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Full-text held externally
- DOI: 10.15127/1.262244
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Keyboard and Mouse Data from a First-Person Shooter: Red Eclipse
Buckley, David; Chen, Ke; Knowles, Joshua
[Observational data]. The University of Manchester.
Access to files
- games-json.ZIP (x-zip-compressed)
- games-json_tar.GZ (x-gzip)
- games-p.ZIP (x-zip-compressed)
- games-p_tar.GZ (x-gzip)
- users.JSON (octet-stream)
- users.P (octet-stream)
- sessions.JSON (octet-stream)
- sessions.P (octet-stream)
- autoclass.ZIP (x-zip-compressed)
- example.PY (plain)
- information.PDF (pdf)
- red-eclipse.PDF (pdf)
- experiment.CFG (octet-stream)
- demographics.PDF (pdf)
Abstract
Although some datasets exist that concern player input to a video game, these either use unconventional modes of input or concern trivial games. This dataset provides full keyboard and mouse data for a non-trivial, commercial-quality first-person shooter. Designed to explore skill capture in a video game, it also includes several high-level data such as kills, shots fired and points scored. In addition, it contains some basic affective responses to each of the games. Participants in the experiment alternated between playing a 3 minute deathmatch on a desktop computer and answering questions about their experience of the game. Every second game participants filled in an additional questionnaire to compare their previous two games. This dataset contains 476 games from 45 different players over two experiments that ran between 2013-02-17 to 2013-03-01 and 2013-12-02 to 2013-01-22. The data provided also includes information about the experiment to aid reproducibility, and some helper scripts for managing the data.
Keyword(s)
first-person shooter; keyboard; low-level input; mouse; skill capture