Measuring the effect of Think Aloud Protocols on workload using fNIRS
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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
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ACM
2014
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| Online Access: | https://eprints.nottingham.ac.uk/31323/ |
| _version_ | 1848794177187348480 |
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| author | Pike, Matthew F. Maior, Horia A. Porcheron, Martin Sharples, Sarah C. Wilson, Max L. |
| author_facet | Pike, Matthew F. Maior, Horia A. Porcheron, Martin Sharples, Sarah C. Wilson, Max L. |
| author_sort | Pike, Matthew F. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:12:03Z |
| format | Conference or Workshop Item |
| id | nottingham-31323 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:12:03Z |
| publishDate | 2014 |
| publisher | ACM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-313232020-05-04T16:45:50Z https://eprints.nottingham.ac.uk/31323/ 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. 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. ACM 2014-05-01 Conference or Workshop Item PeerReviewed Pike, Matthew F., Maior, Horia A., Porcheron, Martin, Sharples, Sarah C. and Wilson, Max L. (2014) Measuring the effect of Think Aloud Protocols on workload using fNIRS. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, 26 April - 01 May 2014, Toronto, Canada. bci fnirs functional near-infrared spectroscopy hci human cognition think aloud protocol http://doi.acm.org/10.1145/2556288.2556974 |
| spellingShingle | bci fnirs functional near-infrared spectroscopy hci human cognition think aloud protocol Pike, Matthew F. Maior, Horia A. Porcheron, Martin Sharples, Sarah C. Wilson, Max L. Measuring the effect of Think Aloud Protocols on workload using fNIRS |
| title | Measuring the effect of Think Aloud Protocols on workload using fNIRS |
| title_full | Measuring the effect of Think Aloud Protocols on workload using fNIRS |
| title_fullStr | Measuring the effect of Think Aloud Protocols on workload using fNIRS |
| title_full_unstemmed | Measuring the effect of Think Aloud Protocols on workload using fNIRS |
| title_short | Measuring the effect of Think Aloud Protocols on workload using fNIRS |
| title_sort | measuring the effect of think aloud protocols on workload using fnirs |
| topic | bci fnirs functional near-infrared spectroscopy hci human cognition think aloud protocol |
| url | https://eprints.nottingham.ac.uk/31323/ https://eprints.nottingham.ac.uk/31323/ |