@inproceedings{Kassel2019b,
	abstract = {Conversational interfaces (CIs) have the potential to empower a broader spectrum of users to independently conduct visual analysis. Yet, recent approaches do not fully consider the user's characteristics. In particular, the objective of matching the user's language has been understudied in visual analysis. In order to close this gap, we introduce an answer space motivated by Grice's cooperative principle for framing personalized communication in complex data situations. We conducted both an online survey (N=76) to analyze communication preferences and a qualitative experiment (N=10) to investigate personalized conversations with an existing CI. In order to match the user's language properly, our results suggest to consider additional user characteristics along with their knowledge level. While mismatching communication preferences triggers negative reactions, a preference-aligned communication evokes positive reactions. As our analysis confirms the importance of matching the user's language in visual analysis, we provide design implications for future CIs.},
	title = {Talk to Me Intelligibly: Investigating An Answer Space to Match the User's Language in Visual Analysis},
	author = {Kassel, Jan-Frederik and Rohs, Michael},
	booktitle = {Proceedings of the 2019 on Designing Interactive Systems Conference},
	location = {San Diego, CA, USA},
	doi = {10.1145/3322276.3322282},
	isbn = {978-1-4503-5850-7},
	year = {2019},
	papertype = {fullpaper}
}