Affective Computing in Games

Analytical Framework for Facial Expression on Game Experience Test

“…Jai, Nor Aina Mohd et al introduced an experiment to analyze comparatively the user's heart rate (HR) and rating of perceived exertion (RPE) when playing the game using the PlayStation move controller both while sitting and standing [16]. Besides these, various techniques for measuring biosignals have been proposed in the field of game development [17]. Collecting bodily data in this way has the advantage of acquiring objective emotional state data in testers measured by a machine.…”

Emotional Design

“…Recently, deep learning models were also used to recognize emotions, such as bi-level convolutional neural networks for fine-grained emotion recognition using Russell's dimensional emotion model (Zhou, Kong, et al, 2020). By recognizing and monitoring users' emotions, the system can respond to the users to improve learning in education (Wu, Huang, & Hwang, 2016), communications for autistic children (Messinger et al, 2015), and video gaming (Guthier, Dörner, & Martinez, 2016), to name but a few.…”

Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis

“…When using Affective Computing in games, a first important task is to assess if a certain sensing technology can be used for a certain game and to select the most suitable sensors. Since there is no such thing as an optimal sensing technology, these decisions need to be made for each individual game [15].…”

“…Using machine learning, these emotional states and workload changes can be identified automatically [16]. The Blood Volume Pulse (BVP) is linked to the heart rate and can be used for emotion or mental stress recognition [15]. The electrodermal activity, according to [14,33], could indicate awareness, the level of trust, stress or cognitive load.…”