Neuro Information Systems (NeuroIS) is an emerging research field in which theories and methods from Cognitive Neuroscience are used in Information Systems research. MDTRC labs are equipped with state-of-the-art research infrastructure that enables the collection of rich and diverse streams of neurophysiological data in addition to traditional behavioural data (e.g., self-reported questionnaires, interviews, focus groups). Combining traditional and NeuroIS methods alleviates some of the shortcomings of relying solely on self-reported data that can be subject to inherent biases.
A/V Monitoring and Recording
Video cameras and audio systems allow researchers to monitor, control, and direct the research sessions from observation rooms. Video and audio recordings can be utilized for later in depth analysis.
Live Facial Expression Analysis
Video feeds can be used for live facial expression analysis and emotion assessment. Inferring participants’ emotions and how they evolve during an experimental session can provide valuable insights into different studied phenomena.
EEG measures brain electrical activity at various locations on the scalp, generated by coherent firing of large assemblies of neurons within brain structures. EEG signals correlate with a range of discrete perceptual, attentional, cognitive, and affective processes which can be leveraged to gain a more holistic understanding of studied phenomena.
Eye tracking enables the non-intrusive collection of real-time gaze data, including measures of fixation durations, saccades, pupil dilation, and more complex patterns of visual scanning and processing over time. This information can provide deep insights into the attentional processes of users and their perceptions of observed stimuli.
Several physiological data streams (i.e., Respiration Rate, Heart Rate, Galvanic Skin Responses, and Facial Electromyography) can be collected to enrich findings and provide additional insights on participants’ physiological states.
Mixed reality and wearable technology is revolutionizing the way we interact with our environment and collaborate with each other. At MDTRC, we strive to understand how to successfully utilize this emerging technology, its applications, and how it impacts different types of users in different contexts.