Literature DB >> 25528402

The efficacy of auditory probes in indexing cognitive workload is dependent on stimulus complexity.

Ford B Dyke1, Amber M Leiker2, Kirk F Grand3, Maurice M Godwin4, Andrew G Thompson5, Jeremy C Rietschel6, Craig G McDonald7, Matthew W Miller8.   

Abstract

We examined whether the utility of a recently developed auditory probe technique for indexing cognitive workload was dependent on the stimulus properties of the probes. EEG was recorded while participants played a videogame under various levels of cognitive workload. At each level of workload, participants were probed with one of four different types of auditory stimuli: novel complex, repeated complex, novel simple, or repeated simple sounds. Probe efficacy at indexing cognitive workload was assessed by determining which probes elicited ERP components that decreased monotonically as a function of workload. Results suggest that complex auditory stimuli were significantly more effective in indexing cognitive workload than simple stimuli. The efficacy of complex stimuli was due to their ability to elicit a robust orienting response, indexed by the early P3a component of the ERP, which decreased monotonically as a function of cognitive workload.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cognitive workload; Event-related potentials; Response orienting

Mesh:

Year:  2014        PMID: 25528402     DOI: 10.1016/j.ijpsycho.2014.12.008

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  8 in total

1.  Changes in motor performance and mental workload during practice of reaching movements: a team dynamics perspective.

Authors:  Isabelle M Shuggi; Patricia A Shewokis; Jeffrey W Herrmann; Rodolphe J Gentili
Journal:  Exp Brain Res       Date:  2017-12-06       Impact factor: 1.972

2.  Biomechanical and neurocognitive performance outcomes of walking with transtibial limb loss while challenged by a concurrent task.

Authors:  Alison L Pruziner; Emma P Shaw; Jeremy C Rietschel; Brad D Hendershot; Matthew W Miller; Erik J Wolf; Bradley D Hatfield; Christopher L Dearth; Rodolphe J Gentili
Journal:  Exp Brain Res       Date:  2018-11-20       Impact factor: 1.972

3.  Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.

Authors:  Irina Belyaeva; Ben Gabrielson; Yu-Ping Wang; Tony W Wilson; Vince D Calhoun; Julia M Stephen; Tülay Adali
Journal:  Neuroinformatics       Date:  2022-08-24

4.  The Relationship Between Engagement and Neurophysiological Measures of Attention in Motion-Controlled Video Games: A Randomized Controlled Trial.

Authors:  Amber M Leiker; Matthew Miller; Lauren Brewer; Monica Nelson; Maria Siow; Keith Lohse
Journal:  JMIR Serious Games       Date:  2016-04-21       Impact factor: 4.143

5.  Auditory Task Irrelevance: A Basis for Inattentional Deafness.

Authors:  Menja Scheer; Heinrich H Bülthoff; Lewis L Chuang
Journal:  Hum Factors       Date:  2018-03-26       Impact factor: 2.888

6.  Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies.

Authors:  Camille E Short; Ann DeSmet; Catherine Woods; Susan L Williams; Carol Maher; Anouk Middelweerd; Andre Matthias Müller; Petra A Wark; Corneel Vandelanotte; Louise Poppe; Melanie D Hingle; Rik Crutzen
Journal:  J Med Internet Res       Date:  2018-11-16       Impact factor: 5.428

7.  Steering Demands Diminish the Early-P3, Late-P3 and RON Components of the Event-Related Potential of Task-Irrelevant Environmental Sounds.

Authors:  Menja Scheer; Heinrich H Bülthoff; Lewis L Chuang
Journal:  Front Hum Neurosci       Date:  2016-03-01       Impact factor: 3.169

8.  Feature Weight Driven Interactive Mutual Information Modeling for Heterogeneous Bio-Signal Fusion to Estimate Mental Workload.

Authors:  Pengbo Zhang; Xue Wang; Junfeng Chen; Wei You
Journal:  Sensors (Basel)       Date:  2017-10-12       Impact factor: 3.576

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.