human–computer interaction
PulseAugur coverage of human–computer interaction — every cluster mentioning human–computer interaction across labs, papers, and developer communities, ranked by signal.
9 day(s) with sentiment data
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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…
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Robotic art installations explore adaptive behavior through machine learning and digital evolution
Researchers have developed three robotic art installations that utilize embodied machine learning and digital evolution to create dynamic, adaptive ecosystems. These installations explore the aesthetic potential of real…
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Elsewise tool enhances AI-driven interactive narrative authoring
Researchers have developed Elsewise, a new authoring tool designed to help creators of interactive narratives manage the complexity introduced by generative AI. This tool implements a novel "Bundled Storyline" concept, …
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New framework OpenTI aims to unify table insight extraction research
A new research paper introduces Open Tabular Insight Extraction (OpenTI), a framework designed to unify fragmented research efforts in extracting knowledge from large corpora of tables. The paper formalizes OpenTI by de…
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New MIVAIS platform streamlines mixed-initiative AI visual analytics development
Researchers have developed MIVAIS, a new platform designed to simplify the creation and evaluation of mixed-initiative visual analytics systems. These systems aim to enhance human-AI collaboration by integrating human i…
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GazeFS system enhances gaze interaction with trajectory forecasting
Researchers have developed GazeFS, a novel system designed to improve target-centered gaze interaction by forecasting and stabilizing gaze trajectories. GazeFS analyzes gaze-head history to predict the next target direc…
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Diffusion models generate realistic eye-gaze trajectories for research and biometrics
Researchers have developed new diffusion models for generating realistic eye-gaze trajectories, addressing the challenge of expensive and privacy-constrained data collection. One model focuses on generating raw 2D gaze …
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New AI handover method reconciles system logs and human reports
Researchers have developed a new pipeline for human-AI task handover that reconciles information from both system logs and human reports. This approach creates a shared, typed task-state representation, aligning facts a…
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Generative AI use in student communication poses risks to skill formation and trust
A study of twelve students revealed that generative AI is frequently used to draft professional communications, particularly emails to instructors and administrators where the pressure to appear professional is highest.…
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New SOPHIAS dataset captures student presentations with multimodal sensor data
Researchers have introduced SOPHIAS, a new multimodal dataset designed to capture student oral presentations using various sensors. This 12-hour dataset includes recordings from 65 students at the Autonomous University …
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Maritime autonomous ship safety reviewed: transparency, human factors, and regulation
A comprehensive review of 100 studies on automation transparency for Maritime Autonomous Surface Ships (MASS) highlights key challenges and solutions. The research synthesizes findings on situation awareness, human fact…
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Smart glasses surveyed as unified first-person intelligence platforms
A new survey paper proposes a unified framework for understanding smart glasses as first-person intelligence platforms. The paper highlights the evolution of smart glasses from simple capture devices to integrated syste…
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New Act2Intention Benchmark Advances Proactive Mobile Agents
Researchers have introduced Act2Intention, a new benchmark designed to advance the development of active mobile agents. This framework focuses on inferring user intentions from GUI actions, moving beyond simple reactive…
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AI framework identifies autism biomarkers through dance imitation analysis
Researchers have developed a computational framework to analyze motor signatures in autism, utilizing dance imitation data. By employing Dynamic Time Warping and introducing the Social Context Sensitivity Index (SCSI), …
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AI journaling nudges most effective for solitary behaviors, study finds
A study analyzing 369 journal entries from an eight-week study found that AI journaling tools are more effective at prompting behavioral changes when those behaviors are independent of other people. Behaviors involving …
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Study: XAI explanation correctness impacts human understanding, but not always
A new study published on arXiv investigates the relationship between the functional correctness of explainable AI (XAI) methods and human understanding. Researchers conducted a user study with 200 participants, manipula…