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References (62)

[1]

Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective

2025Qiaosi Wang, Xuhui Zhou et al.

[2]

What If Smart Homes Could See Our Homes?: Exploring DIY Smart Home Building Experiences with VLM-Based Camera Sensors

2025Sojeong Yun, Youn-kyung Lim

[3]

On Benchmarking Human-Like Intelligence in Machines

2025Lance Ying, Katherine M. Collins et al.

[4]

Exploring Context-Aware Mental Health Self-Tracking Using Multimodal Smart Speakers in Home Environments

2024Jieun Lim, Youngji Koh et al.

[5]

Cooking With Agents: Designing Context-aware Voice Interaction

2024Razan N. Jaber, Sabrina Zhong et al.

[6]

Embracing Embodied Social Cognition in AI: Moving Away from Computational Theory of Mind

2024Manoj Deshpande, Brian Magerko

[7]

Prototyping with Prompts: Emerging Approaches and Challenges in Generative AI Design for Collaborative Software Teams

2024Hariharan Subramonyam, Divy Thakkar et al.

[8]

Discovering the Right Things to Design with Artificial Intelligence

2024Nur Yildirim

[9]

Affect Recognition, Theory of Mind, and Empathy in Preschool Children with Externalizing Behavior Problems—A Group Comparison and Developmental Psychological Consideration

2023Laura M Watrin-Avino, Franziska J. Forbes et al.

[10]

Creating Design Resources to Scaffold the Ideation of AI Concepts

2023Nur Yildirim, C. Oh et al.

[11]

Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges

2023Qiaosi Wang, Michael A. Madaio et al.

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Reviewing and Reflecting on Smart Home Research from the Human-Centered Perspective

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A Review on Machine Theory of Mind

2023Yuanyuan Mao, Shuang Liu et al.

[14]

Intertwining the social and the cognitive loops: socially enactive cognition for human-compatible interactive systems

2023Sebastian Kahl, S. Kopp

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A systematic review of measures of theory of mind for children

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fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks

2023Steven Moore, Q. Liao et al.

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Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience

2023Q. Liao, Hariharan Subramonyam et al.

[18]

Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks

2023T. Ullman

[19]

Mutual Theory of Mind for Human-AI Communication

2022Qiaosi Wang, Ashok K. Goel

[20]

Social Robots in Service Contexts: Exploring the Rewards and Risks of Personalization and Re-embodiment

2021Samantha Reig, Michal Luria et al.

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References (62)

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