Demo Data from VLDB 2026 / reviewers in the wild / expert
Lana H. A. Alkly
dblp:179/4685
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—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 |
Usability and user experience research · 56% Wearable and physiological sensing · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing › physiological signal analysis
psychophysiological measures |
0.2 | 1 | 2016 | Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us? · CHI 2016 |
Usability and user experience research › usability evaluation
usability testing |
0.2 | 1 | 2016 | Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us? · CHI 2016 |
Usability and user experience research
usability evaluation |
0.1 | 1 | 2016 | Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us? · CHI 2016 |
Methods — techniques the papers use, named apart from their topics
self-assessment manikin · 0.2galvanic skin response · 0.2eye tracking · 0.2cued-recall debrief · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Understanding the Relationship between Frustration and the Severity of Usability Problems: What can Psychophysiological Data (Not) Tell Us?abstractFrustration is used as a criterion for identifying usability problems (UPs) and for rating their severity in a few of the existing severity scales, but it is not operationalized. No research has systematically examined how frustration varies with the severity of UPs. We aimed to address these issues with a hybrid approach, using Self-Assessment Manikin, comments elicited with Cued-Recall Debrief, galvanic skin responses (GSR) and gaze data. Two empirical studies involving a search task with a website known to have UPs were conducted to substantiate findings and improve on the methodological framework, which could facilitate usability evaluation practice. Results showed no correlation between GSR peaks and severity ratings, but GSR peaks were correlated with frustration scores -- a metric we developed. The Peak-End rule was partially verified. The problematic evaluator effect was the limitation as it confounded the severity ratings of UPs. Future work is aimed to control this effect and to develop a multifaceted severity scale. Anders Bruun, Effie Lai-Chong Law, Matthias Heintz 0001, Lana H. A. Alkly |
CHI | 4 |