The communication during human-machine interaction often happens only as a secondary task that distract the user’s main focus on a primary task. In our study, the primary task was driving a vehicle and the secondary task was an interaction with a dialogue system on a tablet device using touch and speech. In this paper we present the design and the analysis of a study that can be used to create an optimal strategy for a dialogue manager that takes into consideration several metrics. These include the type of the information we require from the user, the expected cognitive load on the user, the expected duration of a user’s response and the expected error rate.
CITATION STYLE
Chýlek, A., Šmídl, L., & Nedvěd, J. (2018). Choosing a Dialogue System’s Modality in Order to Minimize User’s Workload. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11096 LNAI, pp. 103–112). Springer Verlag. https://doi.org/10.1007/978-3-319-99579-3_12
Mendeley helps you to discover research relevant for your work.