Papers by Maria Schmidt

2 papers
Towards an Automatic Assessment of Crowdsourced Data for NLU (L18-1)

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Challenge: Recent development of spoken dialog systems aims at allowing a natural input style.
Approach: They investigate how crowdsourced data can be assessed with respect to its naturalness and usefulness by using a word based language model to identify valid data.
Outcome: The proposed methods show that valid data can be identified with the help of a word based language model.
How Users React to Proactive Voice Assistant Behavior While Driving (2020.lrec-1)

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Challenge: Nowadays Personal Assistants (PAs) are available in multiple environments and become increasingly popular to use via voice.
Approach: They conducted a usability study in which 42 participants perceive proactive voice output in a Wizard-of-Oz study in . traffic density was varied during a highway drive and it included six in-car-specific use cases.
Outcome: The proposed suggestions should not be obtrusive nor increase drivers’ cognitive load, while enhancing user experience.

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