Design and Validation of HABTA: Human Attention-Based Task Allocator

Maanen, Peter-Paul van; Koning, L. de; Dongen, Kees van

doi:10.1007/978-3-540-85379-4_35

Cited by 4 publications

(5 citation statements)

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“…Third, the approach assumes that participants are sufficiently capable of estimating where their own attention is. Although some evidence exists that this is indeed the case [13], this assumption can be tested more precisely. Finally, it is an open question to what extent the results can be generalised to other scenarios and circumstances.…”

Section: Discussionmentioning

confidence: 99%

“…The same holds for a naval operator monitoring the movements of hostile vessels on a radar screen. In such situations, a person may be supported by an intelligent ambient agent system [1], that keeps track of where his or her attention is, and provides some personalized assistance in case the attention is not where it should be, see, e.g., [4], [13].…”

Section: Introductionmentioning

confidence: 99%

“…In previous work, an initial version of such a model has been developed [3], and evaluated positively [13]. This model takes two types of sensor information as input, namely information about the human's gaze (e.g., measured by an eye tracker), and characteristics of stimuli (e.g., the colour and speed of airplanes on radar screens, or of the persons on surveillance images).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Integrated Agent Model for Attention and Functional State

Bosse

Lambalgen

Maanen

et al. 2012

Advanced Research in Applied Artificial Intelligence

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Integrated Agent Model for Attention and Functional State

Bosse

Lambalgen

Maanen

et al. 2012

Advanced Research in Applied Artificial Intelligence

Self Cite

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“…Contacts that were mistakenly identified as a threat (false alarm) or contacts that were mistakenly not identified as a threat (miss) resulted in a lower performance score. More details about the task environment are described in Van Maanen, de Koning, & van Dongen (2007). The second task (gauge task) was to monitor the temperature of the radar displayed on a meter (Figure 2).…”

Section: Proceedings Of the Human Factors And Ergonomics Society 52ndmentioning

confidence: 99%

Effects of Task Performance and Task Complexity on the Validity of Computational Models of Attention

Koning

Maanen

Dongen

2008

Proceedings of the Human Factors and Ergonomics Society Annual

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Computational models of attention can be used as a component of decision support systems. For accurate support, a computational model of attention has to be valid and robust. The effects of task performance and task complexity on the validity of three different computational models of attention were investigated in an experiment. The gaze-based model uses gaze behavior to determine where the subject's attention is, the task-based model uses information about the task and the combined model uses both gaze behavior and task information. While performing a tactical compilation task, participants had to indicate to what set of objects their attention was allocated. The indications of the participants were compared with the estimations of the three models. The results show that overall, the estimation of the combined model was better than that of the other two models. Contrary to what was expected, the performance of the models was not different for good and bad performers and was not different for a simple and complex scenario. The difference in complexity and performance might not have been strong enough. Further research is needed to determine if improvement of the combined model is possible with additional features and if computational models of attention can effectively be used in decision support systems. This can be done using a similar validation methodology as presented in this paper.

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“…Several authors have developed a combined approach to the development and validation of cognitive models for human-computer systems [16,17]. When used in applications where human error in the allocation of attention is likely to occur, these systems are able to detect overand under-allocation of attention and react in a way that helps human subjects.…”

Section: Introductionmentioning

confidence: 99%