Conference Proceedings
Cognitive aid: Task assistance based on mental workload estimation
Q Zhou, N Srivastava, J Goncalves, J Newn, T Dingler, E Velloso
Conference on Human Factors in Computing Systems Proceedings | ASSOC COMPUTING MACHINERY | Published : 2019
Abstract
In this work, we evaluate the potential of using wearable non-contact (infrared) thermal sensors through a user study (N=12) to measure mental workload. Our results indicate the possibility of mental workload estimation through the temperature changes detected using the prototype as participants perform two task variants with increasing difficulty levels. While the sensor accuracy and the design of the prototype can be further improved, the prototype showed the potential of building AR-based systems with cognitive aid technology for ubiquitous task assistance from the changes in mental workload demands. As such, we demonstrate our next steps by integrating our prototype into an existing AR h..
View full abstractGrants
Awarded by Australian Research Council Discovery Early Career Award
Awarded by Australian Research Council
Funding Acknowledgements
Eduardo Velloso is the recipient of an Australian Research Council Discovery Early Career Award (Project Number: DE180100315) funded by the Australian Government.