Detection response tasks

Conti, Antonia S.; Dlugosch, Carsten; Bengler, Klaus

doi:10.1145/2390256.2390298

Cited by 9 publications

(3 citation statements)

References 4 publications

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“…This stems from the logic that underpins multiple resource theory (Wickens, 2008, Wickens, 2002). Second, there is evidence that the tDRT is as sensitive as other methods of DRT implementation in the measurement of cognitive workload (Conti et al, 2012; Merat & Jamson, 2008; Stojmenova et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

“…Previous research has shown some utility in controlled environments, such as Engstrom et al (2013) and Young et al (2013) who demonstrated that changes in the cognitive demands of an n -back task are reflected in corresponding DRT data. Furthermore, several studies have evaluated the effects of stimulus presentation modality (Conti et al, 2012; Merat & Jamson, 2008; Stojmenova et al, 2017; van Winsum, 2019), with results showing tactile, auditory, and visual stimuli are all sensitive to workload change. These results provide a positive start, but are restricted to the atypical stimulus and response modalities used (auditory stimulus presentation with vocal responses).…”

Section: Introductionmentioning

confidence: 99%

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A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments

et al. 2020

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Objective The present research applied a well-established measure of cognitive workload in driving literature to an in-lab paradigm. We then extended this by comparing the in-lab version of the task to an online version. Background The accurate and objective measurement of cognitive workload is important in many aspects of psychological research. The detection response task (DRT) is a well-validated method for measuring cognitive workload that has been used extensively in applied tasks, for example, to investigate the effects of phone usage or passenger conversation on driving, but has been used sparingly outside of this field. Method The study investigated whether the DRT could be used to measure cognitive workload in tasks more commonly used in experimental cognitive psychology and whether this application could be extended to online environments. We had participants perform a multiple object tracking (MOT) task while simultaneously performing a DRT. We manipulated the cognitive load of the MOT task by changing the number of dots to be tracked. Results Measurements from the DRT were sensitive to changes in the cognitive load, establishing the efficacy of the DRT for experimental cognitive tasks in lab-based situations. This sensitivity continued when applied to an online environment (our code for the online DRT implementation is freely available at https://osf.io/dc39s/ ), though to a reduced extent compared to the in-lab situation. Conclusion The MOT task provides an effective manipulation of cognitive workload. The DRT is sensitive to changes in workload across a range of settings and is suitable to use outside of driving scenarios, as well as via online delivery. Application Methodology shows how the DRT could be used to measure sources of cognitive workload in a range of human factors contexts.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments

et al. 2020

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“…This is an interesting finding as it differs compared to the effect which cognitive load has on responses to artificial stimuli. These responses are so consistently delayed during increased cognitive load that the detection response task (DRT) has become an ISO standard for assessing cognitive load in car drivers (Conti, Dlugosch, Vilimek, Keinath, & Bengler, 2012;International Organization of Standardization, 2016;Stojmenova & Sodnik, 2018). Cognitive load thus have different effects on different mechanisms.…”

Section: The Mechanism Behind Gaze Concentrationmentioning

confidence: 99%

On-to-off-path gaze shift cancellations lead to gaze concentration in cognitively loaded car drivers: A simulator study exploring gaze patterns in relation to a cognitive task and the traffic environment

Nilsson

Victor

Aust

et al. 2020

Transportation Research Part F: Traffic Psychology and Behaviou

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Driver Distraction

Bengler

2014

Encyclopedia of Automotive Engineering

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The car driver can be supported in a remarkable way by additional information inside and outside the vehicle. Navigation, route guidance, and traffic message systems are only selected examples. In addition, comfort and infotainment systems increase the car's functionality. This must not lead to increased driver distraction but should make driving easier, more efficient, and safer. According to this, guidelines and standards were published that address the development of ergonomically optimized in‐vehicle human–machine interaction ( HMI ) and the assessment of driver distraction using digital human models or experimental procedures. A stringent application of this knowledge and methodology will help to avoid negative side effects while introducing additional information and functionality to a complex environment.

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Detection response tasks

Cited by 9 publications

References 4 publications

A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments

A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments

On-to-off-path gaze shift cancellations lead to gaze concentration in cognitively loaded car drivers: A simulator study exploring gaze patterns in relation to a cognitive task and the traffic environment

Driver Distraction

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