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Xiaotian Daisy Hu

dblp:433/1636 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-9618-8447ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 70% Human-AI interaction · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies › mental health technology
emotion regulation
1.012026
Generative AI and Creative Mediums for Youth's Emotion Regulation: An Interview Study with Clinicians · CHI 2026
Human-AI interaction
generative AI
1.012026
Generative AI and Creative Mediums for Youth's Emotion Regulation: An Interview Study with Clinicians · CHI 2026
Health and well-being technologies
mental health technology
1.012026
Generative AI and Creative Mediums for Youth's Emotion Regulation: An Interview Study with Clinicians · CHI 2026
Health and well-being technologies › mental health › mental healthcare › psychotherapy
cognitive behavioral therapy
0.312026
Generative AI and Creative Mediums for Youth's Emotion Regulation: An Interview Study with Clinicians · CHI 2026

Methods — techniques the papers use, named apart from their topics

technological probe · 1.0interview study · 1.0
YearPublicationVenuePosition
2026 Generative AI and Creative Mediums for Youth's Emotion Regulation: An Interview Study with Clinicians
abstract
Emotion regulation (ER) is essential to youth well-being, and cognitive-behavioral therapy (CBT) is an established approach for building ER skills. Clinicians often use creative mediums such as visuals and narratives to support ER through CBT, yet access and personalization remain limited. Generative AI (GenAI) shows promise for addressing these limitations, but its benefits and risks in youth ER remain underexplored, underscoring the need for expert perspectives. We interviewed 20 ER specialists–psychotherapists, art therapists, and psychiatrists–using a GenAI technological probe that generated CBT-based visuals and narratives. Clinicians highlighted GenAI’s potential as a “bridge” to help youth concretely identify and express emotions, practice personalized coping skills, and mediate ER conversations between home and clinics. They also cautioned that the vividness and unpredictability of GenAI outputs may trigger trauma or reinforce maladaptive thinking. We propose psychologically grounded design implications for GenAI to foster safe, engaging youth ER as a foundation for lifelong well-being.
Daeun Yoo, Daniela E. Munoz Lopez, Xiaotian Daisy Hu, Jason C. Yip 0001, Katie Davis 0001
CHI3