Emily Doherty

ORCID: 0000-0002-2751-0874
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About
Contact & Profiles
Research Areas
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neural and Behavioral Psychology Studies
  • Human-Automation Interaction and Safety
  • Team Dynamics and Performance
  • Optical Imaging and Spectroscopy Techniques
  • Non-Invasive Vital Sign Monitoring
  • Misinformation and Its Impacts
  • Electrochemical Analysis and Applications
  • Music Technology and Sound Studies
  • Healthcare Technology and Patient Monitoring
  • Cognitive Science and Mapping
  • Knowledge Management and Sharing
  • Mental Health via Writing

University of Colorado Boulder
2022-2024

University of Colorado System
2022-2023

Given new technologies and algorithmic capabilities, human-agent teaming (HAT) is expected to dominate environments where complex problems are solved by heterogenous teams. In such teams, trust calibration key; i.e. humans agents working symbiotically, with trusting relying on as appropriate. this paper, we focus understanding trust-calibration in HATs. We propose a theoretical framework of calibrated Next, provide configurable testbed designed investigate To demonstrate the flexible our...

10.1080/1463922x.2022.2086644 article EN Theoretical Issues in Ergonomics Science 2022-06-25

We investigate the utility of functional near-infrared spectroscopy (fNIRS) for workload-based adaptive automation through lens multiple resource theory. focus on criteria unobtrusiveness, responsiveness, load sensitivity (low vs high load), and diagnosticity (differentiating types load). report a large meta-review, in which we conclude that only few studies were suitable evaluating complex real-world tasks. While these reveal fNIRS signal is adequately sensitive to gradations level changes...

10.1080/10447318.2023.2266242 article EN International Journal of Human-Computer Interaction 2023-10-23

Intelligent agents are rapidly evolving from assistants into teammates as they perform increasingly complex tasks. Successful human-agent teams leverage the computational power and sensory capabilities of automated while keeping human operator's expectation consistent with agent's ability. This helps prevent over-reliance on under-utilization agent to optimize its effectiveness. Research at intersection human-computer interaction, social psychology, neuroergonomics has identified trust a...

10.3389/fnrgo.2022.838625 article EN cc-by Frontiers in Neuroergonomics 2022-04-07

As collaborative technologies evolve from supportive tools to interactive teammates, there is a growing need understand how trust and team processes develop in human-agent teams. To contribute effectively, these systems must be able support human teammates task without disrupting the delicate interpersonal states that govern successful collaboration. In order break down complexity of monitoring multiple actors collaborations, identify interpretable, generalizable measures can monitor...

10.1145/3579598 article EN cc-by Proceedings of the ACM on Human-Computer Interaction 2023-04-14

Neuroimaging studies using functional magnetic resonance imaging (fMRI) have provided unparalleled insights into the fundamental neural mechanisms underlying human cognitive processing, such as high-level linguistic processes during reading. Here, we build upon this prior work to capture sentence reading comprehension outside MRI scanner near infra-red spectroscopy (fNIRS) in a large sample of participants (n = 82). We observed increased task-related hemodynamic responses prefrontal and...

10.1038/s41598-024-69630-x article EN cc-by-nc-nd Scientific Reports 2024-08-22

Teamness is a newly proposed multidimensional construct aimed to characterize teams and their dynamic levels of interdependence over time. Specifically, teamness deeply rooted in team cognition literature, considering how team’s composition, processes, states, actions affect collaboration. With this multifaceted being recently proposed, there call the research community investigate, measure, model dimensions teamness. In study, we explored speech content 21 human-human-agent during remote...

10.1145/3577190.3614121 article EN cc-by INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION 2023-10-07

When humans work closely together, they can pick up subtle cues from their team members and adapt behavior appropriately. Humans working with robots may also give off cues, but the cannot detect these signals therefore change behavior. In this paper, we focus on heterogeneous multi-human robot teams. Such scenarios exist frequently in search rescue operations as well space missions, where perform tasks that are unsafe or even impossible for humans. At same time, human collaborate to make...

10.1145/3533406.3533419 article EN 2022-06-08

This paper introduces Stringesthesia, an interactive and improvised performance paradigm. Stringesthesia uses real-time neuroimaging to connect performers audiences, enabling direct access the performer's mental state determining audience participation during performance. Functional near-infrared spectroscopy (fNIRS), a noninvasive tool, was used assess metabolic activity of brain areas collectively associated with metric we call "trust". A visualization representing measurement level trust...

10.1145/3616195.3616209 preprint EN cc-by-nc-nd 2023-08-30

Abstract Functional magnetic resonance imaging (fMRI) has provided unparalleled insights into the fundamental neural mechanisms governing human cognition, including complex processes such as reading. Here, we leverage wealth of prior fMRI work to capture reading outside MRI scanner using functional near infra-red spectroscopy (fNIRS). In a large sample participants (n = 82) observe significant prefrontal and temporal fNIRS activations during reading, which are largely reliable across...

10.1101/2023.12.13.571603 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-12-14
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