Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Willard Ober

dblp:161/7114 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Human-robot interaction
teleoperation
0.512021
Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management · ICRA 2021
Human-robot interaction › teleoperation
teleoperation interface
0.512021
Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management · ICRA 2021
Usability and user experience research
cognitive load
0.112021
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
YearPublicationVenuePosition
2021 Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management
abstract
Robot 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
ICRA5