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Matthew Gombolay

Biographic Data

ID5132572
NAMEMatthew Gombolay
GIVEN NAMESMatthew
FAMILY NAMEGombolay
SIGNATUREGOMBOLAY M
AFFILIATIONSGeorgia Institute of Technology
ORCID0000-0002-5321-6038
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Asynchronous Training of Mixed-Role Human Actors in a Partially Observable Environment

    Kimberlee Chestnut Chang, Reed Jensen et al.•ARTICLE•ACM Transactions on Human-Robot…•2026

    In cooperative training, humans within a team coordinate on complex tasks, building mental models of their teammates and learning to adapt to teammates’ actions in real-time. To reduce the often prohibitive scheduling constraints associated with cooperative training, this article introduces a paradigm for cooperative asynchronous training of human teams in which trainees practice coordination with autonomous teammates rather than humans. We intro…

  • Towards the design of user-centric strategy recommendation systems for collaborative Human–AI tasks

    Open Access•Lakshita Dodeja, Pradyumna Tambwekar et al.•ARTICLE•International Journal of…•2024

  • Concerning Trends in Likert Scale Usage in Human-robot Interaction

    Open Access•Mariah Schrum, Muyleng Ghuy et al.•ARTICLE•ACM Transactions on Human-Robot…•2023

    As robots become more prevalent, the importance of the field of human-robot interaction (HRI) grows accordingly. As such, we should endeavor to employ the best statistical practices in HRI research. Likert scales are commonly used metrics in HRI to measure perceptions and attitudes. Due to misinformation or honest mistakes, many HRI researchers do not adopt best practices when analyzing Likert data. We conduct a review of psychometric literature …

  • Coordinating Human-Robot Teams with Dynamic and Stochastic Task Proficiencies

    Open Access•Ruisen Liu, Manisha Natarajan et al.•ARTICLE•ACM Transactions on Human-Robot…•2022

    As robots become ubiquitous in the workforce, it is essential that human-robot collaboration be both intuitive and adaptive. A robot’s ability to coordinate team activities improves based on its ability to infer and reason about the dynamic (i.e., the “learning curve”) and stochastic task performance of its human counterparts. We introduce a novel resource coordination algorithm that enables robots to schedule team activities by (1) actively char…

No prominent works on this page.

  • Coordinating Human-Robot Teams with Dynamic and Stochastic Task Proficiencies

    Open Access•Ruisen Liu, Manisha Natarajan et al.•ARTICLE•ACM Transactions on Human-Robot…•2022

    As robots become ubiquitous in the workforce, it is essential that human-robot collaboration be both intuitive and adaptive. A robot’s ability to coordinate team activities improves based on its ability to infer and reason about the dynamic (i.e., the “learning curve”) and stochastic task performance of its human counterparts. We introduce a novel resource coordination algorithm that enables robots to schedule team activities by (1) actively char…

  • Concerning Trends in Likert Scale Usage in Human-robot Interaction

    Open Access•Mariah Schrum, Muyleng Ghuy et al.•ARTICLE•ACM Transactions on Human-Robot…•2023

    As robots become more prevalent, the importance of the field of human-robot interaction (HRI) grows accordingly. As such, we should endeavor to employ the best statistical practices in HRI research. Likert scales are commonly used metrics in HRI to measure perceptions and attitudes. Due to misinformation or honest mistakes, many HRI researchers do not adopt best practices when analyzing Likert data. We conduct a review of psychometric literature …

  • Towards the design of user-centric strategy recommendation systems for collaborative Human–AI tasks

    Open Access•Lakshita Dodeja, Pradyumna Tambwekar et al.•ARTICLE•International Journal of…•2024

  • Asynchronous Training of Mixed-Role Human Actors in a Partially Observable Environment

    Kimberlee Chestnut Chang, Reed Jensen et al.•ARTICLE•ACM Transactions on Human-Robot…•2026

    In cooperative training, humans within a team coordinate on complex tasks, building mental models of their teammates and learning to adapt to teammates’ actions in real-time. To reduce the often prohibitive scheduling constraints associated with cooperative training, this article introduces a paradigm for cooperative asynchronous training of human teams in which trainees practice coordination with autonomous teammates rather than humans. We intro…

Computer Science (3 works) · Human-Automation Interaction and Safety (2 works) · Human–computer interaction (2 works) · Occupational Health and Safety Research (2 works) · Robot (2 works) · Task Analysis (2 works) · Applied Psychology (1 work) · Artificial Intelligence (1 work) · Asynchronous communication (1 work) · Behavioral Health and Interventions (1 work)

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