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Increasing evidence has shown that theory-based health behavior change interventions are more effective than non-theory-based ones. However, only a few segments of relevant studies were theory-based, especially the studies conducted by…

Human-Computer Interaction · Computer Science 2017-12-08 Yunlong Wang , Ahmed Fadhil , Jan-Philipp Lange , Harald Reiterer

Digital Behavior Change Interventions (DBCIs) are supporting development of new health behaviors. Evaluating their effectiveness is crucial for their improvement and understanding of success factors. However, comprehensive guidance for…

Human-Computer Interaction · Computer Science 2024-04-22 Aneta Lisowska , Szymon Wilk , Laura Locati , Mimma Rizzo , Lucia Sacchi , Silvana Quaglini , Matteo Terzaghi , Valentina Tibollo , Mor Peleg

Digital health interventions have been emerging in the last decade. Due to their interdisciplinary nature, digital health interventions are guided and influenced by theories (e.g., behavioral theories, behavior change technologies,…

Human-Computer Interaction · Computer Science 2018-10-23 Yunlong Wang , Ahmed Fadhil , Jan-Philipp Lange , Harald Reiterer

User engagement is crucial for the efficacy of digital health and mental health interventions, yet existing design strategies for improving engagement remain heterogeneous, context-specific, and insufficiently grounded in motivational…

Human-Computer Interaction · Computer Science 2026-05-19 Zheyuan Zhang , Rafael A. Calvo

Co-design is an effective method for designing software, but implementing it within the clinical setting comes with a set of unique challenges. This makes recruitment and engagement of participants difficult, which has been demonstrated in…

Human-Computer Interaction · Computer Science 2023-09-01 Marceli Wac , Raul Santos-Rodriguez , Chris McWilliams , Christopher Bourdeaux

We are developing a virtual coaching system that helps patients adhere to behavior change interventions (BCI). Our proposed system predicts whether a patient will perform the targeted behaviour and uses counterfactual examples with feature…

Machine Learning · Computer Science 2023-06-08 Aneta Lisowska , Szymon Wilk , Mor Peleg

Mobile health (mHealth) applications are a powerful medium for providing behavioral interventions, and systematic reviews suggest that theory-based interventions are more effective. However, how exactly theoretical concepts should be…

Most prostate cancer survivors are confronted with disease-related and treatment-related side effects that impact their quality of life. A tool that combines specific physical activity coaching with the promotion of a healthy lifestyle and…

Promoting healthy lifestyle behaviors remains a major public health concern, particularly due to their crucial role in preventing chronic conditions such as cancer, heart disease, and type 2 diabetes. Mobile health applications present a…

Machine Learning · Computer Science 2024-05-24 Aishwarya Mandyam , Matthew Jörke , William Denton , Barbara E. Engelhardt , Emma Brunskill

With societal challenges, including but not limited to human development, equity, social justice, and climate change, societal-level digital transformation (SDT) is of imminent relevance and theoretical interest. While building on…

Computers and Society · Computer Science 2023-11-16 Jorn Braa , Sundeep Sahay , Eric Monteiro

Smart and IoT-enabled mobile devices have the potential to enhance healthcare services for both patients and healthcare providers. Human computer interaction design is key to realizing a useful and usable connection between the users and…

Human-Computer Interaction · Computer Science 2020-02-26 Pu Liu , Sidney Fels , Nicholas West , Matthias Görges

In health psychology, Behaviour Change Theories(BCTs) play an important role in modelling human goal achievement in adverse environments. Some of these theories use concepts that are also used in computational modelling of cognition and…

Computers and Society · Computer Science 2021-10-19 Catriona M. Kennedy

Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications-focused on supply chain, patient management, and…

Machine Learning · Computer Science 2024-11-22 África Periáñez , Ana Fernández del Río , Ivan Nazarov , Enric Jané , Moiz Hassan , Aditya Rastogi , Dexian Tang

In response to the COVID-19 pandemic and the potential threat of future epidemics caused by novel viruses, we developed a flexible framework for modeling disease intervention effects. This tool is intended to aid decision makers at multiple…

Multiagent Systems · Computer Science 2023-08-22 Karleigh Pine , Razvan Veliche , Jared Bennett , Joel Klipfel

Digital twin models are of high interest to Head and Neck Cancer (HNC) oncologists, who have to navigate a series of complex treatment decisions that weigh the efficacy of tumor control against toxicity and mortality risks. Evaluating…

Human-Computer Interaction · Computer Science 2024-07-19 Andrew Wentzel , Serageldin Attia , Xinhua Zhang , Guadalupe Canahuate , Clifton David Fuller , G. Elisabeta Marai

There is a growing interest in HCI to envision, design, and evaluate technology-enabled interventions that support users' emotion regulation. This interest stems in part from increased recognition that the ability to regulate emotions is…

Human-Computer Interaction · Computer Science 2022-04-05 Petr Slovak , Alissa N. Antle , Nikki Theofanopoulou , Claudia Daudén Roquet , James J Gross , Katherine Isbister

We describe a co-design approach to design the online WebSoKeyTo used to design AAC. This co-design was carried out between a team of therapists and a team of human-computer interaction researchers. Our approach begins with the use and…

This research report proposes a structured solution to address the need for awareness of cultural and language in user design. It will include evaluated research on established methods that already exist. Discussed ideas about how to…

Computers and Society · Computer Science 2016-05-26 Jason Ross , Jing Gao

Health informatics can inform decisions that practitioners, patients, policymakers, and researchers need to make about health and disease. Health informatics is built upon patient health data leading to the need to codify patient health…

Computers and Society · Computer Science 2023-04-14 Jacob S. Zelko , Sarah Gasman , Shenita R. Freeman , Dong Yun Lee , Jaan Altosaar , Azza Shoaibi , Gowtham Rao

Sequential experimental design to discover interventions that achieve a desired outcome is a key problem in various domains including science, engineering and public policy. When the space of possible interventions is large, making an…

Machine Learning · Computer Science 2023-08-17 Jiaqi Zhang , Louis Cammarata , Chandler Squires , Themistoklis P. Sapsis , Caroline Uhler
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