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.
Cite as: Winterboer, A., Hu, J., Moore, J.D., Nass, C. (2007) The influence of user tailoring and cognitive load on user performance in spoken dialogue systems. Proc. Interspeech 2007, 2717-2720, doi: 10.21437/Interspeech.2007-67
@inproceedings{winterboer07_interspeech,
author={Andi Winterboer and Jiang Hu and Johanna D. Moore and Clifford Nass},
title={{The influence of user tailoring and cognitive load on user performance in spoken dialogue systems}},
year=2007,
booktitle={Proc. Interspeech 2007},
pages={2717--2720},
doi={10.21437/Interspeech.2007-67}
}