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Measuring the effect of Think Aloud Protocols on workload using fNIRS

Pike, Matthew F.; Maior, Horia A.; Porcheron, Martin; Sharples, Sarah C.; Wilson, Max L.

Authors

Matthew F. Pike

Horia A. Maior

Martin Porcheron

Sarah C. Sharples



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.

Start Date Apr 26, 2014
Publication Date Apr 26, 2014
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Series Title CHI '14
ISBN 978-1-4503-2473-1
APA6 Citation Pike, M. F., Maior, H. A., Porcheron, M., Sharples, S. C., & Wilson, M. L. (2014). Measuring the effect of Think Aloud Protocols on workload using fNIRS. doi:10.1145/2556288.2556974
DOI https://doi.org/10.1145/2556288.2556974
Keywords bci, fnirs, functional near-infrared spectroscopy, hci, human cognition, think aloud protocol
Publisher URL http://doi.acm.org/10.1145/2556288.2556974
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information Published in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). New York : ACM, 2014. ISBN 9781450324731 pp. 3807-3816, DOI: 10.1145/2556288.2556974

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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