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Related papers: Generative Experiences for Digital Mental Health I…

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Self-guided mental health interventions, such as "do-it-yourself" tools to learn and practice coping strategies, show great promise to improve access to mental health care. However, these interventions are often cognitively demanding and…

Human-Computer Interaction · Computer Science 2024-04-12 Ashish Sharma , Kevin Rushton , Inna Wanyin Lin , Theresa Nguyen , Tim Althoff

Background: Generative AI tools have become increasingly relevant in supporting personalized recommendations across various domains. However, their effectiveness in health-related behavioral interventions, especially those aiming to reduce…

Information Retrieval · Computer Science 2025-08-07 Rafael Salinas-Buestan , Otto Parra , Nelly Condori-Fernandez , Maria Fernanda Granda

The recent growth of digital interventions for mental well-being prompts a call-to-arms to explore the delivery of personalised recommendations from a user's perspective. In a randomised placebo study with a two-way factorial design, we…

Human-Computer Interaction · Computer Science 2021-01-22 Svenja Pieritz , Mohammed Khwaja , A. Aldo Faisal , Aleksandar Matic

Artificial intelligence (AI)-enabled digital interventions, including Generative AI (GenAI) and Human-Centered AI (HCAI), are increasingly used to expand access to digital psychiatry and mental health care. This PRISMA-ScR scoping review…

Computers and Society · Computer Science 2026-03-18 Yang Ni , Fanli Jia

Advances in data collection enable the capture of rich patient-generated data: from passive sensing (e.g., wearables and smartphones) to active self-reports (e.g., cross-sectional surveys and ecological momentary assessments). Although…

The recent rapid advancement of machine learning has been driven by increasingly powerful models with the growing availability of training data and computational resources. However, real-time decision-making tasks with limited time and…

Machine Learning · Computer Science 2024-10-22 Lingyu Zhang , Zhengran Ji , Nicholas R Waytowich , Boyuan Chen

The rise of generative AI presents new opportunities for the understanding and practice of self-care through its capability to generate varied content, including self-care suggestions via text and images, and engage in dialogue with users…

Human-Computer Interaction · Computer Science 2024-05-10 Tara Capel , Bernd Ploderer , Filip Bircanin , Simon Hanmer , Jamie Yates , Jiaxuan Wang , Kai Ling Khor , Tuck Wah Leong , Greg Wadley , Michelle Newcomb

Mindfulness meditation has seen increasing applications in diverse domains as an effective practice to improve mental health. However, the standardized frameworks adopted by most applications often fail to cater to users with various…

Human-Computer Interaction · Computer Science 2025-10-15 Yuyang Jiang , Binzhu Xie , Lina Xu , Xiaokang Lei , Shi Qiu , Luwen Yu , Pan Hui

Youth increasingly turn to large language models (LLMs) for mental well-being support, yet current personalization in LLMs can overlook the heterogeneous lived experiences shaping their needs. We conducted a participatory study with youth,…

Mental health challenges among young adults, are on the rise, necessitating effective solutions such as digital mental health interventions (DMHIs). Despite their promise, DMHIs face significant adoption barriers, including low initial…

Machine Learning · Computer Science 2026-04-13 Ha Na Cho , Daniel Eisenberg , Cheryl King , Kai Zheng

Bundle recommendation aims to suggest a set of interconnected items to users. However, diverse interaction types and sparse interaction matrices often pose challenges for previous approaches in accurately predicting user-bundle adoptions.…

Information Retrieval · Computer Science 2024-12-25 Tuan-Nghia Bui , Huy-Son Nguyen , Cam-Van Nguyen Thi , Hoang-Quynh Le , Duc-Trong Le

We introduce GUIDE, a novel continual learning approach that directs diffusion models to rehearse samples at risk of being forgotten. Existing generative strategies combat catastrophic forgetting by randomly sampling rehearsal examples from…

Machine Learning · Computer Science 2024-06-03 Bartosz Cywiński , Kamil Deja , Tomasz Trzciński , Bartłomiej Twardowski , Łukasz Kuciński

Designing and evaluating personalized and proactive assistant agents remains challenging due to the time, cost, and ethical concerns associated with human-in-the-loop experimentation. Existing Human-Computer Interaction (HCI) methods often…

Human-Computer Interaction · Computer Science 2025-11-25 Ziyi Xuan , Yiwen Wu , Xuhai Xu , Vinod Namboodiri , Mooi Choo Chuah , Yu Yang

Traditionally, the regime of mental healthcare has followed an episodic psychotherapy model wherein patients seek care from a provider through a prescribed treatment plan developed over multiple provider visits. Recent advances in wearable…

Graphical User Interface (GUI) agents have the potential to assist users in interacting with complex software (e.g., PowerPoint, Photoshop). While prior research has primarily focused on automating user actions through clicks and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Saelyne Yang , Jaesang Yu , Yi-Hao Peng , Kevin Qinghong Lin , Jae Won Cho , Yale Song , Juho Kim

Challenges in engagement with digital mental health (DMH) tools are commonly addressed through technical enhancements and algorithmic interventions. This paper shifts the focus towards the role of users' broader social context as a…

Mindfulness meditation is a widely accessible and evidence-based method for supporting mental health. Despite the proliferation of mindfulness meditation apps, sustaining user engagement remains a persistent challenge. Personalizing the…

Young adults today face unprecedented mental health challenges, yet many hesitate to seek support due to barriers such as accessibility, stigma, and time constraints. Bite-sized well-being interventions offer a promising solution to…

Human-Computer Interaction · Computer Science 2026-01-21 Julie Y. A. Cachia , Xuan Zhao , John Hunter , Delancey Wu , Eta Lin , Julian De Freitas

Interior design often struggles to capture the subtleties of client experience, leaving gaps between what clients feel and what designers can act upon. We present AIDED, a designer-AI co-design workflow that integrates multimodal client…

Human-Computer Interaction · Computer Science 2026-02-11 Yang Chen Lin , Chen-Ying Chen , Kai-Hsin Hou , Hung-Yu Chen , Po-Chih Kuo

Results from a triple-blind mixed-method user study into the effectiveness of mixed-initiative tools for the procedural generation of game levels are presented. A tool which generates levels using interactive evolutionary optimisation was…

Neural and Evolutionary Computing · Computer Science 2021-06-03 Sean P. Walton , Alma A. M. Rahat , James Stovold
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