Based on participants’ responses, we determine the scaling factors for noise attenuation perceived as most natural for each character when using motion-captured eye motions. Participants watched stimuli with six scaling factors from 0 to 1 in increments of 0.2, varying eye rotation and pupil size jitter individually, and they had to indicate if they would like to increase or decrease the level of jitter to make the animation look more natural. In this article, we investigate the perceived naturalness of detailed eye motions, more specifically of jitter of the eyeball rotation and pupil diameter on three virtual characters with differing levels of realism. Believable and natural animation of the eyes is therefore crucial when creating appealing virtual characters. Even subtle details in the eyes’ motions give us clues about a person’s thoughts and emotions. Implications are discussed, as results for VCAs viewed in HMDs appear to differ from face-to-face scenarios.Įye motions constitute an important part of our daily face-to-face interactions. In contrast to real-world studies, participants consistently misjudged eye-gaze direction based on target location, but not based on the avatar’s head turn direction. Results did not show a difference in accuracy between HMD resolutions, while the task became significantly harder for target locations further away from the user. The HMD resolution, target position, and VCA’s eye-gaze direction were varied. Wearing one of two head-mounted displays (HMDs), 36 participants rotated a VCA to look at a target. A repeated measures experiment was conducted that explored users’ ability to evaluate where a volumetrically captured avatar (VCA) was looking. Due to limitations in these experiences, such as the content being fixed at the point of filming, an understanding of eye-gaze awareness is critical. Volumetric capture allows the creation of near-video-quality content that can be explored with six degrees of freedom.

Mocap 3ds max 7 projects