The effects of appearance and motion of virtual characters on emotional reactivity

Mousas, Christos; Anastasiou, Dimitris; Spantidi, Ourania

doi:10.1016/j.chb.2018.04.036

Cited by 77 publications

(44 citation statements)

References 57 publications

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“…For this reason, we plan to further investigate the effects of haptic feedback during close interaction (bumps, virtual hugs, collision avoidance, etc.) with virtual characters with variations in their appearance and motion . In addition to adding variety and unpredictability to our haptic feedback conditions, it may be necessary to explore ways in which physiological data can accurately and realistically be obtained in virtual reality, a medium that is often interactive in the form of user movement.…”

Section: Discussionmentioning

confidence: 99%

“…with virtual characters with variations in their appearance and motion. 33 In addition to adding variety and unpredictability to our haptic feedback conditions, it may be necessary to explore ways in which physiological data can accurately and realistically be obtained in virtual reality, a medium that is often interactive in the form of user movement. Lastly, the inclusion of participants with specific characteristics (e.g., students with phobias, anxiety, and depression) in our future studies may provide new insights into physiological arousal, human emotion, and perception where haptic feedback is concerned.…”

Section: Discussionmentioning

confidence: 99%

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Human–virtual character interaction: Toward understanding the influence of haptic feedback

Krogmeier¹,

Mousas

Whittinghill³

2019

Computer Animation & Virtual

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In this study, we compare haptic feedback and nonhaptic feedback conditions in which virtual characters bump into the participant who is immersed in a virtual environment. A questionnaire was developed to determine the influence of haptic feedback on a number of concepts (presence, embodiment, positive and negative affect, interaction realism with virtual character, and haptic feedback realism). Physiological data were also collected using galvanic skin response (GSR) to investigate the influence of haptic feedback on physiological arousal during human–virtual character interaction. Five conditions were developed (no haptic feedback, full intensity, half intensity, incorrect position, and delayed timing) to determine which aspects of haptic feedback are most important in influencing participant responses. Significant differences were found in embodiment, realism of virtual character interaction, and haptic feedback realism. In addition, significant differences were found in GSR amplitude after the first interaction with the virtual character. Implications for further research are discussed.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Human–virtual character interaction: Toward understanding the influence of haptic feedback

Krogmeier¹,

Mousas

Whittinghill³

2019

Computer Animation & Virtual

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“…Additionally, developing experimental scenarios in which participants have to perform more complex locomotion tasks, e.g., side stepping or passing through narrow hallways, might be necessary to further understand the impact that the motion artifacts have on the sense of self-agency. Finally, in our future work, we would like to explore whether the sense of self-agency is affected when providing tactile feedback [52,53] to participant's body as well as how participants perceive self-agency when embodied to a virtual character with variations on his/her appearance [54,55].…”

Section: Discussionmentioning

confidence: 99%

The Effects of Motion Artifacts on Self-Avatar Agency

2019

Self Cite

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One way of achieving self-agency in virtual environments is by using a motion capture system and retargeting user’s motion to the virtual avatar. In this study, we investigated whether the self-agency is affected when motion artifacts appear on top of the baseline motion capture data assigned to the self-avatar. For this experiment, we implemented four artifacts: noise, latency, motion jump, and offset rotation of joints. The data provided directly from the motion capture system formed the baseline of the study. We developed three observation tasks to assess self-agency: self-observation, observation through a virtual mirror, and observation during locomotion. A questionnaire was adopted and used to capture the self-agency of participants. We analyzed the collected responses of participants to determine whether the motion artifacts significantly altered the participants’ sense of self-agency. The obtained results indicated that participants are not always sensitive to the motion artifacts assigned to the self-avatar, but the sense of self-agency is dependent on the observation task they were asked to perform. Implications for further research are discussed.

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“…Two linkages are merged by merging rotation and location of the joint via mass to resolve how the linkage should be valued in communal confidence. If there two motions, Mi and Mj, which are to be merged, two: weight w and weight w , after that the merged location of the k joint of the two motions ( J and J ) are computed by (6).…”

Section: B Motion Blendingmentioning

confidence: 99%

“…They used hierarchical hidden markov model (HMM) to train system on learning the gesture sequence of finger during motion [5]. While, the others researchers aim to investigate the effect of character animation and its movement toward expressive response of students [6]. By using HMD , the participants were asked to evaluate two male and female zombie character during certain period.…”

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confidence: 99%

Performance Driven-biped Control for Animated Human Model with Motion Synthesis Data

Basori

Aljahdali

2018

JISEBI

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Games and 3D movies are mostly supported by realistic character animation performance. The behaviour of the humanoid character it is depend on the motion data itself. Therefore the complexity of character movement will determine the realism of their behaviour. Generally, Motion Capture device will provide the raw data that previously recorded from human/actor movement. However there are some problems remains challenges such as controller, physic effect, or motion combination. Our proposed approach will read the data from motion capture device then transformed into realistic behaviour in virtual environment. However, there are few difficulties on realizing this idea, such as user objective and the appropriate behaviour of virtual human. Therefore, we solve this issue by providing the biped control to overcome the complexity of motion synthesis data when it will be applied into character animation. The controller is capable to perform motion blending with inverse and forward kinematics, as a result it able to generate the realistic behaviour along with user intention. There is three main behaviour walking, steady and jogging that has value 0-100. As a result of experiment, the biped interface control is able to read data from motion capture then load and control the virtual human by manipulating the joint forces power in every movement of the characters. As future works, the external physical forces can be added as additional forces in humanoid model to provide certain effect such as: falling down, jumping or kicking and punching to generate realistic motion synthesis.

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The effects of appearance and motion of virtual characters on emotional reactivity

Cited by 77 publications

References 57 publications

Human–virtual character interaction: Toward understanding the influence of haptic feedback

Human–virtual character interaction: Toward understanding the influence of haptic feedback

The Effects of Motion Artifacts on Self-Avatar Agency

Performance Driven-biped Control for Animated Human Model with Motion Synthesis Data

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