Introduction of a Computational Modelling Approach to Auditory Display Research: Case Studies Using the QN-MHP Framework

For more than two decades, a myriad of design and research methods have been proposed in the ICAD community. Neurological methods have been presented since the inception of ICAD, and psychological human-subjects research has become as a legitimate approach to auditory display design and evaluation. However, little research has been conducted on modelling approaches to formalize human behavior in response to auditory displays. To bridge this gap, the present paper introduces computational modelling in auditory displays using the Queuing Network-Model Human Processor (QN-MHP) framework. After delineating the advantages of computational modelling and the QN-MHP framework, the paper introduces four case studies, which modelled drivers’ behavior in response to in-vehicle auditory warnings, followed by the implications and future work. We hope that this paper can spark lively discussions on computational modelling in the ICAD community and thus, more researchers can benefit from using this method for future research.