Demo Data from SIGIR 2026 / reviewers in the wild / expert
Angela Carey Lin
dblp:239/7889
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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 · 53% Haptics and multimodal interaction · 32% Wearable and physiological sensing · 16% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology
deaf and hard of hearing technology |
0.4 | 1 | 2019 | Deaf and Hard-of-hearing Individuals' Preferences for Wearable and Mobile Sound Awareness Technologies · CHI 2019 |
Haptics and multimodal interaction › multimodal interaction
multimodal output |
0.1 | 1 | 2019 | Deaf and Hard-of-hearing Individuals' Preferences for Wearable and Mobile Sound Awareness Technologies · CHI 2019 |
Haptics and multimodal interaction › multimodal feedback
visuo-haptic feedback |
0.1 | 1 | 2019 | Deaf and Hard-of-hearing Individuals' Preferences for Wearable and Mobile Sound Awareness Technologies · CHI 2019 |
Methods — techniques the papers use, named apart from their topics
online survey · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Deaf and Hard-of-hearing Individuals' Preferences for Wearable and Mobile Sound Awareness TechnologiesabstractTo investigate preferences for mobile and wearable sound awareness systems, we conducted an online survey with 201 DHH participants. The survey explores how demographic factors affect perceptions of sound awareness technologies, gauges interest in specific sounds and sound characteristics, solicits reactions to three design scenarios (smartphone, smartwatch, head-mounted display) and two output modalities (visual, haptic), and probes issues related to social context of use. While most participants were highly interested in being aware of sounds, this interest was modulated by communication preference--that is, for sign or oral communication or both. Almost all participants wanted both visual and haptic feedback and 75% preferred to have that feedback on separate devices (e.g., haptic on smartwatch, visual on head-mounted display). Other findings related to sound type, full captions vs. keywords, sound filtering, notification styles, and social context provide direct guidance for the design of future mobile and wearable sound awareness systems. Leah Findlater, Bonnie Chinh, Dhruv Jain, Jon Froehlich, Raja S. Kushalnagar, Angela Carey Lin |
CHI | 6 |