human–computer interaction
PulseAugur coverage of human–computer interaction — every cluster mentioning human–computer interaction across labs, papers, and developer communities, ranked by signal.
- instance of Influence Flower 70%
- instance of alphaXiv 60%
- authored by ScienceCast 60%
- authored by Gotit.pub 60%
- instance of Gotit.pub 60%
- instance of CORE Recommender 60%
- instance of CatalyzeX Code Finder for Papers 60%
- used by CORE Recommender 60%
- instance of Litmaps 60%
- instance of scite Smart Citations 60%
- affiliated with alphaXiv 50%
- instance of ScienceCast 50%
6 day(s) with sentiment data
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EvoDesign framework enables editable diagram creation with evolving expertise
Researchers have developed EvoDesign, an agentic framework for creating editable diagrams. This system uses coordinated agents to generate a diagram manifest, which is then rendered and critiqued in a verification envir…
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LLM "memory shortcuts" can invalidate annotations when text evidence is missing
A new research paper explores the phenomenon of "memory shortcuts" in large language models (LLMs) when annotating text. The study found that while LLMs generally do not substitute their existing knowledge for textual e…
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Generative AI's impact on human cognitive capital explored in new review
A new review paper published on arXiv explores the concept of "cognitive capital" in the context of generative AI's increasing integration into knowledge work. The paper distinguishes between the capabilities of human-A…
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New algorithm MoViD uses photonic principles for real-time video motion detection
A new algorithm called MoViD (Motion estimation via Virtual dispersion and phase Detection) has been developed, inspired by photonic time stretch technology. This physics-based approach treats video pixels as optical ti…
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New framework proposes neuroadaptive interfaces for personalized communication support
Researchers have proposed a framework for creating neuroadaptive communication interfaces that can personalize speech and language support for individual users. This system aims to adapt language presentation based on a…
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Robotics and AI to enhance aged care: challenges and solutions
A new chapter published on arXiv explores the integration of robotic systems and ambient intelligence to improve care for older adults in residential and private homes. It frames these settings as challenging environmen…
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New system improves AI-generated programming feedback validation
Researchers have developed ValiAssist, a system designed to help instructors validate AI-generated programming feedback more effectively. This system uses a demonstration-based approach, inferring validation logic from …
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Indian students navigate AI in education and job placements · 2 sources tracked
A new study examines how engineering students in India are preparing for a job market increasingly shaped by generative AI, despite educational and placement systems that largely exclude AI tools. Researchers interviewe…
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New method integrates feature understandability into AI explanations
A new study published on arXiv explores integrating feature understandability into feature selection for tabular data explanations. Researchers collected understandability scores for features and developed an algorithm …
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AI's impact on selfhood explored in new HCI review
A new scoping review published on arXiv analyzes 102 papers to explore how artificial intelligence impacts the understanding and experience of the self. The review defines the 'AI-mediated self' as a conceptual framewor…
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New benchmarks aim to measure and improve LLM creativity
Two new research papers propose novel methods for evaluating the creativity of large language models (LLMs). The first paper introduces a framework focusing on long-tail performance, suggesting that creativity is best m…
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Artifact removal in EDA data fails to improve VR balance task classification
A new study published on arXiv explores the effectiveness of artifact removal techniques in electrodermal activity (EDA) data for a virtual reality balance task. Researchers found that while artifact removal improved wa…
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AI safety for youth: HCI research lacks tested countermeasures
A new paper published on arXiv systematically reviews 100 empirical HCI studies concerning AI safety for youth. The research identifies a gap in the literature regarding the comprehensive understanding of AI risks for y…
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New framework proposed for human-AI hybrid reasoning systems
A new framework for human-centered hybrid reasoning systems has been proposed, aiming to enhance human intelligence by integrating AI capabilities with human guidance. This framework synthesizes established strategies f…
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New framework ContextXR enables systematic evaluation of context-aware XR interfaces
Researchers have developed ContextXR, a new benchmarking framework designed to systematically evaluate context-aware interfaces for extended reality (XR) systems. This framework represents XR applications as graphs of f…
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New research designs interventions to improve AI metacognitive monitoring
A new research paper explores methods to improve how users monitor their own understanding and the reliability of AI assistants like ChatGPT. The study proposes a design space for interventions, categorizing them by tim…
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Proposal for Intelligent Interaction Techniques (IIxTs) in AI Interfaces
A new proposal outlines the development of Intelligent Interaction Techniques (IIxTs) to enhance user interfaces beyond current chat-based AI interactions. The research suggests creating more adaptable interaction compo…
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Speech AI agenda calls for cross-community synthesis
A new position paper proposes a unified agenda for Speech AI, highlighting the disconnect between technical NLP and sociotechnical HCI communities. The paper argues that current Speech AI systems have an incomplete unde…
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Study reveals design challenges for AI companions
A new study published on arXiv explores the challenges of designing AI companions, which are conversational agents focused on emotional connection rather than instrumental tasks. The research identifies nine design prin…
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New policy optimizes proactive agent communication in self-driving cars
Researchers have developed a new communication policy called When2Talk for proactive in-car agents in automated vehicles. This policy aims to optimize when these agents should communicate with passengers about vehicle b…