DY

Dong Whi Yoo

University of Indianapolis · United States

Unclaimed · AI-structured profileORCID OpenAlex

HCI researcher advancing digital mental health, human-AI collaboration, and AI ethics in care settings

2

papers here

2

reviewed by Evolve

0

first-author

0

corresponding

—

works · OpenAlex

12

h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-15) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.

Research profile

Output: insufficient dataOutputImpact: insufficient dataImpactFocus: 0/100FocusCollaboration: 56/100CollaborationActivity: 100/100ActivityReproducibility: 20/100Reproducibility

Output—

Output metrics are not yet available for this profile; this axis would measure total publication volume, annual output rate, and authorship-role distribution across the full record once sufficient bibliographic data exists.

Impact—

Impact data is currently insufficient to score; this axis would measure citations, citation trajectory, and uptake by other researchers. The snapshot reports h-index 12 and i10-index 16, but the impact dimension itself remains unscored.

Focus0/100

The focus axis scores 0, reflecting an evenly split record: 50% human-computer interaction (digital mental health) and 50% HCI/social computing. Topic counts reinforce this breadth — digital mental health interventions (24), innovative human-technology interaction (19), ethics and social impacts of AI (19), AI in healthcare and education (15), and explainable AI (11) — spanning care, ethics, and XAI rather than a single niche.

Collaboration56/100

Scoring 56, collaboration is moderate: the record lists 16 distinct coauthors, with recurring collaborators including Jiayue Melissa Shi, Ravi Karkar, Koustuv Saha, Daniel S. Brown, and Violeta J. Rodríguez. Both Evolve-reviewed 2026 papers place Yoo in a middle-author position without corresponding status, consistent with team-based HCI studies rather than solo or PI-led output.

Activity100/100

Activity scores a perfect 100. Works per year rise from 3 in 2019 through 4 (2022) and 5 (2024), then accelerate sharply to 14 in 2025 and 28 in 2026; the last three years alone account for 47 works. This late-record surge in output volume is the defining feature of the current bibliometric snapshot.

Reproducibility20/100

Reproducibility scores 20 (repro mean 20 across 2 scored papers). Both Evolve-reviewed studies — CareMirror (N=14 design-probe interviews) and PeerPen (n=15 interviews) — carry low reproducibility readiness, reflecting qualitative designs, self-selected samples, and, per Evolve's verdicts, missing clinician input and no sustained-use evidence.

Research summary

Dong Whi Yoo is a human-computer interaction researcher at the University of Indianapolis (US) whose work sits at the intersection of digital mental health and HCI/social computing — the bibliometric record splits evenly between the two (0.5/0.5). Topic clusters center on digital mental health interventions (24), innovative human-technology interaction (19), ethics and social impacts of AI (19), AI in healthcare and education (15), and explainable AI (11). The snapshot reports an h-index of 12 and an i10-index of 16, while the output and impact radar axes remain unscored for lack of underlying data. Activity is the standout dimension (100/100): works per year climb from 3 (2019) through 4 (2022) and 5 (2024), then surge to 14 in 2025 and 28 in 2026, with 47 works in the last three years alone. Collaboration is moderate (56/100) across 16 distinct coauthors, including recurring partners such as Jiayue Melissa Shi, Ravi Karkar, Koustuv Saha, Daniel S. Brown, and Violeta J. Rodríguez. Evolve has reviewed two 2026 arXiv papers, both with Yoo in a middle-author, non-corresponding role: CareMirror, a design-probe study (N=14) of caregiver-clinician data sharing in dementia care, and PeerPen (n=15) on AI-assisted writing in online peer support. Both carry low reproducibility readiness (repro mean 20/100), consistent with qualitative, early-stage designs.

Collaboration pattern

With 16 distinct coauthors and a collaboration score of 56, Yoo works in mid-sized, interdisciplinary HCI teams. Recurring partners include Jiayue Melissa Shi, Ravi Karkar, Koustuv Saha, Daniel S. Brown, and Violeta J. Rodríguez, alongside a newer cluster of collaborators (Ethan Nguyen, Drishti Goel, Upasana Natarajan). On both Evolve-reviewed 2026 papers Yoo appears as a middle author without corresponding status, suggesting a contributor role within larger care-focused HCI groups rather than sole leadership.

Research keywords

Digital mental health interventionsHuman-computer interactionSocial computingDementia caregivingCaregiver wellbeingOnline mental health communitiesHuman-AI collaborationEthics of AIExplainable AI (XAI)AI in healthcare and educationLLM chatbotsQualitative interview studies

Highlights

Timeline

  1. 20193 works recorded — the earliest year in the bibliometric snapshot.
  2. 2022Output recovers to 4 works, after single-work years in 2020 and 2021.
  3. 2024Output reaches 5 works, the highest point before the surge.
  4. 2025Output jumps to 14 works as publication activity accelerates markedly.
  5. 2026Record-high 28 works; Evolve reviews two arXiv papers from this year — CareMirror and PeerPen — with Yoo as a middle author on both.

Papers in the Evolve catalog

Frequent co-authors

Is this you? Claim this profile

Enter the email you published with. We'll send a one-time claim link; after claiming you can edit the introduction or hide this page. Requests from a mismatched address go to manual review.

About this profile

This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.

  • Bibliometrics are computed from an OpenAlex-based snapshot (identity: openalex); non-indexed venues and outputs may be missing.
  • The output and impact radar axes lack sufficient underlying data and are deliberately left unscored; h-index 12 and i10-index 16 come from the provided snapshot, not a full citation audit.
  • Only two Evolve-reviewed papers are available, both 2026 arXiv preprints with low reproducibility readiness; their qualitative findings are not yet peer-reviewed.
  • Identity is resolved from public bibliographic data cross-checked against ORCID 0000-0003-2738-1096; authorship roles beyond the two reviewed papers are not verified.
Dong Whi Yoo — Researcher Profile | Evolve.Pub