论文标题

数据感觉:探索视频游戏中的视觉效果以支持感官任务

Data Feel: Exploring Visual Effects in Video Games to Support Sensemaking Tasks

论文作者

Zhou, Hongwei, Forbes, Angus G.

论文摘要

本文探讨了视频游戏中常见的视觉效果的使用,这些效果支持一系列任务,这些任务在许多方面都可以分析视觉分析工具中支持的任务。尽管某些视觉效果旨在增加参与度或支持游戏的整体视觉设计,但我们发现在许多游戏中,视觉效果在整个游戏中都使用,以帮助玩家推理游戏世界。在这项工作中,我们调查了各种类别(从休闲游戏到“三重A”游戏)的流行游戏,专门针对视觉效果,这些效果支持玩家在游戏世界中的感觉。根据对这些游戏的分析,我们确定了一系列任务,这些任务可以从使用“数据感觉”中受益,并主张继续研究视觉效果及其在数据可视化软件工具中的应用。

This paper explores the use of visual effects common in video games that support a range of tasks that are similar in many ways to analysis tasks supported in visual analytics tools. While some visual effects are meant to increase engagement or to support a game's overall visual design, we find that in many games visual effects are used throughout gameplay in order to assist a player in reasoning about the game world. In this work, we survey popular games across a range of categories (from casual games to "Triple A" games), focusing specifically on visual effects that support a player's sensemaking within the game world. Based on our analysis of these games, we identify a range of tasks that could benefit from the use of "data feel," and advocate for the continued investigation of visual effects and their application in data visualization software tools.

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