collaborators

20 papers

cs.HC2026

Graphing the Everyday: A Neurosymbolic Approach to Eliciting Routines for Just-In-Time Adaptive Interventions

Shakyani Jayasiriwardene, Blake Mountford, Meican Ma +6

Just-In-Time Adaptive Interventions (JITAIs) increasingly rely on conversational agents to elicit user routines, yet translating fluid human dialogue into rigid schedule data remai…

cs.HC2026

How College Students Use AI to Navigate Course Readings: Evidence from an Eight-Week Study

Yue Fu, Joel Wester, Niels Van Berkel +1

The paper reports an eight‑week study of 15 college students using AI chatbots to support course readings, analyzing 838 prompts to examine how different cognitive prompt types (de…

cs.HC2026

Understanding, Challenging, and Demystifying Perceptions of Gig Worker Vulnerabilities

Sander de Jong, Jane Hsieh, Tzu-Sheng Kuo +3

Across service domains, platform-based gig workers often face a wide range of severe yet hidden vulnerabilities, including opaque pay practices, illusions of flexibility, health an…

cs.HC2026

Who Gets to Interpret the Workout? User Tensions with AI-Generated Fitness Feedback

Sujay Shalawadi, Joel Wester, Samuel Rhys Cox +1

Fitness tracking platforms increasingly integrate generative AI to interpret activity data, such as Strava's Athlete Intelligence. These integrations raise questions about how athl…

cs.HC2026

PlantWhisperer: Designing Conversational AI to Support Plant Care

Daniel Mejer Christensen, Katja Stougård Jørgensen, Josefine Palsgaard Wyrtz +3

Research in Human-Computer Interaction (HCI) has shown that caring for others, including both humans (e.g., close friends) and computers (e.g., Tamagotchi), can have a positive eff…

cs.HC2026

Embodied AI Agents for Team Collaboration in Co-located Blue-Collar Work

Kaisa Vaananen, Niels van Berkel, Donald McMillan +1

Blue-collar work is often highly collaborative, embodied, and situated in shared physical environments, yet most research on collaborative AI has focused on white-collar work. This…