@InProceedings{Chang2022_1145,
<br/>   author = {Mincheng Chang and Thilo Michael and Sebastian Möller and David Schlangen},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2022},
<br/>   title = {The power of conversation flow in video conference tools: evaluation of speaker change cues},
<br/>   year = {2022},
<br/>   editor = {Oliver Niebuhr and Malin Svensson Lundmark and Heather Weston},
<br/>   month = mar,
<br/>   pages = {81--88},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {This project aims at exploring whether the predictive turn-taking model
could enhance the quality of conversation flow in video conference tools and the
overall user experience of conversations in digital scenarios. We designed a subjective
experiment in which participants watched modified video materials that simulate
different turn-taking indicator behaviors (predictive model, reactive model,
and baseline model) in various scenarios (different amount of speakers, different
window layout types, different speaker indication methods) with two conversation
contents. The participants are acting as non-contributing over-hearers and score the
performance of the system and their opinion towards the dialogue. Post-experiment
interviews were being conducted to gather detailed opinions and possible explanations
for observed phenomena. The results show that the predictive turn-taking
model has a positive significant difference in video conferences and is preferred by
most of the participants.},
<br/>   isbn = {978-3-95908-548-9},
<br/>   issn = {0940-6832},
<br/>   keywords = {Interaction & Turn-taking},
<br/>   url = {https://www.essv.de/pdf/2022_81_88.pdf},
<br/>}