Optimization Targets That Mask Process-Level Harm

Clinically grounded benchmark for measuring cognitive atrophy in LLM mental-health support. Built from 1,576 fully human-generated counseling conversations, 15,680 turns, and 42,230 responses from five LLMs. Includes 20-attribute schema developed by three clinical experts, with 5,324 span-grounded reviewer judgments from six trained clinical reviewers. Introduces User-Input Risk Index (UIRI) and Cognitive Atrophy Risk Index (ARI) for auditing model behavior.

Benchmark suite for evaluating mobile CLI agents on everyday user intents beyond GUI scope. Comprises 45 templates across five categories: bulk operations, multi-condition filtering, aggregation, cross-app workflows, and hidden device state. Designed to test mobile agent capabilities where command-line interfaces provide advantages over graphical interfaces. Authors will open-source the suite with agent implementations, oracle solutions, and evaluation infrastructure.

Fully wearable multimodal platform for real-time VR interaction combining A-mode ultrasound and inertial sensing from forearm and upper arm. Integrates end-to-end software framework for real-time acquisition, visualization, and Unity-based VR communication. Achieves 80±6% inter-session accuracy for hand pose estimation and 77±7% for forearm position estimation. Power consumption of 19.9 mW enables over 2.5 days continuous use on 350 mAh LiPo battery.

Design artifact framework extending Collaboration Engineering to embodied drone agents in emergency services. Derived from four field trials and 95 interviews, capturing 44 interaction patterns grouped into 10 meta-patterns. DroneLets capture setup requirements, drone capabilities, environmental constraints, and coordinated human-drone actions. Provides modular framework for designing repeatable, scalable collaboration processes including reconnaissance, communication, and logistical support patterns.

End-to-end interactive system transforming raw tabular data and natural language queries into narrative data-insight videos. Introduces DVSpec declarative specification binding visual and animation elements to data fields. Uses Generate-then-Orchestrate multi-agent architecture generating candidate scenes in parallel with global narrative optimization. Supports three interaction modes and structured provenance-based data Q&A. Evaluated on 109 real-world samples.

Declarative specification for data videos that ensures data fidelity by binding visual and animation elements to underlying data fields through data-driven semantic references. Decouples logic from rendering, enabling transformation of one-way videos into explorable interactive data interfaces. Core component of DataMagic system for generating narrative data-insight videos from tabular data.

Friendship-supportive social media platform for youth designed around three pillars: social understanding (legible norms, intentions, trust, reciprocity, accountability), placeness (spatial and embodied affordances), and identity alignment (authentic, current, plural, interpretable expression). Deployed with 99 youth across the United States and Korea for validation of youth social media design framework centered on friendship building.

Documentation tool for tracking on-site construction adaptations across material lifecycles in circular economy construction. Leverages video documentation and 3D Gaussian Splatting to spatially, temporally, and semantically represent on-site adaptations in relation to designed models. Addresses 'building drift' taxonomy including Tending the Site, Foraging for Fit, Interpreting the Material, Marking Measurements, and Coordinating Across Communities. Developed through ReShelter case study.