GSET Somi. A Game-Specific Eye Tracking Dataset for Somi

This is an eye tracking dataset of 84 computer game players who played the side-scrolling cloud game Somi. The game was streamed in the form of video from the cloud to the player. The dataset consists of 135 raw videos (YUV) at 720p with eye tracking data for both eyes (left and right). Male and female candidates were asked to play the game in front of a remote eye-tracking device. For each player, we recorded gaze points, video frames of the gameplay, and mouse and keyboard commands. For each video frame, a list of its game objects with their locations and sizes was also recorded. This data, synchronized with eye-tracking data, allows one to calculate the amount of attention that each object or group of objects draw from each player. This dataset can be used for designing and testing game-specific visual attention models.

本数据集针对84名游玩横版卷轴云游戏《Somi》的电脑游戏玩家，采集眼动追踪相关数据。该游戏以云端向玩家传输视频流的形式运行。本数据集包含135段720p分辨率的YUV格式原始视频，同时附带双眼（左眼与右眼）的眼动追踪数据。研究人员招募了男性与女性受试者，要求其在远程眼动追踪设备前游玩该游戏。针对每位玩家，我们记录了其注视点、游戏过程的视频帧以及鼠标与键盘操作指令。同时针对每一段视频帧，我们还记录了该帧内所有游戏对象的位置与尺寸信息列表。该数据与眼动追踪数据同步后，可用于量化每位玩家对各单个游戏对象或对象组的注意力投入占比。本数据集可用于设计与测试面向特定游戏的视觉注意力模型。