Studying the Mental Effort in Virtual Versus Real Environments

Luong, Tiffany; Martin, Nicolas; Argelaguet, Ferran; Lécuyer, Anatole

doi:10.1109/vr.2019.8798029

Cited by 14 publications

(11 citation statements)

References 36 publications

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“…As for the performance measures, those mainly depend on the type of task. This is also the case for behavioural measures, which have shown to be influenced by MWL, especially in VR [8,9,37,49].…”

Section: Mental Workload Measuresmentioning

confidence: 77%

Introducing Mental Workload Assessment for the Design of Virtual Reality Training Scenarios

Luong

Argelaguet

Martin

et al. 2020

2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

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Training is one of the major use cases of Virtual Reality (VR) due to the flexibility and reproducibility of VR simulations. However, the use of the user's cognitive state, and in particular mental workload (MWL), remains largely unexplored in the design of training scenarios. In this paper, we propose to consider MWL for the design of complex training scenarios involving multiple parallel tasks in VR. The proposed approach is based on the assessment of the MWL elicited by each potential task configuration in the training application. Following the assessment, the resulting model is then used to create training scenarios able to modulate the user's MWL over time. This approach is illustrated by a VR flight training simulator based on the Multi-Attribute Task Battery II, which solicits different cognitive resources, able to generate 12 different tasks configurations. A first user study (N = 38) was conducted to assess the MWL for each task configuration using self-reports and performance measurements. This assessment was then used to generate three training scenarios in order to induce different levels of MWL over time. A second user study (N = 14) confirmed that the proposed approach was able to induce the expected mental workload over time for each training scenario. These results pave the way to further studies exploring how MWL modulation can be used to improve VR training applications.

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Section: Mental Workload Measuresmentioning

confidence: 77%

Introducing Mental Workload Assessment for the Design of Virtual Reality Training Scenarios

Luong

Argelaguet

Martin

et al. 2020

2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

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“…Combining ACS and VR has advantages in several application fields. Among the 63 studies retained in this survey, most focused on global VR applications to understand how users felt in a VR context and how to enhance VR application using the user's mental state (i.e., 37 studies) [5,11,13,14,15,16,19,20,29,32,34,36,37,46,47,48,49,55,56,58,60,74,79,83,86,88,89,90,91,98,105,108,113,117,124,140,143]. 10 focused on artificial intelligence (AI) applications by training ACS recognition models in VR [2,21,24,92,93,96,100,121,126,150].…”

Section: Affective and Cognitive Virtual Realitymentioning

confidence: 99%

A Survey on Affective and Cognitive VR

Luong¹,

Lécuyer

Martin³

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…However, for healthy adults, it has been consistently shown that the cognitive load induced by the dual task does not change gait characteristics such as stride length and walking stability but only reduce their walking speed [12]. Compared to reality, it has been shown that subjects could perform the serial N subtraction task equally well in VR [18]. Moreover, the dual task has also been used to investigate the impact of cognitive load on spatial orientation [17].…”

Section: Related Workmentioning

confidence: 99%

Effect of Cognitive Load on Curvature Redirected Walking Thresholds

Nguyen

Rothacher

Efthymiou

et al. 2020

26th ACM Symposium on Virtual Reality Software and Technology

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To allow users to perform real walking in a virtual environment larger than the physical space, redirected walking (RDW) techniques could be employed. Users do not notice this manipulation and immersion remains intact when RDW is applied within certain thresholds. Although many studies on RDW detection thresholds exists, in none of these studies, users were performing an additional task during the threshold identification process. These existing thresholds could be only conservative estimates and the potential of RDW may not be fully utilized. In this paper, we present an experiment to investigate the effect of cognitive load on curvature RDW thresholds. The cognitive load was imposed using a dual task of serial seven subtraction. Results showed that gender and cognitive load have significant effects on curvature RDW thresholds. More specifically, men are on average more sensitive to RDW than women, and being engaged in a dual task increases users' RDW thresholds. CCS CONCEPTS • Human-centered computing → Virtual reality; Empirical studies in HCI ; • Applied computing → Psychology.

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Studying the Mental Effort in Virtual Versus Real Environments

Cited by 14 publications

References 36 publications

Introducing Mental Workload Assessment for the Design of Virtual Reality Training Scenarios

Introducing Mental Workload Assessment for the Design of Virtual Reality Training Scenarios

A Survey on Affective and Cognitive VR

Effect of Cognitive Load on Curvature Redirected Walking Thresholds

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