Abstract
Advances in Natural Language Generation technically enable dialog systems to output utterances of an arbitrary length. However, in order to provide the most efficient form of interaction, the complexity of voice output needs to be adapted to individual user needs and contexts. This paper investigates the influence of syntactic complexity on user experience and primary task performance with spoken interaction representing a secondary task, such as in the automotive context. For this purpose, we validate the approach of assessing user preferences concerning voice output. On this basis, we report the results of a user study, where participants interact with a simulated dialog system producing utterances of differing syntactic complexity. We conclude that the choice of a particular syntactic structure affects primary task performance. Equally, our analyses of user preferences suggest an influence on the perception of syntactic forms dependent on individual context and user characteristics.
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Notes
- 1.
Number of words, av. sentence length, prop. of words > 6 characters, LIX index, Idea Density [5].
- 2.
The chosen procedure was not randomized in order to investigate the perception of syntactic forms and how user preferences change depending on the awareness of syntactic structures.
- 3.
No significant difference between Parts 1 and 2 was revealed (Z = \(-1.95\), p = .051, r = .16).
- 4.
Two participants were excluded from analyses due to technical problems in the driving simulator.
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Stier, D., Heid, U., Kittel, P., Schmidt, M., Minker, W. (2021). The Influence of Syntax on the Perception of In-Vehicle Prompts and Driving Performance. In: D'Haro, L.F., Callejas, Z., Nakamura, S. (eds) Conversational Dialogue Systems for the Next Decade. Lecture Notes in Electrical Engineering, vol 704. Springer, Singapore. https://doi.org/10.1007/978-981-15-8395-7_26
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