Detection-Response Task—Uses and Limitations

Stojmenova, Kristina; Sodnik, Jaka

doi:10.3390/s18020594

Cited by 55 publications

(43 citation statements)

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“…The work [21] presents the results of studies on the type of the nervous system with percentage share of respondents: sanguine -27.2%; choleric -30.3%; phlegmatic -27.2%; melancholic -15.3%. The results close to these are also presented in [20], with the research sample: sanguine persons -26-30%; choleric -28-31%; phlegmatic -25-27%; melancholic -15-19%. These ratios were taken as the basis for the research.…”

Section: Materials and Methods Of Studying The Impact Of Traffic Jam supporting

confidence: 73%

“…The correspondence of the sampling structures and the general population was established according to the type of the nervous system. For the quantitative compilation of the sample and the determination of its conformity with the general population, the research results given in the works [20,21] were used. The work [21] presents the results of studies on the type of the nervous system with percentage share of respondents: sanguine -27.2%; choleric -30.3%; phlegmatic -27.2%; melancholic -15.3%.…”

Section: Materials and Methods Of Studying The Impact Of Traffic Jam mentioning

confidence: 99%

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Modeling the effect of traffic jam on driver’s level of fatigue

et al. 2019

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This study focuses on establishing the dynamics of changes in the level of fatigue of an average driver in a traffic jam, which affects road safety. Linear and nonlinear models of the effect of traffic jam on the level of fatigue of an average driver have been developed, which allow assessing their condition depending on the driver’s age and the duration of the jam. Using a nonlinear regression model, the graphs of changes in the level of fatigue of an average driver of 25 and 65 years are plotted. The analysis of these graphs allowed us to establish the patterns of influence of road parameters on the functional state of the driver. The level of fatigue of the driver, which is determined by the change in his functional state, increases during his stay in the traffic jam. Therefore, the duration of the jam and the initial level of fatigue when entering the jam influence most the final level of fatigue of the driver. The driver’s age affects the level of fatigue to a lesser extent, but still significantly.

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Section: Materials and Methods Of Studying The Impact Of Traffic Jam supporting

confidence: 73%

Section: Materials and Methods Of Studying The Impact Of Traffic Jam mentioning

confidence: 99%

Modeling the effect of traffic jam on driver’s level of fatigue

et al. 2019

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“…Second, we systematically controlled for the size of the visual stimuli, to ensure that they covered the same visual angle at all distances. Third, the presentation duration of stimuli was based on the detection response task [29], a well validated measure for assessing mental workload when multitasking. Finally, for the first time, we have researched how visual stimuli are processed at different distances in connection to the virtual representation of the user.…”

Section: Discussionmentioning

confidence: 99%

Impact of Information Placement and User Representations in VR on Performance and Embodiment

Seinfeld

Feuchtner

Pinzek

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Human sensory processing is sensitive to the proximity of stimuli to the body. It is therefore plausible that these perceptual mechanisms also modulate the detectability of content in VR, depending on its location. We evaluate this in a user study and further explore the impact of the user's representation during interaction. We also analyze how embodiment and motor performance are influenced by these factors. In a dual-task paradigm, participants executed a motor task, either through virtual hands, virtual controllers, or a keyboard. Simultaneously, they detected visual stimuli appearing in different locations. We found that, while actively performing a motor task in the virtual environment, performance in detecting additional visual stimuli is higher when presented near the user's body. This effect is independent of how the user is represented and only occurs when the user is also engaged in a secondary task. We further found improved motor performance and increased embodiment when interacting through virtual tools and hands in VR, compared to interacting with a keyboard. This study contributes to better understanding the detectability of visual content in VR, depending on its location in the virtual environment, as well as the impact of different user representations on information processing, embodiment, and motor performance.

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“…This was included as a prototype research tool in the form of a Detection-Response Task to measure level (cf[35]). Given the only preliminary evaluation so far, we do not report further on this…”

mentioning

confidence: 99%

Anim3

Visscher

Kolkmeier

Langener

et al. 2020

Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play

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Figure 1: The virtual dog outing park where one can interact with the dog. The user can pick up the ball once it is released by the dog by clicking on it, and then has to aim the ball to hit the target, after which the ball is retrieved by the dog. In other moments, it can be fed a bone or drink from a bowl by clicking on that object. The interactions are created for immersive Virtual Reality, for which we foresee opportunities to distract the participant by maintaining a high level of presence in a situation of "acute pain" to lower the pain experience.

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Detection-Response Task—Uses and Limitations

Cited by 55 publications

References 50 publications

Modeling the effect of traffic jam on driver’s level of fatigue

Modeling the effect of traffic jam on driver’s level of fatigue

Impact of Information Placement and User Representations in VR on Performance and Embodiment

Anim3

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