Skip navigation
SuUB logo
DSpace logo

  • Home
  • Institutions
    • University of Bremen
    • City University of Applied Sciences
    • Bremerhaven University of Applied Sciences
  • Sign on to:
    • My Media
    • Receive email
      updates
    • Edit Account details

Citation link: https://doi.org/10.26092/elib/2334

Publisher DOI: https://doi.org/10.1016/j.cognition.2014.11.019
Helversen_Scholz_et_al_2015_Cognition_accepted-version_PDF-A.pdf
OpenAccess
 
by-nc-nd 4.0

Eye movements reveal memory processes during similarity- and rule-based decision making


File Description SizeFormat
Helversen_Scholz_et_al_2015_Cognition_accepted-version_PDF-A.pdf662.07 kBAdobe PDFView/Open
Authors: Scholz, Agnes 
von Helversen, Bettina  
Rieskamp, Jörg  
Abstract: 
Recent research suggests that when people retrieve information from memory they tend to fixate on the location where the information had appeared during encoding. We used this phenomenon to investigate if different information is activated in memory when people use a rule- versus a similarity-based decision strategy. In two studies, participants first memorized multiple pieces of information about various job candidates (exemplars). In subsequent test trials they judged the suitability of new candidates that varied in their similarity to the previously learned exemplars. Results show that when using similarity, but not when using a rule, participants fixated longer on the previous location of exemplars that resembled the new candidates than on the location of dissimilar exemplars. This suggests that people using similarity retrieve previously learned exemplars, whereas people using a rule do not. The study illustrates that eye movements can provide new insights into the memory processes underlying decision making.
Keywords: Episodic memory; Eye movements; Looking-at-nothing; Multi-cue decision making; Process tracing; Similarity
Issue Date: Mar-2015
Publisher: Elsevier
Journal/Edited collection: Cognition 
Start page: 228
End page: 246
Type: Artikel/Aufsatz
ISSN: 00100277
Secondary publication: yes
Document version: Postprint
DOI: 10.26092/elib/2334
URN: urn:nbn:de:gbv:46-elib70135
Faculty: Fachbereich 03: Mathematik/Informatik (FB 03) 
Appears in Collections:Forschungsdokumente

  

Page view(s)

88
checked on May 10, 2025

Download(s)

64
checked on May 10, 2025

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons

Legal notice -Feedback -Data privacy
Media - Extension maintained and optimized by Logo 4SCIENCE