239 papers
PriorWeaver is an interactive visualization system that simplifies Bayesian prior elicitation for novice analysts by allowing them to iteratively construct and refine datasets reflecting their beliefs, resulting in priors that are more aligned with their expectations compared to traditional methods.
This paper reveals a significant performance disparity where Large Language Models excel at generation tasks but struggle with evaluation, often producing unfaithful judgments even in areas where they lack competence, thereby challenging the assumption that generative proficiency guarantees evaluative reliability.
This paper introduces "The Pen," an ear-worn wearable AI device designed for episodic, on-demand cognitive assistance that prioritizes user agency, social comfort, and privacy through intentional activation boundaries and local processing.
This paper proposes and validates a set of 16 design guidelines for creating intuitive VR avatars that effectively communicate augmented capabilities and their activation methods, demonstrating that these guidelines significantly improve the clarity and intuitiveness of user interactions across various applications.
This exploratory study with 12 elementary students demonstrates that socially assistive robots can effectively facilitate peer mediation role-play for conflict resolution, yielding positive student feedback and revealing significant correlations between trait and learning measures in the robot condition despite the lack of statistical differences compared to a tablet-only control.
This paper introduces a skill-adaptive ghost instructor in VR piano training that dynamically adjusts its opacity based on learner performance, demonstrating through a user study that this approach improves pitch and fingering accuracy while reducing over-reliance on cues compared to static guidance.
This paper introduces XIA, an explainable intelligent assessment platform that uses visualized cognitive diagnostic reasoning to help pre-service teachers shift from opaque score-based judgments to evidence-based reasoning, thereby enhancing their assessment literacy through improved reflection and self-regulation.
This paper introduces ProxyMe, a VR prototype that explores the concept of "avatar self-extension" by allowing users to embody AI-modified avatars, thereby investigating how AI-mediated speech augmentation influences perceptions of agency, authorship, and self-identification.
This paper proposes a hierarchical resource-rational framework that unifies eye movement control and comprehension during reading by positing that the brain optimizes these processes across nested time scales to maximize understanding while minimizing cognitive and temporal costs, a model that successfully replicates a wide range of human reading behaviors.
This paper presents and validates an adaptive mixed reality notification system that dynamically adjusts message placement based on urgency levels, demonstrating through user studies that this approach significantly reduces mental workload and frustration while maintaining effective awareness compared to traditional centralized displays.
This paper presents a user study demonstrating that human perceptions of fairness in AI systems are shaped not just by statistical parity or outcomes, but significantly by beliefs about the underlying causes of disparities, specifically how infra-marginality and data distribution differences influence judgments in medical decision-making scenarios.
This paper presents a framework of 16 challenges faced in synchronous and remote collaborative visualization, derived from the insights of 29 international experts across five key collaborative activities and organized to guide future research in technological choices, social factors, AI assistance, and evaluation.
This paper introduces "Glass Chirolytics," a system that overlays visualization and interface widgets onto mirrored video feeds to enable face-to-face remote collaborators to simultaneously manipulate data using bimanual gestures, thereby enhancing feelings of presence and mutual awareness of analytical intent compared to traditional screen-sharing methods.
Through design workshops with 15 UX designers, this paper argues that AI adoption is not merely an efficiency-driven process but a complex negotiation of values across individual, team, and organizational scales that reconfigures roles, power dynamics, and worker agency.
This paper presents a closed-loop CPR training glove that integrates high-resolution tactile sensing and vibrotactile feedback to enable self-directed practice by accurately estimating compression metrics and providing immediate haptic guidance, thereby reducing reliance on external visual displays.
This paper presents a privacy-preserving vision-language framework for medical interpreter robots that leverages locally deployed open-source LLMs and a novel annotated dataset to accurately detect clinical speech acts and generate human-like, appropriate robotic gestures.
This paper argues that current generative AI chatbots' risk-avoidant responses to mental health crises can harm users and proposes shifting toward empowerment-oriented design principles that enable AI to act as a supportive bridge for de-escalation and connection to professional care.
This paper introduces the RFM-HRI dataset, a multimodal collection of human-robot interactions in medical crash-cart settings that systematically analyzes user verbal and non-verbal reactions to various communication failures and their preferences for recovery strategies to improve safety-critical HRI systems.
CoEditor++ is a training-free, cognitively structured framework that leverages a two-stage "what-to-edit" and "how-to-edit" reasoning process with self-reflection to achieve state-of-the-art, visually consistent, and interpretable instruction-based image editing using only open-source components.
This scoping review maps the landscape of wearable and ambient sensing technologies for dementia care from 2015 to 2025, proposing five key human-centered implementation principles to guide the development of ethical, scalable, and autonomy-enhancing monitoring systems.