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Yi Ting Sam

dblp:391/8591 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 · 56% Usability and user experience research · 44%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Usability and user experience research › user performance
operator performance
0.812024
The Impact of Stress and Workload on Human Performance in Robot Teleoperation Tasks · IEEE Trans. Robotics 2024
Human-robot interaction
teleoperation
0.812024
The Impact of Stress and Workload on Human Performance in Robot Teleoperation Tasks · IEEE Trans. Robotics 2024

Methods — techniques the papers use, named apart from their topics

user study · 0.8subjective and objective measures · 0.8
YearPublicationVenuePosition
2024 The Impact of Stress and Workload on Human Performance in Robot Teleoperation Tasks
abstract
Advances in robot teleoperation have enabled groundbreaking innovations in many fields, such as space exploration, healthcare, and disaster relief. The human operator's performance plays a key role in the success of any teleoperation task, with prior evidence suggesting that operator stress and workload can impact task performance. As robot teleoperation is currently deployed in safety-critical domains, it is essential to analyze how different stress and workload levels impact the operator. We are unaware of any prior work investigating how both stress and workload impact teleoperation performance. We conducted a novel study ($n=24$) to jointly manipulate users' stress and workload and analyze the user's performance through objective and subjective measures. Our results indicate that, as stress increased, over 70% of our participants performed better up to a moderate level of stress; yet, the majority of participants performed worse as the workload increased. Importantly, our experimental design elucidated that stress and workload have related yet distinct impacts on task performance, with workload mediating the effects of distress on performance ($p< .05$).
Yi Ting Sam, Erin Hedlund-Botti, Manisha Natarajan, Jamison Heard, Matthew C. Gombolay
IEEE Trans. Robotics1