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.本数据集面向84名游玩横版卷轴云游戏《Somi》的电脑游戏玩家，包含眼动追踪（eye tracking）数据。该游戏以云端向玩家流式传输视频的形式运行。数据集包含135段720p分辨率的原始YUV视频，以及双眼（左眼与右眼）的眼动追踪数据。本次研究招募男女受试者在远程眼动追踪设备前进行游戏游玩，针对每位玩家，我们记录了其注视点、游戏过程的视频帧，以及键鼠操作指令。同时，为每一段视频帧配套记录其所对应的游戏对象列表，包含各对象的位置与尺寸信息。上述数据与眼动追踪数据同步后，可用于计算每位玩家对各单个或组合游戏对象的注意力分配占比。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。