的控制感有何差异?CHI '22Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making
lightbulb现实痛点算法厌恶、用户控制与信任校准用户在伦理决策中难以平衡对AI性能的信任和对道德责任的担忧。CHI '22Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making