Motion fields for interactive character locomotion

LeeYongjoon,; WamplerKevin,; BernsteinGilbert,; PopovićJovan,; PopovićZoran,

doi:10.1145/1882261.1866160

Cited by 86 publications

(30 citation statements)

References 35 publications

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“…24, p≈.79) or in the character model experiment (F(1,22) = 1.63, p≈. 22). Similar to the other answers, we found a main effect of Level in all three experiments.…”

Section: Satisfactionsupporting

confidence: 87%

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The effect of animation controller and avatar on player perceptions

Normoyle

Jörg

2016

Computer Animation & Virtual

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Real‐time animation controllers are fundamental for animating characters in response to player input in digital games. However, the design of such controllers requires making trade‐offs between the naturalness of the character's motions and the promptness of the character's response. In this paper, we investigate the effects of such trade‐offs on the players' enjoyment, control, satisfaction, and opinion of the character in a simple platform game. In our first experiment, we compare three controllers having the same responsiveness, but varying levels of naturalness. In the second experiment, we compare three controllers having increasing realism at the expense of responsiveness. In our third experiment, we keep motion naturalness and responsiveness constant but vary the avatar. Not surprisingly, our least responsive controller negatively affects players' performance and perceived ability to control the character. However, we also find that players are most satisfied with their own performance using our least natural controller, that differences in animation can significantly alter players' enjoyment with responsiveness being equal, that players do not report increased motion quality with our most natural controller, although viewers outside of the game context do, and that the avatar model affected the perception of the character but not players' enjoyment or perceived realism.

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“…24, p≈.79) or in the character model experiment (F(1,22) = 1.63, p≈. 22). Similar to the other answers, we found a main effect of Level in all three experiments.…”

Section: Satisfactionsupporting

confidence: 87%

“…18 Alternatively, databases of motion clips can be automatically assembled into interactive control policies directly. [19][20][21][22] Interestingly, McCann and Pollard 21 assembled very short motion fragments (0.1 s each) on the fly and showed that occasional low-quality transitions improve overall motion quality.…”

Section: Animation Controllersmentioning

confidence: 99%

The effect of animation controller and avatar on player perceptions

Normoyle

Jörg

2016

Computer Animation & Virtual

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“…Motion graphs were developed as a technique to automatically generate move trees from large motion capture databases [Arikan and Forsyth 2002;Kovar et al 2002;Lee et al 2002] which can then be postprocessed to create interactive controllers [Lee and Lee 2006]. Alternatively, databases of motion clips can be automatically assembled into interactive control policies directly [Gleicher et al 2003;Treuille et al 2007;McCann and Pollard 2007;Lee et al 2010]. Interestingly, McCann and Pollard [2007] assembled very short motion fragments (0.1s each) on the fly and showed that occasional low-quality transitions improve overall motion quality.…”

Section: Animation Controllersmentioning

confidence: 99%

“…Cooper et al [2007] developed a technique for suggesting additional motions to capture to improve the coverage of the controller. To further address such limitations, research has proposed numerous enhancements and alternative approaches to motion graphs [Heck and Gleicher 2007;Arikan and Forsyth 2002;Zhao and Safonova 2008;Chai and Hodgins 2005;Lee et al 2010]. However, even as automatic techniques improve, such methods tend to remain memory intensive, requiring many example motions and a lot of memory to store the corresponding interactive controller.…”

Section: Animation Controllersmentioning

confidence: 99%

Trade-offs between responsiveness and naturalness for player characters

Normoyle

Jörg

2014

Proceedings of the Seventh International Conference on Motion in Games

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Real-time animation controllers are fundamental for animating characters in response to player input. However, the design of such controllers requires making trade-offs between the naturalness of the character's motions and the promptness of the character's response. In this paper, we investigate the effects of such tradeoffs on the players' enjoyment, control, satisfaction, and opinion of the character in a simple platform game. In our first experiment, we compare three controllers having the same responsiveness, but varying levels of naturalness. In the second experiment, we compare three controllers having increasing realism but at the expense of decreased responsiveness. Not surprisingly, our least responsive controller negatively affects players' performance and perceived ability to control the character. However, we also find that players are most satisfied with their own performance using our least natural controller, in which the character moves around the environment in a static pose; that differences in animation can significantly alter players' enjoyment with responsiveness being equal; and that players do not report increased motion quality with our most natural controller, despite viewers outside of a game context rating the same controller as significantly more natural than our other conditions. AbstractReal-time animation controllers are fundamental for animating characters in response to player input. However, the design of such controllers requires making trade-offs between the naturalness of the character's motions and the promptness of the character's response. In this paper, we investigate the effects of such tradeoffs on the players' enjoyment, control, satisfaction, and opinion of the character in a simple platform game. In our first experiment, we compare three controllers having the same responsiveness, but varying levels of naturalness. In the second experiment, we compare three controllers having increasing realism but at the expense of decreased responsiveness. Not surprisingly, our least responsive controller negatively affects players' performance and perceived ability to control the character. However, we also find that players are most satisfied with their own performance using our least natural controller, in which the character moves around the environment in a static pose; that differences in animation can significantly alter players' enjoyment with responsiveness being equal; and that players do not report increased motion quality with our most natural controller, despite viewers outside of a game context rating the same controller as significantly more natural than our other conditions.

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“…Moreover, there is no guarantee that an expected action can be executed quickly, and so, it is difficult to interactively control a character. Recently, statistical models that contain transitions of poses (smaller motion segments) have been proposed , but they have the same problems. Unfortunately, these methods have not been widely implemented in current computer games.…”

Section: Related Workmentioning

confidence: 99%

Interactive motion synthesis with optimal blending

Oshita

2014

Computer Animation & Virtual

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In this paper, we propose an interactive motion synthesis technique that synthesizes a continuous motion sequence from given elementary motions. A user can either specify the execution timings of motions or execute motions in a sequence with automatically determined execution timings. Our method is based on a previous approach that determined the appropriate synthesis method and blending range for each pair of sequential motions, while considering the constraints between the foot and ground in the elementary motions to prevent foot sliding. However, using only the foot‐ground constraints to determine the blending range may generate unnatural motions such as nonsmooth, too fast, or too slow transitions. Moreover, simple motion blending with a regular weight function can generate unnatural motions. To solve these problems, we have introduced an optimal blending range and a weight function, which are determined for each blending segment for the upper and lower body. We also introduced extensions for applying this method to interactive character control. We have successfully applied our method to both animation generation and interactive character control. Copyright © 2014 John Wiley & Sons, Ltd.

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Motion fields for interactive character locomotion

Cited by 86 publications

References 35 publications

The effect of animation controller and avatar on player perceptions

The effect of animation controller and avatar on player perceptions

Trade-offs between responsiveness and naturalness for player characters

Interactive motion synthesis with optimal blending

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