Data
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25439/rmt.28235864.v1&rft.title=Minecraft WoZ Study Dataset&rft.identifier=10.25439/rmt.28235864.v1&rft.publisher=RMIT University, Australia&rft.description=Please fill out this terms of use form before accessing the dataset: https://forms.gle/N8gk6NNsJaBW9AKE7This is the accompanying data published alongside a manuscript detailing an experiment that involved an adaptive companion character through real-time physiological measurement of cognitive load, who was controlled by the wizard, the primary researcher.This dataset presents an array of physiological and log data collected during Minecraft gameplay. It contains the raw EMG, PPG, EDA, game logs, and screen-recorded gameplay from 16 participants. It also contains the scripts for processing the PPG, EDA, and EMG data in real-time, as well as the task instructions and hints provided by the companion. Full details of the data collection (including hardware and software specifications) can be found in the accompanying publication Real-Time Adaptation of a Non-Player Character Companion Using Physiological Signals of the Player by E J Pretty, R Guarese, J Hamari, H M Fayek and F Zambetta.Variable DescriptionsEMG: Measured in volts (V), collected from Myoware Muscle Sensor 1.0EDA: Measured in microsiemens (µS) by the EmotibitPPG: Raw arbitrary units measured by the EmotibitGameplay: Captured by OBS&rft.creator=Emma Pretty&rft.creator=Fabio Zambetta&rft.creator=Haytham Abokela&rft.creator=Juho Hamari&rft.creator=Renan Martins Guarese&rft.date=2025&rft_rights= https://opendatacommons.org/licenses/by/summary/index.html&rft_subject=Affective computing&rft_subject=Human-computer interaction&rft_subject=Cognition&rft_subject=Sensory processes, perception and performance&rft_subject=Cognitive Load&rft_subject=Video Games&rft_subject=Wizard-of-Oz&rft_subject=Companion Characters&rft.type=dataset&rft.language=English Access the data

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Please fill out this terms of use form before accessing the dataset: https://forms.gle/N8gk6NNsJaBW9AKE7

This is the accompanying data published alongside a manuscript detailing an experiment that involved an adaptive companion character through real-time physiological measurement of cognitive load, who was controlled by the wizard, the primary researcher.

This dataset presents an array of physiological and log data collected during Minecraft gameplay. It contains the raw EMG, PPG, EDA, game logs, and screen-recorded gameplay from 16 participants. It also contains the scripts for processing the PPG, EDA, and EMG data in real-time, as well as the task instructions and hints provided by the companion. Full details of the data collection (including hardware and software specifications) can be found in the accompanying publication "Real-Time Adaptation of a Non-Player Character Companion Using Physiological Signals of the Player" by E J Pretty, R Guarese, J Hamari, H M Fayek and F Zambetta.


Variable Descriptions
EMG: Measured in volts (V), collected from Myoware Muscle Sensor 1.0

EDA: Measured in microsiemens (µS) by the Emotibit
PPG: Raw arbitrary units measured by the Emotibit

Gameplay: Captured by OBS

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