Virtual Weight Illusion: Weight Perception of Virtual Objects Using Weight Illusions

Maehigashi, Akihiro; Sasada, Akira; Matsumuro, Miki; Shibata, Fumihisa; Kimura, Asako; Niida, Sumaru

doi:10.1145/3411763.3451842

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…Indeed, several software-based and device-based simulation methods make it possible to render weight and thus object masses, as reviewed by Ye [65]. On one hand, software-based solutions mostly rely on sensory substitution and visual feedback such as pseudo-haptic [34]. On the other hand, device-based solutions are mostly divided into two types: those that simulate the static weight of the object and those that simulate its inertia [65].…”

Section: Designing Propsmentioning

confidence: 99%

Investigating Whether the Mass of a Tool Replica Influences Virtual Training Learning Outcomes

Cauquis,

Peillard,

Dominjon

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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Section: Designing Propsmentioning

confidence: 99%

Investigating Whether the Mass of a Tool Replica Influences Virtual Training Learning Outcomes

Cauquis,

Peillard,

Dominjon

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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“…The corresponding rule in reality is: smaller objects look lighter but feel heavier than large objects, bright objects look lighter but feel heavier than dark ones, and objects with lighter materials look lighter but feel heavier than objects with heavier materials. According to their experimental results, the illusion of weight caused by brightness and materials in VR is opposite to that in the real world, but the weight caused by size is the same as in the real world [18]. Changing the brightness to change the user's perception of the weight of an object can be used not only in virtual reality, but also in augmented reality systems [63].…”

Section: Enhancementioning

confidence: 99%

A Survey on Simulation for Weight Perception in Virtual Reality

Ye¹

2021

JCC

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Virtual reality (VR) technology can provide users with an immersive experience as if they are in the real world, which can be applied in the fields of entertainment, education and scientific research, etc. In order to improve the sense of presence and immersion in VR, the design of multimodal feedback is an important component. In particular, the simulation of weight of virtual objects poses many challenges due to the limitations of hardware and software. Many researchers focused on this issue in various ways. These methods are mainly divided into two categories: device-based simulation and software-based simulation. This paper investigates the focus of software-based simulation, particularly for the virtual feedback methods proposed by researchers in recent years. We introduce the background of these proposed methods, technical implementation principles, application scenarios, the advantages and disadvantages of these simulation methods, and the evaluation criteria. We also propose the future challenges and the development of simulation methods for weight perception of virtual objects in VR.

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“…One particular issue is the need to evaluate and measure the sense of presence when using it, especially when subjects deal with heavy objects. Many studies (Rietzler et al, 2018), (Maehigashi et al, 2021), (Lécuyer et al, 2004), (Zenner and Krüger, 2017) focused on virtually induced weights of objects to VR participants focused on the use of subjective measurements to evaluate their pseudo-haptic methods. One issue regarding such measures is that they depend on the subject's point of view and rely only on intuition.…”

Section: Introductionmentioning

confidence: 99%

Weight perception analysis using pseudo-haptic feedback based on physical work evaluation

Moosavi

Raimbaud

Guillet

et al. 2023

Front. Virtual Real.

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Introduction: Since kinesthetic cues are not present in virtual environments, users have difficulty feeling the heaviness of virtual objects. To address this issue, pseudo-haptic approaches have been proposed to illusorily induce the weight of virtual objects through the user’s visual sensory system.Methods: In this paper, we used two methods to induce the impression of virtual objects’ heaviness. One relies on the direct modification of the control-display (C/D) ratio when lifting objects, and the other depends on controlling this ratio based on a velocity restriction. We innovatively measured each approach’s efficiency by analyzing physical work as an objective metric. In addition, we used Borg CR10 to measure users’ hand fatigue during the experimental phases.Results: Our findings are discussed in terms of individual lifting behavior in different pseudo-haptic methods. Furthermore, different virtual weight-lifting behaviors were compared to the same real-world weight-lifting behaviors.Discussion: According to our results, the direct control of the C/D ratio method provides virtual reality users with a more accurate weight perception than the velocity restriction one. Furthermore, with this first method, users’ lifting behavior was closer to the behavior when lifting real objects.

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Virtual Weight Illusion: Weight Perception of Virtual Objects Using Weight Illusions

Cited by 6 publications

References 20 publications

Investigating Whether the Mass of a Tool Replica Influences Virtual Training Learning Outcomes

Investigating Whether the Mass of a Tool Replica Influences Virtual Training Learning Outcomes

A Survey on Simulation for Weight Perception in Virtual Reality

Weight perception analysis using pseudo-haptic feedback based on physical work evaluation

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