Demo Data from EDBT 2026 / reviewers in the wild / expert
Keith Delk
dblp:374/8449
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0004-5265-6586ORCID · 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 |
Accessibility and assistive technology · 100% | |
| Computer graphics and multimedia
1 paper |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology
captioning |
0.8 | 1 | 2024 | How Users Experience Closed Captions on Live Television: Quality Metrics Remain a Challenge · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
word error rate · 1.5mixed-methods study · 1.5automated caption evaluation · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | How Users Experience Closed Captions on Live Television: Quality Metrics Remain a ChallengeabstractThis paper presents a mixed methods study on how deaf, hard of hearing and hearing viewers perceive live TV caption quality with captioned video stimuli designed to mirror TV captioning experiences. To assess caption quality, we used four commonly-used quality metrics focusing on accuracy: word error rate, weighted word error rate, automated caption evaluation (ACE), and its successor ACE2. We calculated the correlation between the four quality metrics and viewer ratings for subjective quality and found that the correlation was weak, revealing that other factors besides accuracy affect user ratings. Additionally, even high-quality captions are perceived to have problems, despite controlling for confounding factors. Qualitative analysis of viewer comments revealed three major factors affecting their experience: Errors within captions, difficulty in following captions, and caption appearance. The findings raise questions as to how objective caption quality metrics can be reconciled with the user experience across a diverse spectrum of viewers. Mariana Arroyo Chavez, Molly Feanny, Matthew Seita, Bernard Thompson, Keith Delk, Skyler Officer, Abraham Glasser, Raja S. Kushalnagar, Christian Vogler |
CHI | 5 |