Projects per year
Abstract
We used the 7.5% carbon dioxide model of anxiety induction to investigate the effects of state anxiety on simple information processing. In both high- and low-anxious states, participants (n = 36) completed an auditory–visual matching task and a visual binary categorization task. The stimuli were either degraded or clear, so as to investigate whether the effects of anxiety are greater when signal clarity is compromised. Accuracy in the matching task was lower during CO2 inhalation and for degraded stimuli. In the categorization task, response times and indecision (measured using mouse trajectories) were greater during CO2 inhalation and for degraded stimuli. For most measures, we found no evidence of Gas × Clarity interactions. These data indicate that state anxiety negatively impacts simple information processing and do not support claims that anxiety may benefit performance in low-cognitively-demanding tasks. These findings have important implications for understanding the impact of state anxiety in real-world situations.
Original language | English |
---|---|
Pages (from-to) | 732-738 |
Number of pages | 7 |
Journal | Psychonomic Bulletin and Review |
Volume | 25 |
Issue number | 2 |
Early online date | 1 Feb 2018 |
DOIs | |
Publication status | Published - 1 Apr 2018 |
Research Groups and Themes
- Memory
- Cognitive Science
- Physical and Mental Health
Keywords
- Anxiety
- Auditory perception
- Human factors
- Visual perception
Fingerprint
Dive into the research topics of 'State anxiety and information processing: A 7.5% carbon dioxide challenge study'. Together they form a unique fingerprint.Projects
- 1 Finished
-
MRC UoB UNITE Unit - Programme 6
Munafo, M. R. (Principal Investigator) & Munafo, M. R. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
Datasets
-
State Anxiety and Information Processing: a 7.5% Carbon Dioxide Challenge Study
Munafo, M. (Creator), Attwood, A. (Creator), Easey, K. (Contributor), Kent, C. (Contributor), Catling, J. (Contributor), Jackson, S. (Contributor) & Crouch, C. (Contributor), University of Bristol, 28 Sept 2016
DOI: 10.5523/bris.1bvk8fmcvv4m1b6c1p5efsgvr, http://data.bris.ac.uk/data/dataset/1bvk8fmcvv4m1b6c1p5efsgvr
Dataset