WriteFlow is a voice-based AI system that scaffolds metacognitive regulation in academic writing by enabling iterative goal refinement, goal-text alignment, and evaluation of goal fulfillment, as demonstrated in user studies.
Mixed citations
In: Proceedings of the 2023 ACM Designing Interactive Systems Conference
Mixed citation behavior. Most common role is background (67%).
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67% of classified citations
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Queer artists largely refuse and resist generative AI, seeing it as anti-relational and disruptive to the community-oriented, identity-forming nature of their art practices, with only limited acceptance for surreal image generation.
A new toolkit with cards and maps enables AI designers to juxtapose values and harms in early concept stages, shown valuable in designer surveys and interviews.
Designers using generative AI for concept envisioning engage in reciprocal reflection-in-action that surfaces multi-level value tensions and prioritizes harm recognition over positive value articulation.
Southeast Asian immigrant mothers in Taiwan navigate structural marginalization to foster children's learning and transmit cultural values, yielding justice-oriented design implications for socio-technical systems at multiple levels.
AI/ML weather tools face integration challenges from mismatched 'regimes of scale' in how data and models are organized compared to traditional meteorology practices.
XARP provides a WebSocket-based remote-procedure system that lets Python code and AI agents control Unity XR clients, with benchmarks and user studies showing faster iteration than conventional XR workflows.
citing papers explorer
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From Intention to Text: AI-Supported Goal Setting in Academic Writing
WriteFlow is a voice-based AI system that scaffolds metacognitive regulation in academic writing by enabling iterative goal refinement, goal-text alignment, and evaluation of goal fulfillment, as demonstrated in user studies.
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"I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI
Queer artists largely refuse and resist generative AI, seeing it as anti-relational and disruptive to the community-oriented, identity-forming nature of their art practices, with only limited acceptance for surreal image generation.
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Developing an AI Concept Envisioning Toolkit to Support Reflective Juxtaposition of Values and Harms
A new toolkit with cards and maps enables AI designers to juxtapose values and harms in early concept stages, shown valuable in designer surveys and interviews.
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How Designers Envision Value-Oriented AI Design Concepts with Generative AI
Designers using generative AI for concept envisioning engage in reciprocal reflection-in-action that surfaces multi-level value tensions and prioritizes harm recognition over positive value articulation.
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Navigating Marginalization: Toward Justice-Oriented Socio-Technical Design for Parent-Child Learning among Southeast Asian Immigrant Mothers in Taiwan
Southeast Asian immigrant mothers in Taiwan navigate structural marginalization to foster children's learning and transmit cultural values, yielding justice-oriented design implications for socio-technical systems at multiple levels.
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Regimes of Scale in AI Meteorology
AI/ML weather tools face integration challenges from mismatched 'regimes of scale' in how data and models are organized compared to traditional meteorology practices.
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XARP Tools: An Extended Reality Platform for Humans and AI Agents
XARP provides a WebSocket-based remote-procedure system that lets Python code and AI agents control Unity XR clients, with benchmarks and user studies showing faster iteration than conventional XR workflows.