论文信息 - The influence of user tailoring and cognitive load on user performance in spoken dialogue systems

The influence of user tailoring and cognitive load on user performance in spoken dialogue systems

This paper presents results of a Wizard-of-Oz (WoZ) study examining the effect of two different information presentation methods on a secondary task, namely driving. The results demonstrate that the user-model based summarize and refine (UMSR) approach enables more efficient information retrieval in comparison to the data-driven summarize and refine (SR) approach, and does not negatively affect driving performance.

Johanna D. Moore | Jiang Hu | Clifford Nass | Andi Winterboer

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