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

Thomas Fincannon

dblp:42/11052 · also Thomas David Fincannon · DBLP profile ↗
← Back
3ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-authorHuman-computer interaction and ubiquitous computing · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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
2 papers
Human-robot interaction · 61% Usability and user experience research · 30% Collaborative and social computing · 9%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
human-robot collaboration
0.322012
Applying team heuristics to future human-robot systems · HRI 2012
Beyond "spatial ability": examining the impact of multiple individual differences in a perception by proxy framework · HRI 2012
Usability and user experience research
individual differences
0.112012
Beyond "spatial ability": examining the impact of multiple individual differences in a perception by proxy framework · HRI 2012
Collaborative and social computing
team training
0.012012
Applying team heuristics to future human-robot systems · HRI 2012
YearPublicationVenuePosition
2012 Beyond "spatial ability": examining the impact of multiple individual differences in a perception by proxy framework
abstract
Prior research has proposed the use of a Perception by Proxy framework that relies on human perception to support actions of autonomy. Given the importance of human perception, this framework highlights the need to understand how human cognitive abilities factor into the human-robot dynamic. The following paper uses a military reconnaissance task to examine how cognitive abilities interact with the gradual implementation of autonomy in a Perception by Proxy framework (i.e., autonomy to detect; autonomy to support rerouting) to predict three dimensions of sequential performance (i.e., speeded detection; target identification; rerouting). Results showed that, in addition to effects of autonomy and task setting, different individual abilities predicted unique aspects of performance. This highlights the need to broaden consideration of cognitive abilities in HRI.
Thomas Fincannon, Florian Jentsch, Brittany Sellers, Joseph Roland Keebler
HRI1
2012 Applying team heuristics to future human-robot systems
abstract
In this paper we briefly describe teaming heuristics as they are applied to human-human teams, and demonstrate their adaptability to human-robot (HR) teams. We discuss a framework developed from Salas's models on teamwork and team training. As HRI technology moves from tele-operative control methods to teamwork with intelligent robots, it is pertinent to properly integrate knowledge about teams into the development of robotic systems. This should lead to highly effective team systems, and may provide insight into the design of robotic entities and system protocols.
Joseph Roland Keebler, Florian Jentsch, Thomas Fincannon, Irwin Hudson
HRI3
2004 Evidence of the need for social intelligence in rescue robots
abstract
This study investigates data collected from operating an Inuktun robot in an urban search and rescue (USAR) confined space training exercise task at Virginia Beach Training Center. Data was collected from coding approximately one hour of video. The video had no sound so all analysis is based on the video feed. Indicators of communication, gestures, physical interactions with the robot, and robot movements were analyzed. The findings indicate that the robot emerges as a virtual presence for the support of the team outside of the confined space. The team members spontaneously responded socially to the robot despite the robot not being engineered to have a social intelligence. This confirms numerous studies in the cognitive science, psychology, and affective computing literature that robots need a social interface regards of domain.
Thomas Fincannon, Laura E. Barnes, Robin R. Murphy, Dawn Riddle
IROS1