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JournalISSN: 1463-922X

Theoretical Issues in Ergonomics Science 

Taylor & Francis
About: Theoretical Issues in Ergonomics Science is an academic journal published by Taylor & Francis. The journal publishes majorly in the area(s): Computer science & Cognitive work analysis. It has an ISSN identifier of 1463-922X. Over the lifetime, 773 publications have been published receiving 22122 citations. The journal is also known as: TIES.


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Journal ArticleDOI
TL;DR: One particular application of the theory, the 4-dimensional multiple resources model, is described in detail, positing that there will be greater interference between two tasks to the extent that they share stages, sensory modalities, codes and channels of visual information.
Abstract: This paper describes the origins and history of multiple resource theory in accounting for differences in dual task interference. One particular application of the theory, the 4-dimensional multiple resources model, is described in detail, positing that there will be greater interference between two tasks to the extent that they share stages (perceptual/cognitive vs response) sensory modalities (auditory vs visual), codes (visual vs spatial) and channels of visual information (focal vs ambient). A computational rendering of this model is then presented. Examples are given of how the model predicts interference differences in operational environments. Finally, three challenges to the model are outlined regarding task demand coding, task allocation and visual resource competition.

2,130 citations

Journal ArticleDOI
TL;DR: In this paper, the authors extended previous research on two approaches to human-centred automation: intermediate levels of automation (LOAs) for maintaining operator involvement in complex systems control and facilitating situation awareness; and adaptive automation (AA) for managing operator workload through dynamic control allocations between the human and machine over time.
Abstract: This paper extends previous research on two approaches to human-centred automation: (1) intermediate levels of automation (LOAs) for maintaining operator involvement in complex systems control and facilitating situation awareness; and (2) adaptive automation (AA) for managing operator workload through dynamic control allocations between the human and machine over time. Some empirical research has been conducted to examine LOA and AA independently, with the objective of detailing a theory of human-centred automation. Unfortunately, no previous work has studied the interaction of these two approaches, nor has any research attempted to systematically determine which LOAs should be used in adaptive systems and how certain types of dynamic function allocations should be scheduled over time. The present research briefly reviews the theory of human-centred automation and LOA and AA approaches. Building on this background, an initial study was presented that attempts to address the conjuncture of these two approa...

697 citations

Journal ArticleDOI
TL;DR: A review of the literature examines, in a quantitative fashion, how the level of imperfection or unreliability of diagnostic automation affects the performance of the human operator who is jointly consulting that automation and the raw data itself as discussed by the authors.
Abstract: This review of the literature examines, in a quantitative fashion, how the level of imperfection or unreliability of diagnostic automation affects the performance of the human operator who is jointly consulting that automation and the raw data itself. The data from 20 different studies were used to generate 35 different data points that compared performance with varying levels of unreliability, with that of a non-automated baseline condition. A regression analysis of benefits/costs relative to baseline was carried out, and revealed a strong linear function of benefits with reliability. The analysis revealed that a reliability of 0.70 was the ‘crossover point’ below which unreliable automation was worse than no automation at all. The analysis also revealed that performance was more strongly affected by reliability in high workload conditions, implicating the role of workload-imposed automation dependence in producing this relationship, and suggesting that humans tend to protect performance of concurrent ta...

353 citations

Journal ArticleDOI
TL;DR: This paper reviews a long-term programme of research aimed at developing cognitive workload monitoring methods based on EEG measures and provides initial evidence for the scientific and technical feasibility of using EEG-based methods for monitoring cognitive load during human–computer interaction.
Abstract: (2003). Neurophysiological measures of cognitive workload during human-computer interaction. Theoretical Issues in Ergonomics Science: Vol. 4, No. 1-2, pp. 113-131.

343 citations

Journal ArticleDOI
TL;DR: In this article, a review and critique of what is currently known about situation awareness and team SA is presented, including a comparison of the most prominent individual and team models presented in the literature.
Abstract: The concept of situation awareness (SA) is frequently described in the literature. Theoretically, it remains predominantly an individual construct and the majority of the models presented describe SA from an individual perspective. In comparison, team SA has received less attention. SA in complex, collaborative environments thus remains a challenge for the human factors community, both in relation to the development of theoretical perspectives and of valid measures and to the development of guidelines for system, training and procedure design. This article presents a review and critique of what is currently known about SA and team SA, including a comparison of the most prominent individual and team models presented in the literature. In conclusion, it is argued that recently proposed systems level distributed SA approaches are the most suited to describing and assessing SA in real world, collaborative environments.

333 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202313
202272
202165
202040
201938
201822