Dong Whi Yoo

schoolGeorgia Institute of Technologybar_chart#1087 Global Rank

Total Papers

HCI Rank

#1087

Research Areas

Years Active

Recent Publications

"In my defense, only three hours on Instagram": Designing Toward Digital Self-Awareness and Wellbeing

Screen use pervades daily life, shaping work, leisure, and social connections while raising concerns for digital wellbeing. Yet, reducing screen time alone risks oversimplifying technology’s role and neglecting its potential for meaningful engagement. We posit self-awareness---reflecting on one’s digital behavior---as…

CSCW '253rd AuthorCaregiving & Caregivers

Balancing Caregiving and Self-Care: Exploring Mental Health Needs in Alzheimer's and Dementia Caregiving

Alzheimer's Disease and Related Dementias (AD/ADRD) are progressive neurodegenerative conditions that impair memory, thought processes, and functioning. Family caregivers of individuals with AD/ADRD face significant mental health challenges due to long-term caregiving responsibilities. Yet, current support systems o…

DIS '251st AuthorExplainable AI (XAI) +2

Toward Patient-Centered AI Fact Labels: Leveraging Extrinsic Trust Cues

AI technologies in healthcare hold great promise for addressing numerous challenges, but ensuring that patients understand, trust, and adopt these technologies remains a significant hurdle. While the HCI community has proposed AI documentation frameworks (e.g., model cards) to enhance understanding, patient perspectiv…

CSCW '241st AuthorSession 3b: Bridging Technology and Therapy

Missed Opportunities for Human-Centered AI Research: Understanding Stakeholder Collaboration in Mental Health AI Research

In the mental health domain, where AI technologies will impact their treatment and daily lives, patient engagement can be a key to designing human-centered technologies. CSCW and HCI researchers have delved into various facets of collaboration in AI research; however, previous research neglects the individuals who pro…

CHI '241st AuthorAI-Assisted Decision-Making & Automation +2

Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment

Early detection and intervention for relapse is important in the treatment of schizophrenia spectrum disorders. Researchers have developed AI models to predict relapse from patient-contributed data like social media. However, these models face challenges, including misalignment with practice and ethical issues related…

UBICOMP '234th AuthorAging-Friendly Technology Design +2

Exergy: A Toolkit to Simplify Creative Applications of Wind Energy Harvesting

Energy harvesting reduces the burden of power source maintenance and promises to make computing systems genuinely ubiquitous. Researchers have made inroads in this area, but their novel energy harvesting materials and fabrication techniques remain inaccessible to the general maker communities. Therefore, this paper ai…

CSCW '231st AuthorMental Health II

Discussing Social Media During Psychotherapy Consultations: Patient Narratives and Privacy Implications

Social media platforms are being utilized by individuals with mental illness for engaging in self-disclosure, finding support, or navigating treatment journeys. Individuals also increasingly bring their social media data to psychotherapy consultations. This emerging practice during psychotherapy can help us to better…

CSCW '224th AuthorSocial Media; Social Media

Veteran Critical Theory as a Lens to Understand Veterans’ Needs and Support on Social Media

Veterans are a unique marginalized group facing multiple vulnerabilities. Current assessments of veteran needs and support largely come from first-person accounts guided by researchers’ prompts. Social media platforms not only enable veterans to connect with each other, but also to self-disclose experiences and seek s…

CHI '222nd AuthorInteractive Data Visualization +1

Supporting the Contact Tracing Process with WiFi Location Data: Opportunities and Challenges

Contact tracers assist in containing the spread of highly infectious diseases such as COVID-19 by engaging community members who receive a positive test result in order to identify close contacts. Many contact tracers rely on community member's recall for those identifications, and face limitations such as unreliable…

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