Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sang-Houn Ok
dblp:269/9753
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0002-3954-9810ORCID · 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 · 50% Human-AI interaction · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › conversational agents
chatbot |
0.9 | 1 | 2025 | Understanding Public Agencies' Expectations and Realities of AI-Driven Chatbots for Public Health Monitoring · CHI 2025 |
Health and well-being technologies › health monitoring
public health monitoring |
0.9 | 1 | 2025 | Understanding Public Agencies' Expectations and Realities of AI-Driven Chatbots for Public Health Monitoring · CHI 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Understanding Public Agencies' Expectations and Realities of AI-Driven Chatbots for Public Health Monitoring
Eunkyung Jo, Young-Ho Kim, Sang-Houn Ok, Daniel A. Epstein |
CHI | 3 |