Literature DB >> 19587181

Web-based image norming: how do object familiarity and visual complexity ratings compare when collected in-lab versus online?

Dwayne E Paré1, George S Cree.   

Abstract

It has been demonstrated previously that, for some experimental paradigms, Web-based research can reliably replicate lab-based results. Yet questions remain as to what types of research can be reproduced, and where differences arise when they cannot be. The present article examines the effect of research location (laboratory vs. online) on normative data collection tasks. Specifically, participants were randomly assigned to a laboratory or online condition and were asked to rate 593 photorealistic images on the basis of object familiarity (N=103) and object visual complexity (N=98). Dependent measures were compared across location conditions, including response latencies and image rating agreement. Our results suggest that norming data collected online are reliable, but an interesting interplay between task type and research location was observed. Specifically, we found that participating online (i.e., a more familiar environment) leads to systematically higher familiarity ratings than in the lab (i.e., an unfamiliar environment). These differences are not found when the alternate complexity rating task is used.

Entities:  

Mesh:

Year:  2009        PMID: 19587181     DOI: 10.3758/BRM.41.3.699

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  1 in total

1.  Collecting response times using Amazon Mechanical Turk and Adobe Flash.

Authors:  Travis Simcox; Julie A Fiez
Journal:  Behav Res Methods       Date:  2014-03
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.