Nitere Xchange, United States
This tutorial introduces participants to augmented cognition and human-centered design in the domain of transformational technologies such as brain computer interfaces and AI enabled wearable devices. We will discuss traditional user-centered design strategies that include prototype research, risk mitigation, and reliability and validation test considerations of such devices in the medical and commercial domains. We will extend these concepts to augmented cognition design strategies that go beyond human behavior to consider the brain and brain processes. The use cases discussed will demonstrate augmented cognition principles and their potential to mitigate negative cognitive outcomes such as overload.
Transformational technologies such as brain computer interfaces (BCI) and artificial intelligence (AI) devices are hitting the market space at a rapid pace. First-of-Its-Kind technology such as these have the potential to overwhelm the user with its complexity and unreliability. Unreliable systems can also pose health risks as unintended use can cause the technology to behave in a hazardous manner. Augmented cognition approaches deal with the potential bottleneck that the human cognition can impose on such technologies. This tutorial introduces the field of augmented cognition historically and from a tool perspective to provide an overview of the field. Next, use cases of augmented cognition approaches regarding human-systems design are discussed. Then, a more specific application of augmented cognition to the design of BCI and AI devices is covered. The benefit of the tutorial is to familiarize the audience with augmented cognition techniques and provide examples of how augmented cognition can improve the safety, reliability, and adoptability of such transformational technologies.
BCI Technology designers, HCI practitioners, wearable device designers, AI developers.
Skinner, A., Russo, C., Baraniecki, L., & Maloof, M. (2014, June). Ubiquitous augmented cognition. In International Conference on Augmented Cognition (pp. 67-77). Springer, Cham.
Skinner, A., Long, L., Vice, J., Blitch, J., Fidopiastis, C. M., & Berka, C. (2013, July). Augmented interaction: Applying the principles of augmented cognition to human-technology and human-human interactions. In International Conference on Augmented Cognition (pp. 764-773). Springer, Berlin, Heidelberg.
Cali M. Fidopiastis obtained her PhD in Modeling and Simulation from the Institute for Simulation and Training at the University of Central Florida. She has 15 years of experience in designing and assessing simulation-based training and rehabilitation tools for civilian, commercial, and military applications. Integral to the work is the design and development of human-centered enabling technologies such as brain computer interfaces and augmented reality based systems for practical innovation in the medical and service domains. Cali’s expertise includes data analytics, system design, user-centered design, technology integration, human factors, computer graphics, virtual and augmented reality, serious gaming, and user perception.