Giessener Elektronische Bibliothek

GEB - Giessener Elektronische Bibliothek

Visual reinforcement shapes eye movements in visual search

Paeye, Céline ; Schütz, Alexander C. ; Gegenfurtner, Karl R.


Originalveröffentlichung: (2016) Journal of Vision 16(10):15 doi: 10.1167/16.10.15
Zum Volltext im pdf-Format: Dokument 1.pdf (4.048 KB)


Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgende
URN: urn:nbn:de:hebis:26-opus-128416
URL: http://geb.uni-giessen.de/geb/volltexte/2017/12841/

Bookmark bei del.icio.us


Sammlung: Open Access - Publikationsfonds
Universität Justus-Liebig-Universität Gießen
Institut: Abteilung Allgemeine Psychologie
Fachgebiet: Psychologie
DDC-Sachgruppe: Psychologie
Dokumentart: Aufsatz
Sprache: Englisch
Erstellungsjahr: 2016
Publikationsdatum: 08.12.2017
Kurzfassung auf Englisch: We use eye movements to gain information about our visual environment; this information can indirectly be used to affect the environment. Whereas eye movements are affected by explicit rewards such as points or money, it is not clear whether the information gained by finding a hidden target has a similar reward value. Here we tested whether finding a visual target can reinforce eye movements in visual search performed in a noise background, which conforms to natural scene statistics and contains a large number of possible target locations. First we tested whether presenting the target more often in one specific quadrant would modify eye movement search behavior. Surprisingly, participants did not learn to search for the target more often in high probability areas. Presumably, participants could not learn the reward structure of the environment. In two subsequent experiments we used a gaze-contingent display to gain full control over the reinforcement schedule. The target was presented more often after saccades into a specific quadrant or a specific direction. The proportions of saccades meeting the reinforcement criteria increased considerably, and participants matched their search behavior to the relative reinforcement rates of targets. Reinforcement learning seems to serve as the mechanism to optimize search behavior with respect to the statistics of the task.
Lizenz: Lizenz-Logo  Creative Commons - Namensnennung, Nicht kommerziell, keine Bearbeitung 4.0