Effects of Virtual Hand Representation on Interaction and Embodiment in HMD-based Virtual Environments Using Controllers

Lougiakis, Christos; Katifori, Akrivi; Ρούσσου, Μαρία; Ioannidis, Ioannis-Panagiotis

doi:10.1109/vr46266.2020.00072

Cited by 31 publications

(5 citation statements)

References 24 publications

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“…In response, Gao and Boehm-Davis [10] developed a general questionnaire for evaluating interactions with objects across various VR applications. Lougiakis et al [24] compared three methods of rendering controllers-a sphere, a virtual controller, and a hand. They found no significant differences in SoA; however, the sphere under-performed significantly, and the controller outperformed the other conditions in the positioning task.…”

Section: Interaction Modes In Virtual Realitymentioning

confidence: 99%

See 1 more Smart Citation

Stretch your reach: Studying Self-Avatar and Controller Misalignment in Virtual Reality Interaction

Ponton,

Keshavarz,

Beacco

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Figure 1: Five interaction modes are proposed to manipulate virtual objects when the user has a full-body avatar animated with Inverse Kinematics. (1) FreeController, the controller is rendered and may appear to fly when the avatar's arm is shorter than the user's arm; (2) AttachedController, the controller is rendered always attached to the user's virtual hand even when the avatar's arm is shorter than the user's arm; (3) Hand, the controller is not rendered and thus the virtual hand reach depends on the avatar's arm length; (4) StretchController, the controller is rendered and the arms stretch to always match the position of the virtual and real hand, thus always holding the virtual controller; similarly (5) StretchHand has the same behavior but without rendering the controller. For a summary of all methods see Table 1.

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Section: Interaction Modes In Virtual Realitymentioning

confidence: 99%

“…4.5.1 Embodiment. Our first set of hypotheses is based on early work on the effect of visual-sensorimotor contingencies, visual features, and proprioception on the SoE [2,19,20,24,25,37]. H1 suggests that aligning visual, tactile, and proprioceptive stimuli enhances the SoE.…”

Section: Hypothesesmentioning

confidence: 99%

Stretch your reach: Studying Self-Avatar and Controller Misalignment in Virtual Reality Interaction

Ponton,

Keshavarz,

Beacco

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

show abstract

“…Conversely, rotary control was rated better when no hand was visualized. Other studies have described clear benefits of visualizing hands in VR [74,75]. In the study by Lougiakis et al [75], the effects of virtual hand representation on interaction and embodiment in VR environments were investigated.…”

Section: Factors Influencing Operation Of Control Elements In Vrmentioning

confidence: 99%

“…Other studies have described clear benefits of visualizing hands in VR [74,75]. In the study by Lougiakis et al [75], the effects of virtual hand representation on interaction and embodiment in VR environments were investigated. The test participants in this study had to move an object through a type of obstacle course.…”

Section: Factors Influencing Operation Of Control Elements In Vrmentioning

confidence: 99%

Design of Control Elements in Virtual Reality—Investigation of Factors Influencing Operating Efficiency, User Experience, Presence, and Workload

Hinricher

Schröer

Backhaus³

2023

Applied Sciences

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Virtual reality (VR) enables prototypes of devices to be evaluated in a simulation of a future usage environment. A disadvantage is the insufficient feedback design during the interaction with prototypes. In this study, we investigated how virtual control elements in VR must be designed to compensate for the lack of feedback. Therefore, 35 participants performed VR tasks using a virtual joystick and virtual rotary control. According to the design of experiments method, 12 factors, such as haptic feedback, sensitivity, size, and shape, were systematically varied. The control accuracy, task time, user experience, presence, and mental workload were recorded. The effect of a factor on the recorded parameters was examined using multifactorial ANOVA. Linear regression was used to calculate the mathematical models between the factors and parameters. These models were used to calculate the optimal design of the control elements in the VR. For rotary control, eight factors had a significant influence on the recorded parameters. There were seven factors for the joystick. With mathematical models, optimized control element designs for VR were calculated for the first time. These findings can help to better adapt prototypes and human–machine interfaces to different modalities in VR.

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“…To examine how personality traits may correlate with measurable user behavior data while performing object manipulation in VR, we used a typical experimental setup for this type of task (Figure 1). Specifically, we benefited from another experiment of ours that studied the sense of embodiment when interacting with different virtual hand representations in VR using controllers (Lougiakis et al, 2020), re-using its VE and object manipulation mechanisms. For the purposes of the study reported in this paper, we used only one representation for the virtual hand, the realistic representation.…”

Section: Experiments Overviewmentioning

confidence: 99%

Exploring the Effect of Personality Traits in VR Interaction: The Emergent Role of Perspective-Taking in Task Performance

Katifori

Lougiakis

Ρούσσου

2022

Front. Virtual Real.

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In this work we explore the effect of personality traits on user interaction in virtual reality (VR), on the less widely studied aspect of task performance during object manipulation. We conducted an experiment measuring the performance of 39 users interacting with a virtual environment using the virtual hand metaphor to execute a simple selection and positioning task, with or without virtual obstacles. Our findings suggest concrete correlations between user personality traits and behavior data. Perspective-taking, in particular, seems to be strongly affecting task performance, highlighting the need for further research. Besides the wider implications of our results in relation to the effect of personality on how users experience VR, our main contribution lies in identifying specific traits that should be taken into account when designing experiments involving users performing such tasks. The study of these traits may also significantly advance our understanding of personality traits as part of the user model in a wider range of VR applications, including those offering personalization and recommendation functionality.

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Effects of Virtual Hand Representation on Interaction and Embodiment in HMD-based Virtual Environments Using Controllers

Cited by 31 publications

References 24 publications

Stretch your reach: Studying Self-Avatar and Controller Misalignment in Virtual Reality Interaction

Stretch your reach: Studying Self-Avatar and Controller Misalignment in Virtual Reality Interaction

Design of Control Elements in Virtual Reality—Investigation of Factors Influencing Operating Efficiency, User Experience, Presence, and Workload

Exploring the Effect of Personality Traits in VR Interaction: The Emergent Role of Perspective-Taking in Task Performance

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