Prediction in social path following

Carmine Oliva, H. Vilhjálmsson
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引用次数: 5

Abstract

Path following in games mostly focuses on avoiding collisions with dynamic physical objects that appear along a chosen path to a given destination. Some work also attempts to humanize the abstract path returned by a path finding algorithm through methods like smoothing. Games typically do not consider social factors during path following, even though many depict social environments. Social path following considers the social environment in particular, carving a trajectory that reflects awareness of other human beings and their social activities. This includes awareness of territories that have social significance but no concrete physical form, such as the space between those having a conversation. This paper describes work that extends a state-of-the-art predictive method for path following with social awareness, predicting and avoiding social collisions. The work builds on a platform for social simulation, which already models social territoriality and gaze behavior. The results appear promising and highlight the importance of perceiving and dealing with the social space along with the physical one.
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社会路径跟随的预测
游戏中的路径跟踪主要关注于避免与沿着给定目的地的选定路径出现的动态物理对象发生碰撞。一些工作还试图通过平滑等方法使寻路算法返回的抽象路径人性化。游戏通常不会在路径跟随过程中考虑社交因素,尽管许多游戏都描绘了社交环境。社会路径跟踪特别考虑社会环境,雕刻出反映其他人及其社会活动意识的轨迹。这包括对具有社会意义但没有具体物理形式的领域的认识,例如正在交谈的人之间的空间。本文描述的工作扩展了最先进的预测方法,用于具有社会意识的路径跟随,预测和避免社会冲突。这项工作建立在一个社会模拟平台上,该平台已经模拟了社会领土和凝视行为。结果似乎很有希望,并强调了感知和处理社会空间与物理空间的重要性。
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