@InProceedings{Siegert2020_463,
<br/>   author = {Ingo Siegert and Matthias Busch and Julia Krüger},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020},
<br/>   title = {Does Users’ System Evaluation Influence Speech Behavior in HCI? – First Insights from the Engineering and Psychological Perspective},
<br/>   year = {2020},
<br/>   editor = {Andreas Wendemuth and Ronald Böck and Ingo Siegert},
<br/>   month = mar,
<br/>   pages = {241--248},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {In interactions with speech based dialog systems users tend to adapt their
speech behavior to their technical counterpart by taking care on the abilities and
characteristics they ascribe to the system. Hence, it can be supposed, that different
systems may evoke different speech behavior according to the users’ evaluation
of the system. In order to support this hypothesis we compared a widely similar
individualization-focused interaction between users and 1) a WOZ-simulated
speech-dialog system (LAST MINUTE Corpus) and 2) a self-developed skill for
Amazon’s Alexa. We examined measurable acoustic characteristics and subjective
system evaluations operationalized by the item-based self-report questionnaire AttrakDiff.
The analysis revealed that users’ speech behavior showed less acoustic
variation in the interaction with Amazon’s Alexa. However, system evaluation did
not differ significantly between the two experiments. In the discussion of this finding
we, inter alia, take into account results from a first unsystematic analysis of
interviews regarding users’ subjective experiences conducted after the interaction
with Amazon’s Alexa.},
<br/>   isbn = {978-3-959081-93-1},
<br/>   issn = {0940-6832},
<br/>   keywords = {Dialogue},
<br/>   url = {https://www.essv.de/pdf/2020_241_248.pdf},
<br/>}