16 citations · 18 across the 13 of their papers we have counts for
14 papers
Conceptualising an Initial Design Space for Guidance in Digital Physical Activity Support
Faith Young, Markus Tatzgern, Alexander Meschtscherjakov +1
Providing guidance is frequently referenced as a key capability of digital health interventions targeting physical activity, yet the term remains poorly defined and inconsistently…
Designing and Evaluating Granular Consent for Data Sharing in Cardiac Disease Prevention
Pavithren V S Pakianathan, Rania Islambouli, Magenta Jade Shipsey +2
Dynamic consent can promise end users with greater control, but little is known about how older adults with chronic conditions navigate the tradeoff between control and burden in g…
Designing for the Moment: How One-Minute Interventions Fit or Falter Across Domains
Zahra Hassanzadeh, Anne Hsu, Rachel Kornfield +8
This paper explores the design space for one-minute digital interventions that prompt immediate action without onboarding or sensing. By embracing Fogg's Behavior Model and four de…
AktivTalk: Digitizing the Talk Test for Voice-Based Exercise Intensity Self-Assessment and Exploring Automated Classification from Speech
Rania Islambouli, Laura Geiger, Daniela Wurhofer +3
Monitoring exercise intensity is critical for safe and effective physical activity, particularly for individuals with cardiovascular disease, where overexertion can pose serious ri…
Exploring Self-Tracking Practices of Older Adults with CVD to Inform the Design of LLM-Enabled Health Data Sensemaking
Duosi Dai, Pavithren V S Pakianathan, Gunnar Treff +3
Wearables and mobile health applications are increasingly adopted for self-management of chronic illnesses; yet the data feels overwhelming for older adults with cardiovascular dis…
Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions
Dominik P. Hofer, Haochen Song, Rania Islambouli +5
Behaviour Change Techniques (BCTs) are central to digital health interventions, yet selecting and delivering effective techniques remains challenging. Contextual bandits enable sta…
Personality as Relational Infrastructure: User Perceptions of Personality-Trait-Infused LLM Messaging
Dominik P. Hofer, David Haag, Rania Islambouli +1
Digital behaviour change systems increasingly rely on repeated, system-initiated messages to support users in everyday contexts. LLMs enable these messages to be personalised consi…
Exploring AI-Augmented Sensemaking of Patient-Generated Health Data: A Mixed-Method Study with Healthcare Professionals in Cardiac Risk Reduction
Pavithren V S Pakianathan, Rania Islambouli, Diogo Branco +3
Individuals are increasingly generating substantial personal health and lifestyle data, e.g. through wearables and smartphones. While such data could transform preventative care, i…
Exploring Human-AI Interaction with Patient-Generated Health Data Sensemaking for Cardiac Risk Reduction
Pavithren V S Pakianathan, Rania Islambouli, Hannah McGowan +3
Patient-generated health data (PGHD) allows healthcare professionals to have a holistic and objective view of their patients. However, its integration in cardiac risk reduction rem…
Towards Data-Enabled Physical Activity Planning: An Exploratory Study of HCP Perspectives On The Integration Of Patient-Generated Health Data
Pavithren V S Pakianathan, Hannah McGowan, Isabel Höppchen +6
Physical activity planning is an essential part of cardiovascular rehabilitation. Through a two-part formative design exploration, we investigated integrating patient-generated hea…
Towards a Real-Time Warning System for Detecting Inaccuracies in Photoplethysmography-Based Heart Rate Measurements in Wearable Devices
Rania Islmabouli, Marlene Brunner, Devender Kumar +6
Wearable devices with photoplethysmography (PPG) sensors are widely used to monitor heart rate (HR), yet often suffer from accuracy issues. However, users typically do not receive…
Micro-Health Interventions: Exploring Design Strategies for 1-Minute Interventions as a Gateway to Healthy Habits
Zahra Hassanzadeh, David Haag, Lydia Chilton +3
One-minute behavior change interventions might seem too brief to matter. Could something so short really help people build healthier routines? This work explores this question thro…
Tailored Behavior-Change Messaging for Physical Activity: Integrating Contextual Bandits and Large Language Models
Haochen Song, Dominik Hofer, Rania Islambouli +6
Contextual multi-armed bandit (cMAB) algorithms offer a promising framework for adapting behavioral interventions to individuals over time. However, cMABs often require large sampl…
The Last JITAI? Exploring Large Language Models for Issuing Just-in-Time Adaptive Interventions: Fostering Physical Activity in a Conceptual Cardiac Rehabilitation Setting
David Haag, Devender Kumar, Sebastian Gruber +7
We evaluated the viability of using Large Language Models (LLMs) to trigger and personalize content in Just-in-Time Adaptive Interventions (JITAIs) in digital health. As an interac…