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Perceptual Effects of Inconsistency in Human Animations

Published: 13 February 2019 Publication History

Abstract

The individual shape of the human body, including the geometry of its articulated structure and the distribution of weight over that structure, influences the kinematics of a person’s movements. How sensitive is the visual system to inconsistencies between shape and motion introduced by retargeting motion from one person onto the shape of another? We used optical motion capture to record five pairs of male performers with large differences in body weight, while they pushed, lifted, and threw objects. From these data, we estimated both the kinematics of the actions as well as the performer’s individual body shape. To obtain consistent and inconsistent stimuli, we created animated avatars by combining the shape and motion estimates from either a single performer or from different performers. Using these stimuli we conducted three experiments in an immersive virtual reality environment. First, a group of participants detected which of two stimuli was inconsistent. Performance was very low, and results were only marginally significant. Next, a second group of participants rated perceived attractiveness, eeriness, and humanness of consistent and inconsistent stimuli, but these judgements of animation characteristics were not affected by consistency of the stimuli. Finally, a third group of participants rated properties of the objects rather than of the performers. Here, we found strong influences of shape-motion inconsistency on perceived weight and thrown distance of objects. This suggests that the visual system relies on its knowledge of shape and motion and that these components are assimilated into an altered perception of the action outcome. We propose that the visual system attempts to resist inconsistent interpretations of human animations. Actions involving object manipulations present an opportunity for the visual system to reinterpret the introduced inconsistencies as a change in the dynamics of an object rather than as an unexpected combination of body shape and body motion.

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cover image ACM Transactions on Applied Perception
ACM Transactions on Applied Perception  Volume 16, Issue 1
January 2019
104 pages
ISSN:1544-3558
EISSN:1544-3965
DOI:10.1145/3310277
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 February 2019
Accepted: 01 September 2018
Revised: 01 September 2018
Received: 01 February 2018
Published in TAP Volume 16, Issue 1

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Author Tags

  1. Retargeting
  2. action
  3. animated avatars
  4. discrimination
  5. human animation
  6. inconsistency
  7. perception
  8. realism
  9. shape capture

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  • Research-article
  • Research
  • Refereed

Funding Sources

  • Intel, Nvidia, Adobe, Facebook, and Amazon
  • International Research and Training Grant “The Brain in Action” (CREATE/DFG)
  • NSERC Discovery grant and the Humboldt Research Award to NFT
  • MPI
  • Meshcapade GmbH

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Cited By

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  • (2024)Understanding the Impact of Visual and Kinematic Information on the Perception of Physicality ErrorsACM Transactions on Applied Perception10.1145/3660636Online publication date: 20-Apr-2024
  • (2024)A Survey on Realistic Virtual Human Animations: Definitions, Features and EvaluationsComputer Graphics Forum10.1111/cgf.1506443:2Online publication date: 30-Apr-2024
  • (2022)Working Memory Capacity of Biological Motion’s Basic Unit: Decomposing Biological Motion From the Perspective of Systematic AnatomyFrontiers in Psychology10.3389/fpsyg.2022.83055513Online publication date: 22-Mar-2022
  • (2021)Object Manipulations in VR Show Task- and Object-Dependent Modulation of Motor PatternsProceedings of the 27th ACM Symposium on Virtual Reality Software and Technology10.1145/3489849.3489858(1-9)Online publication date: 8-Dec-2021
  • (2021)Dual Neural Networks Coupling Data Regression With Explicit Priors for Monocular 3D Face ReconstructionIEEE Transactions on Multimedia10.1109/TMM.2020.299450623(1252-1263)Online publication date: 2021
  • (2020)Attractiveness and Confidence in Walking Style of Male and Female Virtual Characters2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW50115.2020.00190(679-680)Online publication date: Mar-2020

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