Demo Data from EDBT 2026 / reviewers in the wild / expert
Lisa Baraniecki
dblp:146/6019
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 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 |
Human-robot interaction · 91% Usability and user experience research · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
teleoperation |
0.5 | 1 | 2021 | Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management · ICRA 2021 |
Human-robot interaction › teleoperation
teleoperation interface |
0.5 | 1 | 2021 | Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management · ICRA 2021 |
Usability and user experience research
cognitive load |
0.1 | 1 | 2021 | Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management · ICRA 2021 |
Methods — techniques the papers use, named apart from their topics
visual display · 0.5memory test · 0.5auditory display · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload ManagementabstractRobot interfaces often only use the visual channel. Inspired by Wickens’ Multiple Resource Theory, we investigated if the addition of audio elements would reduce cognitive workload and improve performance. Specifically, we designed a search and threat-defusal task (primary) with a memory test task (secondary). Eleven participants – predominantly first responders – were recruited to control a robot to clear all threats in a combination of four conditions of primary and secondary tasks in visual and auditory channels. While we did not find any statistically significant differences in performance or workload across subjects, making it questionable that Multiple Resource Theory could shorten longer-term task completion time and reduce workload. Our results suggest that considering individual differences for splitting interface modalities across multiple channels requires further investigation. Zhao Han, Adam Norton, Eric McCann, Lisa Baraniecki, Willard Ober, Dave Shane, Anna Skinner, Holly A. Yanco |
ICRA | 4 |