underlying processes behind false perspective production
Clicks: 124
ID: 203530
2016
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
30.0
/100
107 views
7 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
This study aimed to determine the extent to which Reality Monitoring (RM) content analysis can provide useful information when discriminating between actual versus false statements. Participants were instructed to either describe a traffic accident as eyewitness actual role or to describe the accident as a simulated victim. Data were analysed in terms of accuracy and quality, and were represented using high dimensional visualization (HDV). In Experiment 1 (between-participant design), participants made significantly more references to cognitive operations, more self-references and less changes in order when describing the event as simulated victim. In Experiment 2 (within-participants design) participants also made significantly more references to cognitive operations and more self references when describing the event from the simulated victim as well as being less accurate, providing less irrelevant information and more evalúative comments. HDV graphics indicated that false statements differ holistically from actual ones.
| Reference Key |
manzanero2016analesunderlying
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Antonio L. Manzanero;Beatriz López;Javier Aróztegui |
| Journal | acta chemica scandinavica |
| Year | 2016 |
| DOI |
10.6018/analesps.32.1.194461
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.