Orlik, Nicolas (2023) Detecting Familiar Faces combining Rapid Series Visual Stimulation (RSVP) and Eye Movements. Bachelor thesis, Psychology.
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Abstract
Traditional concealed information tests (CIT) demonstrate satisfactory performance when individuals are cooperative; however, their effectiveness can be compromised by the application of countermeasures. Techniques such as presenting critical stimuli in rapid serial visual presentation (RSVP) whilst measuring EEG or pupil dilation have been effective in countering these measures. In this study, we explored the potential of using another oculomotor measurements during RSVP, utilizing eye movement as a potential indicator. We tested 30 participants who were asked to search for a target face embedded within an RSVP task, while also presenting a familiar face, in this case one of their parents, and two control faces. Here, the familiar face constituted the 'concealed information.' On a group level, our results did not yield significant evidence of differential eye movement in response to familiar versus control faces, thus not supporting our hypothesis. Despite the participants recognizing their familiar face, no correlated eye movement was observed. This leads us to question the suitability of eye movement as a reliable measure within the CIT framework. Our findings suggest that contrary to our expectations, eye movements may not provide the robust physiological marker needed for the detection of familiar face recognition. On the other hand, our experimental setup might have been inadequate, specifically regarding presentation time and distances between stimuli and fixation points. Consequently, this underscores the need for further research in this area, potentially using AI generated faces to alleviate task difficulty and increasing the moving distances of the face stimuli.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Supervisor name: | Chen, Y. and Akyurek, E.G. |
| Degree programme: | Psychology |
| Differentiation route: | None [Bachelor Psychology] |
| Date Deposited: | 21 Jul 2023 09:21 |
| Last Modified: | 21 Jul 2023 09:21 |
| URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/2524 |
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