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Do we have the knowledge we need? Rethinking human-AI decision-making in corporations Rethinking Scaffolding in LLM Tutors: The Interactional Mismatch Between Benchmarks and Real-World Deployments Do Large Language Models Have Emotions? Sensory Restoration via Brain-Computer Interfaces: A Unified 2 x 2 Framework and Convergence Roadmap Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products SCAN: A Decision-Making Framework for Effective Task Allocation with Generative AI SkillVetBench: LLM-as-Judge for Multi-Dimensional Security Risk Evaluation in Open-Source LLM Agent Skills Orchestrated Reality: From Role-Play to Living, Playable Game Worlds -- LLM-Driven World Simulation as a Parameterized-Action POMDP Using AI in engineering education: a balancing act, driven by clear purpose Contaminated Collaboration: Measuring Gender Bias Transfer in LLM-Assisted Student Writing Bridging the Usability Gap: Lessons from Interpreting Studies for Machine Interpreting Design City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery Cloze: An Open Research Platform for Studying Human-AI Conversations in Mental Health Contexts Automated Gaze-based Behavioral Segmentation and Temporal Representation for Bridge Inspection in Unconstrained 3D Environments "Stuck in a Spiral": Shame and Guilt as Social Regulators of AI Use in Computing Education Graph of Trace: Visualizing Execution Traces of Scientific Agent Co-Creating Buildable and Open Social Robot Study Companions with University Students A Bilateral Teleoperation Framework for Dexterous Manipulation "ChatGPT, help me draft a breakup text": The Covert Triad and Articulation Labor in AI-Assisted Romantic Communication A Scalability Analysis of Quantitative Confidence Assessment Methods for Assurance Cases What do you mean by human-AI collaboration: Prerequisite functions and the affordances needed to achieve it A Prototypical Decision-Support Tool for Household Energy Management: A New Zealand Case Study Participatory Design for Assistive Mobility in Indian Homes, Grounded in Lived Experience "OpenBloom": A Stigma-Sensitive LLM Design Probe for Reproductive Well-Being If These Walls Could Talk: Critical Play with Large Language Models in Museums Process-Oriented Evaluation of AI-Assisted Scientific Writing Challenging Partisan Expectations Reduces Political Polarization Impedance MPC with Patient-Torque Estimation for Knee Rehabilitation Exoskeletons The Missing Layer: Why EdTech Needs Design-Time Generative UI, Not Just Runtime Personalization Are LLM-based Chatbots Good Enough to Support Computer Science Students in Multiple-Choice Exercises? AI as a Sparring Partner -- an HCAI Approach to Promote Human Capabilities GraphStory: Collaborative Story Writing through Event-Based Narrative Editing Patient-centered visualization of multistage cancer treatment trajectories Mapping the Design Space for Youth Social Media: A Framework Centered on Friendship Building A comparison of human and LLM-simulated participants in a writing style task From 911 to Hospital: Challenges and Opportunities for AI Integration in Emergency Medical Services Impedance MPC for Physical Human-Robot Interaction: Predictive Disturbance Rejection with Joint-Limit Safety
Beyond Usability: A UX Case Study on Using "Withdrawal Design" to Challenge Engagement Metrics in Social Robotics
[Submitted on 15 Jun 2026] · 2026-06-16 · via cs.HC updates on arXiv.org

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Abstract:Social robots for children with autism are often evaluated through engagement and interaction quality, assuming the robot acts as a social scaffold. We report a mixed-methods "withdrawal" study that tests a harder question: what changes when the robot is removed. In an 8-week home-based randomized controlled trial (N=40), children either retained a consumer social robot (Qrobot) or had it withdrawn after initial use. Quantitatively, continued access reduced anxiety (SCARED/RCADS), yet was associated with lower parent-reported social motivation and weaker gains in emotion recognition (SMS/RMET) compared to withdrawal. Interviews with guardians contextualized this divergence: removal sometimes prompted children to seek human interaction, while continued use could keep social behavior siloed within the child-robot dyad, despite exceptionally high usability (SUS). We synthesize a UXR point of view: for vulnerable users, "engagement" can mask ecological downsides. Success should be judged not by retention, but by designed separation that bridges back to human relationships.

Submission history

From: Yibo Meng [view email] [via Huseyin Dogan as proxy]
[v1] Mon, 15 Jun 2026 09:10:40 UTC (1,036 KB)