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Measuring the effect of Think Aloud Protocols on workload using fNIRS

conference contribution
posted on 2024-02-09, 18:23 authored by Martin Porcheron, Matthew F. Pike, Max L. Wilson, Sarah C. Sharples, Horia Maior
<p>The Think Aloud Protocol (TAP) is a verbalisation technique widely employed in HCI user studies to give insight into user experience, yet little work has explored the impact that TAPs have on participants during user studies. This paper utilises a brain sensing technique, fNIRS, to observe the effect that TAPs have on participants. Functional Near-Infrared Spectroscopy (fNIRS) is a brain sensing technology that offers the potential to provide continuous, detailed insight into brain activity, enabling an objective view of cognitive processes during complex tasks. Participants were asked to perform a mathematical task under 4 conditions: nonsense verbalisations, passive concurrent think aloud protocol, invasive concurrent think aloud protocol, and a baseline of silence. Subjective ratings and performance measures were collected during the study. Our results provide a novel view into the effect that different forms of verbalisation have on workload during tasks. Further, the results provide a means for estimating the effect of spoken artefacts when measuring workload, which is another step towards our goal of proactively involving fNIRS analysis in ecologically valid user studies.</p>

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Publisher

ACM

ISBN

978-1-4503-2473-1

Date Submitted

2020-03-31

Date Accepted

2014-04-26

Date of First Publication

2014-04-26

Date of Final Publication

2014-04-26

Event Name

32nd Annual ACM Conference on Human Factors in Computing Systems

Date Document First Uploaded

2020-01-15

ePrints ID

39597

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