Affective Multimodal Counter-Strike video game dataset (AMuCS) - Public
收藏DataCite Commons2026-05-05 更新2026-05-06 收录
下载链接:
https://yareta.unige.ch/archives/8563a0e8-0242-4c67-98fe-8b929b5a403a
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资源简介:
This dataset consists of data collected from 245 participants. It was recorded at four large LAN events in Switzerland which took place between October 2020 and April 2022. Physiological and behavioural data was recorded from groups of 2 or 4 participants playing a round of team deathmatch in the game CounterStrike: Global Offensive. The gameplay was then continuously self-annotated according to either valence or arousal.
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To gain access to this dataset please follow this procedure:
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本数据集包含245名参与者的采集数据,其采集自2020年10月至2022年4月间在瑞士举办的四场大型局域网(LAN)赛事。研究采集了2人或4人组队参与《反恐精英:全球攻势》(Counter-Strike: Global Offensive)团队死斗模式对局的参与者生理与行为数据。随后对局过程将按照情绪效价(valence)或唤醒度(arousal)进行连续自标注。
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如需获取本数据集,请遵循以下流程:
1. 点击对应按钮发起访问申请;
2. 注册需拥有switch-edu账号,任何人均可创建此类账号;
3. 下载、签署最终用户许可协议(End User License Agreement,EULA)并附加至申请表格;
4. 我方将在核实信息后批准你的申请。
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提供机构:
Université de Genève, Yareta
创建时间:
2025-06-26



