162 citations · 237 across the 19 of their papers we have counts for
21 papers
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…
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…
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…
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…
How College Students Use AI to Navigate Course Readings: Evidence from an Eight-Week Study
Yue Fu, Joel Wester, Niels Van Berkel +1
College students increasingly use AI chatbots to support academic reading, yet we lack granular understanding of how these interactions shape their reading experience and cognitive…
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…
Confirmation Bias as a Cognitive Resource in LLM-Supported Deliberation
Sander de Jong, Rune Møberg Jacobsen, Niels van Berkel
Large language models (LLMs) are increasingly used in group decision-making, but their influence risks fostering conformity and reducing epistemic vigilance. Drawing on the Argumen…
Reflecting Human Values in XAI: Emotional and Reflective Benefits in Creativity Support Tools
Samuel Rhys Cox, Helena Bøjer Djernæs, Niels van Berkel
In this workshop paper, we discuss the potential for measures of user-centric benefits (such as emotional well-being) that could be explored when evaluating explainable AI (XAI) sy…
Distributed Cognition for AI-supported Remote Operations: Challenges and Research Directions
Rune Møberg Jacobsen, Joel Wester, Helena Bøjer Djernæs +1
This paper investigates the impact of artificial intelligence integration on remote operations, emphasising its influence on both distributed and team cognition. As remote operatio…
Speech Command + Speech Emotion: Exploring Emotional Speech Commands as a Compound and Playful Modality
Ilhan Aslan, Timothy Merritt, Stine S. Johansen +1
In an era of human-computer interaction with increasingly agentic AI systems capable of connecting with users conversationally, speech is an important modality for commanding agent…
Towards Sustainable Creativity Support: An Exploratory Study on Prompt Based Image Generation
Daniel Hove Paludan, Julie Fredsgård, Kasper Patrick Bährentz +2
Creativity is a valuable human skill that has long been augmented through both analog and digital tools. Recent progress in generative AI, such as image generation, provides a disr…
Chatbots for Data Collection in Surveys: A Comparison of Four Theory-Based Interview Probes
Rune M. Jacobsen, Samuel Rhys Cox, Carla F. Griggio +1
Surveys are a widespread method for collecting data at scale, but their rigid structure often limits the depth of qualitative insights obtained. While interviews naturally yield ri…
Speejis: Enhancing User Experience of Mobile Voice Messaging with Automatic Visual Speech Emotion Cues
Ilhan Aslan, Carla F. Griggio, Henning Pohl +2
Mobile messaging apps offer an increasing range of emotional expressions, such as emojis to help users manually augment their texting experiences. Accessibility of such augmentatio…
From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go
Kavindu Ravishan, Kavindu Perera, Dániel Szabó +5
Online reviews help people make better decisions. Review platforms usually depend on typed input, where leaving a good review requires significant effort because users must careful…
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +2
How can we ensure that Ubiquitous Computing (UbiComp) research outcomes are both ethical and fair? While fairness in machine learning (ML) has gained traction in recent years, fair…
"If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support
Anne Kathrine Petersen Bach, Trine Munch Nørgaard, Jens Christian Brok +1
Clinical needs and technological advances have resulted in increased use of Artificial Intelligence (AI) in clinical decision support. However, such support can introduce new and a…
UbiNIRS: A Software Framework for Miniaturized NIRS-based Applications
Weiwei Jiang, Zhanna Sarsenbayeva, Difeng Yu +4
We present UbiNIRS, a software framework for rapid development and deployment of applications using miniaturized near-infrared spectroscopy (NIRS). NIRS is an emerging material sen…
Understanding Developers Well-Being and Productivity: a 2-year Longitudinal Analysis during the COVID-19 Pandemic
Daniel Russo, Paul H. P. Hanel, Niels van Berkel
The COVID-19 pandemic has brought significant and enduring shifts in various aspects of life, including increased flexibility in work arrangements. In a longitudinal study, spannin…
Satisfaction and Performance of Software Developers during Enforced Work from Home in the COVID-19 Pandemic
Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel +1
Following the onset of the COVID-19 pandemic and subsequent lockdowns, the daily lives of software engineers were heavily disrupted as they were abruptly forced to work remotely fr…
The Daily Life of Software Engineers during the COVID-19 Pandemic
Daniel Russo, Paul P. H. Hanel, Seraphina Altnickel +1
Following the onset of the COVID-19 pandemic and subsequent lockdowns, software engineers' daily life was disrupted and abruptly forced into remote working from home. This change d…
Predictors of Well-being and Productivity among Software Professionals during the COVID-19 Pandemic -- A Longitudinal Study
Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel +1
The COVID-19 pandemic has forced governments worldwide to impose movement restrictions on their citizens. Although critical to reducing the virus' reproduction rate, these restrict…