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Measuring the Effect of Think Aloud Protocols on Workload using fNIRS / Matthew F. Pike; Horia A. Maior; Martin Porcheron; Sarah C. Sharples; Max L. Wilson

Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems (CHI ’14), Pages: 3807 - 3816

Swansea University Author: Martin, Porcheron

DOI (Published version): 10.1145/2556288.2556974

Abstract

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 effec...

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Published in: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems (CHI ’14)
ISBN: 9781450324731
Published: New York, NY, USA ACM 2014
Online Access: https://doi.org/10.1145/2556288.2556974
URI: https://cronfa.swan.ac.uk/Record/cronfa55706
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Abstract: 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.
Keywords: bci; think aloud protocol; hci; human cognition; functional near-infrared spectroscopy; fnirs
College: College of Science
Start Page: 3807
End Page: 3816