Conference Paper/Proceeding/Abstract 473 views 292 downloads
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
,
Sarah C. Sharples,
Max L. Wilson
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Pages: 3807 - 3816
Swansea University Author:
Martin Porcheron
-
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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...
| Published in: | Proceedings of the SIGCHI Conference on Human Factors in Computing Systems |
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| ISBN: | 9781450324731 |
| Published: |
New York, NY, USA
ACM
2014
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| 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. |
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| Keywords: |
bci; think aloud protocol; hci; human cognition; functional near-infrared spectroscopy; fnirs |
| College: |
Faculty of Science and Engineering |
| Start Page: |
3807 |
| End Page: |
3816 |