Effects of Interacting with a Crowd of Emotional Virtual Humans on Users’ Affective and Non-Verbal Behaviors

Volonte, Matias; Hsu, Yu‐Chun; Liu, Kuan-Yu; Mazer, Joe P.; Wong, Sai‐Keung; Babu, Sabarish V.

doi:10.1109/vr46266.2020.1581610451331

Cited by 19 publications

(24 citation statements)

References 40 publications

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“…There has been a large amount of work showing that having agents' reacting to the user by moving away and avoiding collisions, can enhance presence [4]. Similarly, if agents appear to interact by playing the correct animations when facing the user [5], or addressing the user by talking [6], can also greatly increase presence. The work by Bruneau et al studied collision avoidance of a user immersed in a VR setup and reported differences in the user movement based on the appearance of the virtual characters [7].…”

Section: Related Workmentioning

confidence: 99%

Avatars rendering and its effect on perceived realism in Virtual Reality

Molina

Jerez

Pelechano

2020

2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

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Immersive virtual environments have proven to be a plausible platform to be used by multiple disciplines to simulate different types of scenarios and situations at a low cost. When participants are immersed in a virtual environment experience presence, they are more likely to behave as if they were in the real world. Improving the level of realism should provide a more compelling scenario so that users will experience higher levels of presence, and thus be more likely to behave as if they were in the real world. This paper presents preliminary results of an experiment in which participants navigate through two versions of the same scenario with different levels of realism of both the environment and the avatars. Our current results, from a between subjects experiment, show that the reported levels of quality in the visualization are not significantly different, which means that other aspects of the virtual environment and/or avatars must be taken into account in order to improve the perceived level of realism.

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Section: Related Workmentioning

confidence: 99%

Avatars rendering and its effect on perceived realism in Virtual Reality

Molina

Jerez

Pelechano

2020

2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

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“…Nevertheless, VR opens large perspectives in the design of new experiments for understanding pedestrian behaviours. For examples, having only one participant at the same time, researchers were able to evaluate the effect of specific factors such as emotions of the crowd on participant behaviours and proxemics [7], [23], [49] or the effect of density on gaze behaviour [3], user experience [19] as well as navigation strategies when facing a group of moving people (i.e., going around or going through the group) [9].…”

Section: Pedestrian Interaction Behavioursmentioning

confidence: 99%

Crowd Navigation in VR: Exploring Haptic Rendering of Collisions

Berton

Grzeskowiak

Bonneau

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. Our objective is to understand whether and to what extent providing haptic rendering of collisions during navigation through a virtual crowd (right) makes users behave more realistically. Whenever a collision occurs (center), armbands worn on the arms locally vibrate to render this contact (left). We carried out an experiment with 23 participants, testing both subjective and objective metrics regarding the users' path planning, body motion, kinetic energy, presence, and embodiment.

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“…With the help of EDA data, they were able to quantify emotional responses towards those avatars and analyze how these responses were affected by the visual appearance. Other works compared gaze behavior during contact with real people and agents (Syrjamaki et al, 2020) or the responses to virtual crowds showing different emotions (Volonte et al, 2020).…”

Section: Applications With Agent Interactionmentioning

confidence: 99%

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

Halbig

Latoschik

2021

Front. Virtual Real.

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Measurements of physiological parameters provide an objective, often non-intrusive, and (at least semi-)automatic evaluation and utilization of user behavior. In addition, specific hardware devices of Virtual Reality (VR) often ship with built-in sensors, i.e. eye-tracking and movements sensors. Hence, the combination of physiological measurements and VR applications seems promising. Several approaches have investigated the applicability and benefits of this combination for various fields of applications. However, the range of possible application fields, coupled with potentially useful and beneficial physiological parameters, types of sensor, target variables and factors, and analysis approaches and techniques is manifold. This article provides a systematic overview and an extensive state-of-the-art review of the usage of physiological measurements in VR. We identified 1,119 works that make use of physiological measurements in VR. Within these, we identified 32 approaches that focus on the classification of characteristics of experience, common in VR applications. The first part of this review categorizes the 1,119 works by field of application, i.e. therapy, training, entertainment, and communication and interaction, as well as by the specific target factors and variables measured by the physiological parameters. An additional category summarizes general VR approaches applicable to all specific fields of application since they target typical VR qualities. In the second part of this review, we analyze the target factors and variables regarding the respective methods used for an automatic analysis and, potentially, classification. For example, we highlight which measurement setups have been proven to be sensitive enough to distinguish different levels of arousal, valence, anxiety, stress, or cognitive workload in the virtual realm. This work may prove useful for all researchers wanting to use physiological data in VR and who want to have a good overview of prior approaches taken, their benefits and potential drawbacks.

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Effects of Interacting with a Crowd of Emotional Virtual Humans on Users’ Affective and Non-Verbal Behaviors

Cited by 19 publications

References 40 publications

Avatars rendering and its effect on perceived realism in Virtual Reality

Avatars rendering and its effect on perceived realism in Virtual Reality

Crowd Navigation in VR: Exploring Haptic Rendering of Collisions

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

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