E4UnityIntegration-MIT: An Open-Source Unity Plug-in for Collecting Physiological Data using Empatica E4 during Gameplay
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3586182.3616627.pdf
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508.71 KB
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Author(s)
De Vidal Flores, Eduard
Yildirim, Caglar
Harrell, D. Fox
Date Issued
October 29, 2023
Publisher
ACM|The 36th Annual ACM Symposium on User Interface Software and Technology
Citation
De Vidal Flores, Eduard, Yildirim, Caglar and Harrell, D. Fox. 2023. "E4UnityIntegration-MIT: An Open-Source Unity Plug-in for Collecting Physiological Data using Empatica E4 during Gameplay."
Version
Final published version
Abstract
Physiological measurement of player experience (PX) during gameplay has been of increasing interest within game research circles. A commonly-used non-invasive wearable device for physiological measurement is the Empatica E4 wristband, which offers multiple physiological metrics, ranging from electrodermal activity to heart rate. That said, the E4’s integration with popular game engines such as Unity 3D presents certain challenges due to non-obvious critical bugs in the library and limited documentation applicability within the Unity context. In this paper, we present an open-source Unity plug-in designed to mitigate the challenges associated with integrating the E4 into Unity projects: E4UnityIntegration-MIT. The plug-in exposes the E4’s API for interfacing with Unity C# scripts, thereby enabling realtime data collection and monitoring. E4UnityIntegration-MIT also provides the affordance of saving the E4 data into an external file for data analysis purposes.
Description
The 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23 Adjunct), October 29–November 01, 2023.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1145/3586182.3616627
