2019
DOI: 10.1145/3301411
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Perceptual Effects of Inconsistency in Human Animations

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 thes… Show more

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Cited by 6 publications
(6 citation statements)
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References 47 publications
(62 reference statements)
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“…Shape‐motion inconsistency affected the perceived weight and thrown distance of objects, suggesting that the visual system assimilates shape and motion information to alter the perception of action outcomes. The effect of inconsistencies however varied depending on the action observed, with viewers' detection of inconsistencies between shape and motion being typically close to chance level for transitive actions (i.e., actions involving an object) [KMH*19,RSM*23], but above chance level for walking animations [RSM*23]. Overall, these results suggest that detection rate is typically low, despite slight differences between male and female animations.…”
Section: Taxonomy Of Animation Features Influencing Virtual Human Rea...mentioning
confidence: 88%
See 3 more Smart Citations
“…Shape‐motion inconsistency affected the perceived weight and thrown distance of objects, suggesting that the visual system assimilates shape and motion information to alter the perception of action outcomes. The effect of inconsistencies however varied depending on the action observed, with viewers' detection of inconsistencies between shape and motion being typically close to chance level for transitive actions (i.e., actions involving an object) [KMH*19,RSM*23], but above chance level for walking animations [RSM*23]. Overall, these results suggest that detection rate is typically low, despite slight differences between male and female animations.…”
Section: Taxonomy Of Animation Features Influencing Virtual Human Rea...mentioning
confidence: 88%
“…However, such characteristics could be associated with specific attention mechanisms to the resulting animation that might affect participants' answers and behaviours [ZKM18]. We also want to point out that the majority of the user studies, usually conducted in laboratories, recruited young and healthy adults, i.e., typically students (e.g., age was between 18 and 26 in the work of Kenny et al [KMH*19]). One can then question the generalisation of the results to more diverse population, which is seldom considered in our community.…”
Section: Discussion and Future Challengesmentioning
confidence: 99%
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“…Here we planned to explore whether the BM WMC remain unchanged regardless of the difficulties inherent in BMs, and if not, what underlying anatomical factors or others might have effects through the following three experiments, and hoped to uncover some approaches to partially overcome the above limitations. Using computer-generated motion animations technique, a technology that has been used several times ( Wood, 2007 , 2008 , 2010 ; Goldberg et al, 2015 ; Kenny et al, 2019 ; Kurz et al, 2020 ), by which we can strictly control concerned variables and remain irrelevant ones unchanged, thus enabled us develop more BMs with a low extend of conceptualization and then corroborate some hypothesis. First, we hypothesized that the difficulties inherent in the BMs bear some resemblance to each other but is not identical.…”
Section: Introductionmentioning
confidence: 99%