ACM Symposium on Applied Perception 2020最新文献_第2页

Far Distance Estimation in Mixed Reality 混合现实中的远距离估计

ACM Symposium on Applied Perception 2020 Pub Date : 2020-09-12 DOI: 10.1145/3385955.3407933

Holly C. Gagnon, Lauren E. Buck, Taylor N. Smith, G. Narasimham, Jeanine K. Stefanucci, Sarah H. Creem-Regehr, Bobby Bodenheimer

{"title":"Far Distance Estimation in Mixed Reality","authors":"Holly C. Gagnon, Lauren E. Buck, Taylor N. Smith, G. Narasimham, Jeanine K. Stefanucci, Sarah H. Creem-Regehr, Bobby Bodenheimer","doi":"10.1145/3385955.3407933","DOIUrl":"https://doi.org/10.1145/3385955.3407933","url":null,"abstract":"Mixed reality is increasingly being used for training, especially for tasks that are difficult for humans to perform such as far distance perception. Although there has been much prior work on the perception of distance in mixed reality, the majority of the work has focused on distances ranging up to about 30 meters. The little work that has investigated distance perception beyond 30 meters has been mixed in terms of whether people tend to over- or underestimate distances in this range. In the current study, we investigated the perception of distances ranging from 25-500 meters in a fully mediated outdoor environment using the ZED Mini and HTC Vive Pro. To our knowledge, no work has examined distance perception to this range in mixed reality. Participants in the study verbally estimated the distances to a variety of objects. Distances were overestimated from 25-200 meters but underestimated from 300-500 meters. Overall, far distance perception in mixed reality may be biased in different directions depending on the range of distances, suggesting a need for future research in this area to support training of far distance perception.","PeriodicalId":434621,"journal":{"name":"ACM Symposium on Applied Perception 2020","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114716349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

The Interestingness of 3D Shapes 3D形状的趣味性

ACM Symposium on Applied Perception 2020 Pub Date : 2020-09-12 DOI: 10.1145/3385955.3407925

Manfred Lau, Luther Power

引用次数: 1

Walk Ratio: Perception of an Invariant Parameter of Human Walk on Virtual Characters 行走比率:虚拟角色感知人类行走的一个不变参数

ACM Symposium on Applied Perception 2020 Pub Date : 2020-09-12 DOI: 10.1145/3385955.3407926

Benjamin Niay, A. Olivier, Katja Zibrek, J. Pettré, Ludovic Hoyet

{"title":"Walk Ratio: Perception of an Invariant Parameter of Human Walk on Virtual Characters","authors":"Benjamin Niay, A. Olivier, Katja Zibrek, J. Pettré, Ludovic Hoyet","doi":"10.1145/3385955.3407926","DOIUrl":"https://doi.org/10.1145/3385955.3407926","url":null,"abstract":"Synthesizing motions that look realistic and diverse is a challenging task in animation. Therefore, a few generic walking motions are typically used when creating crowds of walking virtual characters, leading to a lack of variations as motions are not necessarily adapted to each and every virtual character’s characteristics. While some attempts have been made to create variations, it appears necessary to identify the relevant parameters that influence users’ perception of such variations to keep a good trade-off between computational costs and realism. In this paper, we therefore investigate the ability of viewers to identify an invariant parameter of human walking named the Walk Ratio (step length to step frequency ratio), which was shown to be specific to each individual and constant for different speeds, but which has never been used to drive animations of virtual characters. To this end, we captured 2 female and 2 male actors walking at different freely chosen speeds, as well as at different combinations of step frequency and step length. We then performed a perceptual study to identify the Walk Ratio that was perceived as the most natural for each actor when animating a virtual character, and compared it to the Walk Ratio freely chosen by the actor during the motion capture session. We found that Walk Ratios chosen by observers were in the range of Walk Ratios measured in the literature, and that participants perceived differences between the Walk Ratios of animated male and female characters, as evidenced in the biomechanical literature. Our results provide new considerations to drive the animation of walking virtual characters using the Walk Ratio as a parameter, and might provide animators with novel means to control the walking speed of characters through simple parameters while retaining the naturalness of the locomotion.","PeriodicalId":434621,"journal":{"name":"ACM Symposium on Applied Perception 2020","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126013145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Evalu-light: A practical approach for evaluating character lighting in real-time 评估光:一个实用的方法来评估实时字符照明

ACM Symposium on Applied Perception 2020 Pub Date : 2020-09-12 DOI: 10.1145/3385955.3407937

Pisut Wisessing, R. Mcdonnell

引用次数: 0

Novel Automotive Lamp Configurations: Computer-Based Assessment of Perceptual Efficiency 新型汽车灯配置:基于计算机的感知效率评估

ACM Symposium on Applied Perception 2020 Pub Date : 2020-09-12 DOI: 10.1145/3385955.3407936

P. Veto

{"title":"Novel Automotive Lamp Configurations: Computer-Based Assessment of Perceptual Efficiency","authors":"P. Veto","doi":"10.1145/3385955.3407936","DOIUrl":"https://doi.org/10.1145/3385955.3407936","url":null,"abstract":"Perceptual studies on pedestrians and bicyclists have shown that highlighting the most informative features of the road user increases visibility in real-life traffic scenarios. As technological limitations on automotive lamp configurations are decreasing, prototypes display novel layouts driven by aesthetic design. Could these advances also be used to aid perceptual processes? We tested this question in a computer-based visual search experiment. 3D rendered images of the frontal view of a motorbike and of a car with regular (REG) or contour enhancing (CON) headlamp configurations were compiled into scenes, simulating the crowding effect in night-time traffic. Perceptual performance in finding a target motorbike (present in 2/3 of all trials) among 28 cars of either condition was quantified through discriminability, reaction time, and eye movement measures. All measures showed a significant perceptual advantage in CON vs REG trials. Results suggest that facilitating object perception in traffic by highlighting relevant features of vehicles could increase visual performance in both speed and discriminability. Furthermore, the associated gain in eye movement efficiency may decrease fatigue. Similar methods, with varying trade-off ratios between fidelity and low-level control, could be applied to design the most ideal lamp configuration for traffic safety.","PeriodicalId":434621,"journal":{"name":"ACM Symposium on Applied Perception 2020","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128448687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Incorporating the Perception of Visual Roughness into the Design of Mid-Air Haptic Textures 将视觉粗糙感融入到半空触觉纹理设计中

ACM Symposium on Applied Perception 2020 Pub Date : 2020-09-12 DOI: 10.1145/3385955.3407927

David Beattie, W. Frier, Orestis Georgiou, Benjamin Long, Damien Ablart

{"title":"Incorporating the Perception of Visual Roughness into the Design of Mid-Air Haptic Textures","authors":"David Beattie, W. Frier, Orestis Georgiou, Benjamin Long, Damien Ablart","doi":"10.1145/3385955.3407927","DOIUrl":"https://doi.org/10.1145/3385955.3407927","url":null,"abstract":"Ultrasonic mid-air haptic feedback enables the tactile exploration of virtual objects in digital environments. However, an object’s shape and texture is perceived multimodally, commencing before tactile contact is made. Visual cues, such as the spatial distribution of surface elements, play a critical first step in forming an expectation of how a texture should feel. When rendering surface texture virtually, its verisimilitude is dependent on whether these visually inferred prior expectations are experienced during tactile exploration. To that end, our work proposes a method where the visual perception of roughness is integrated into the rendering algorithm of mid-air haptic texture feedback. We develop a machine learning model trained on crowd-sourced visual roughness ratings of texture images from the Penn Haptic Texture Toolkit (HaTT). We establish tactile roughness ratings for different mid-air haptic stimuli and match these ratings to our model’s output, creating an end-to-end automated visuo-haptic rendering algorithm. We validate our approach by conducting a user study to examine the utility of the mid-air haptic feedback. This work can be used to automatically create tactile virtual surfaces where the visual perception of texture roughness guides the design of mid-air haptic feedback.","PeriodicalId":434621,"journal":{"name":"ACM Symposium on Applied Perception 2020","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129228690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

RIT-Eyes: Rendering of near-eye images for eye-tracking applications RIT-Eyes:眼动追踪应用的近眼图像渲染

ACM Symposium on Applied Perception 2020 Pub Date : 2020-06-05 DOI: 10.1145/3385955.3407935

Nitinraj Nair, Rakshit Kothari, A. Chaudhary, Zhizhuo Yang, Gabriel J. Diaz, J. Pelz, Reynold J. Bailey

引用次数: 11