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Title: Affective Brain-Computer Interaction (BCI) Design In Neurogaming

Speaker: Nora Aldahash, MSc |  Software Engineering Department, CCIS, KSU.


NeuroGaming is an emerging concept that incorporates advanced sensory technologies, such as brain computer interaction, virtual reality and eye tracking, to enhance the gaming experience This Master of Science thesis examines brain-computer interaction (BCI) as an input modality for human emotion to create affective new experiences for gamers. Affective BCI in NeuroGaming involves the acquisition of brain activity of gamers, the processing of brain signals, and the recognition of emotional states from the signals to respond to gaming scenarios. The research methodology in this thesis comprises an exploratory study of adaptive game design and development in the context of NeuroGaming. The qualitative and quantitative assessment of the users’ user experience (UX) in NeuroGaming was conducted using self-reported scales and objective measures of emotion states acquired during game play from brain sensors. Insights into the gaming experiences of users were obtained by conducting a comparative analysis between the readings of brain signals and UX scales. Results show that experiment design did elicit our target emotion of frustration. The key contributions of this thesis are twofold: First, the design for User experience in NeuroGaming was proposed to elicit an emotional state through game play. Second, the proposal of software design recommendations for affective gaming BCI systems in the context of UI and interaction design.


Speaker's Bio: Ms. Nora Aldahash is a lecturer in the Software Engineering Department of the College of Computer and Information Sciences at King Saud University. She received her MSc in Software Engineering degree in July 2015. Her MSc thesis was in the domain of Brain-Computer Interaction for Neurogaming contexts, and was co-supervised by Professor Mohammad Hussain and Dr. Areej Al-Wabil.


Date/Time: Tuesday, February 9, 2016 at 12:00pm

Location: Khadija Auditorium, F49 in Building 6  - Broadcast to Room 2090 in CCIS Building 31