output
20022026
most citedDeep Learning for Audio Signal Processing

859 citations

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21 papers · 1 filter

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.HC20261 cited

Touching Emotions, Smelling Shapes: Exploring Tactile, Olfactory and Emotional Cross-sensory Correspondences in Preschool Aged Children

Tegan Roberts-Morgan, Min S. Li, Priscilla Lo +3

The use of a wide range of sensory modalities is increasingly central to technologies for learning, communication, and affective regulation. During the preschool years, sensory int…

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.HC20261 cited

Grand Challenges around Designing Computers' Control Over Our Bodies

Florian 'Floyd' Mueller, Nadia Bianchi-Berthouze, Misha Sra +21

Advances in emerging technologies, such as on-body mechanical actuators and electrical muscle stimulation, have allowed computers to take control over our bodies. This presents opp…

cs.HC2026

DataCrumb: A Physical Probe for Reflections on Background Web Tracking

Sujay Shalawadi, Katrina Hvítklett, Anna Stentoft Ries +2

Cookie banners and privacy settings attempt to give users a sense of control over how their personal data is collected and used, but background tracking of personal information oft…

cs.HC20261 cited

Chaplains' Reflections on the Design and Usage of AI for Conversational Care

Joel Wester, Samuel Rhys Cox, Henning Pohl +1

Despite growing recognition that responsible AI requires domain knowledge, current work on conversational AI primarily draws on clinical expertise that prioritises diagnosis and in…