In June 2019, Texas State was represented by Computer Science instructors at the International Conference on Data Intelligence and Security. Lee Hinkle and Vangelis Metsis presented a paper entitled "Physiological Measurement for Emotion Recognition in Virtual Reality." The goal of the work is to answer the question: Can we accurately detect human emotion through physiological measurements?
Motivation: With Virtual & Augmented Reality (VR/AR) becoming more prevalent the real-time monitoring of emotional/affective state could benefit multiple applications including:
- Training/Education: detect excitement/frustration about delivered content – adapt difficulty.
- Intervention therapy: monitor response to stimuli during VR exposure therapy – adapt therapy.
- Entertainment/Gaming: monitor engagement/excitement – adapt content, recommend new content.
Objectives of the work and presentation included:
- Evaluate the extent to which emotional responses caused by interaction with VR environments can be measured through physiological biosignals.
- Establish a methodology and discuss the challenges of biosignal data acquisition using current hardware capabilities.
- To design a general-purpose machine learning approach for emotional response classification of the sensor data
Continuing the success of the first conference in 2018, the 2nd Annual ICDIS 2019 was oriented to: (1) provide a unique forum where data management, data intelligence, and data security are all involved; (2) provide a forum for researchers, experts, professionals and stakeholders in related fields to disseminate their recent advances and share their views on future perspectives.
Deadline: Jan. 31, 2020, midnight