The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Building a Framework for a Dual Task Taxonomy
Open accessAbstract
The study of dual task interference has gained increasing attention in the literature for the past 35 years, with six MEDLINE citations in 1979 growing to 351 citations indexed in 2014 and a peak of 454 cited papers in 2013. Increasingly, researchers are examining dual task cost in individuals with pathology, including those with neurodegenerative diseases. While the influence of these papers has extended from the laboratory to the clinic, the field has evolved without clear definitions of commonly used terms and with extreme variations in experimental procedures. As a result, it is difficult to examine the interference literature as a single body of work. In this paper we present a new taxonomy for classifying cognitive-motor and motor-motor interference within the study of dual task behaviors that connects traditional concepts of learning and principles of motor control with current issues of multitasking analysis. As a first step in the process we provide an operational definition of dual task, distinguishing it from a complex single task. We present this new taxonomy, inclusive of both cognitive and motor modalities, as a working model; one that we hope will generate discussion and create a framework from which one can view previous studies and develop questions of interest.
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Cites
The information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1954) · Journal of Experimental Psychology · doi:10.1037/h0055392 · Cited by 6,466 · cited 1×
“The complexity of motor skills has been characterized along multiple dimensions or aspects of performance, with greater complexity directly associated with increases in reaction time, movement time, performance errors or variability, the number of body segments used, and the number of ways to perform the skill [27, 33…”
BackgroundThe information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1992) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.121.3.262 · Cited by 6,278
The co-ordination and regulation of movements
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Six views of embodied cognition
Wilson, M. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196322 · Cited by 4,782
Multiple resources and performance prediction
Wickens, C. D. (2002) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220210123806 · Cited by 2,621 · cited 1×
“While the influence of these papers has extended from the laboratory to the clinic, the field has evolved without clear definitions of commonly used terms andwith extreme variations in experimental procedures.”
BackgroundOn data-limited and resource-limited processes
Norman, D. A., & Bobrow, D. G. (1975) · Cognitive Psychology · doi:10.1016/0010-0285(75)90004-3 · Cited by 2,403
Cognitive Load Theory and Complex Learning: Recent Developments and Future Directions
van Merriënboer, J. J. G., & Sweller, J. (2005) · Educational Psychology Review · doi:10.1007/s10648-005-3951-0 · Cited by 2,206
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Guadagnoli, M. A., & Lee, T. D. (2004) · Journal of Motor Behavior · doi:10.3200/jmbr.36.2.212-224 · Cited by 1,534 · cited 1×
“Finally, task complexity is determined by the level of task difficulty relative to the expertise and abilities of the performer, known as “nominal task difficulty” according to Guadagnoli and Lee’s Challenge Point Framework for motor learning [40].”
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Metadata
- Authors
- McIsaac, T. L., Lamberg, E. M., & Muratori, L. M.
- Venue
- BioMed Research International
- Publisher
- Wiley
- Published
- 2015
- Volume
- 2015
- Pages
- 1-10
- ISSN
- 1110-7243 (ISSN-L)
- 2314-6133
- 2314-6141
- OpenAlex
- W1996179283
- Cited by
- 254
- References
- 56
- FWCI
- 18.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.