234 papers
This paper analyzes eight real-world AI deployments across seven non-Western countries to identify six key contextual factors and three influencing dimensions, ultimately proposing 12 guidelines for designing culturally aligned, equitable, and safe AI systems through deep collaboration between developers and domain experts.
This study involving 72 participants across three languages demonstrates that while nominal groups serve as a crucial benchmark for evaluating collaborative virtual environments, 3D graph representations in mixed reality do not inherently yield better collaborative problem-solving outcomes than individual performance.
This paper introduces "CVDLoss," a novel metric for evaluating color accessibility in diffusion-based image generation, and demonstrates that current models struggle to reliably respond to accessibility-focused prompts despite the metric's sensitivity to structural detail changes.
This paper argues that commercial videogames serve as a powerful, underutilized research environment at the intersection of human-computer interaction and cognitive science, offering ecologically valid contexts to study perception, attention, and executive functioning through a systematic framework that maps game affordances to cognitive demands.
This paper proposes a large language model-driven method for generating dynamic, semantically aligned speech and gestures for pedagogical agents in virtual reality, demonstrating through user experience experiments that such multimodal expressions significantly enhance learning effectiveness, engagement, and social presence while reducing fatigue and boredom.
This paper introduces PixelConfig, a framework for reverse-engineering Meta Pixel configurations, which reveals that default settings drive widespread adoption of activity and identity tracking features capable of capturing sensitive health data, while existing tracking restriction mechanisms offer limited practical protection.
The paper presents *FungiSync*, a multi-person mixed reality experience that translates the symbiotic interdependence of mycorrhizal networks into an embodied ritual where participants' individual digital perceptual worlds entangle through physical touch, fostering a "fungal epistemic" perspective that critiques accelerated individualism.
This paper investigates how end-to-end latency impacts interaction fluency and social presence in VR conferencing compared to traditional video conferencing through subjective experiments, aiming to clarify the underlying perceptual and cognitive mechanisms to guide system optimization.
This study analyzes 122,000 Reddit conversations to reveal that AI literacy in creative communities is primarily practice-driven and event-responsive, challenging top-down frameworks by showing how creators organically prioritize tool usage over ethical discourse except during major AI milestones.
This study of 70 older adults reveals that while high-agreeableness in LLM-based voice assistants generally enhances trust and likability, the preference for warmth over clarity shifts depending on the context (routine vs. emergency) and the user's own personality, highlighting the need for adaptive, personalized AI explanations.
This study involving 22 volunteers found that the frequency of cheating during simulated online exams was identical between Virtual Reality and traditional laptop-based testing environments.
This study investigates how varying degrees of interactivity in mobile augmented reality applications influence both user experience and social acceptability, revealing a complex relationship that necessitates a balanced design approach to ensure seamless integration into everyday social environments.
This paper examines the opportunities and challenges of integrating Virtual and Augmented Reality into public language education, finding that while these technologies boost motivation and contextual learning, their effective implementation requires overcoming technical barriers, cognitive overload, and curriculum alignment issues through improved design, infrastructure, and teacher training.
This study demonstrates that in noisy dyadic conversations, speakers adapt by increasing hand-gesture complexity and speech volume while listeners enhance backchanneling, with background noise also modulating head and trunk movements and slightly reducing hand-speech synchrony.
This paper proposes preliminary design principles for GenAI-augmented Group Awareness Tools that utilize implicit visualizations to trigger cognitive conflict and autonomous elaboration, thereby mitigating over-reliance on AI and fostering independent sensemaking in collaborative work and learning.
This paper proposes preliminary design principles for GenAI-augmented Group Awareness Tools that leverage established mechanisms to foster autonomous socially shared metacognition in collaborative settings while mitigating the risk of over-reliance on AI-generated instructions.
This paper proposes the H3LIX Decentralized Frontier Model Architecture, a distributed AI framework that enables privacy-preserving collective learning and sustainable scaling by aggregating locally generated synthetic reasoning signals into a shared Collective Context Field rather than relying on centralized model retraining.
This study investigates cross-sensory correspondences between touch, smell, and emotion in 26 preschool-aged children (2–4 years) through playful tasks, revealing significant associations and underlying strategies that inform design guidelines and methods for understanding early childhood sensory cognition.
This study reveals that the impact of LLMs on critical thinking is fundamentally shaped by time constraints, where early or continuous access enhances performance under time pressure but impairs it when sufficient time is available, whereas delayed or no access yields the opposite effect.
This paper presents NaviNote, a voice-based system that combines high-precision visual localization with an agentic architecture to enable blind and low vision users to author in-situ spatial annotations and navigate unfamiliar environments with greater accuracy.