User Preferences for Interaction Modalities: The Influence of Task, Context, and User Characteristics when Interacting with Conversational Agents

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dc.contributor.author Riefle, Lara
dc.contributor.author Benz, Carina
dc.date.accessioned 2023-12-26T18:42:36Z
dc.date.available 2023-12-26T18:42:36Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 40b02f80-af16-4e86-b7e0-49fc21228c1b
dc.identifier.uri https://hdl.handle.net/10125/106864
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Artificial Intelligence-based Assistants and Platforms
dc.subject conversational agents
dc.subject human-computer-interaction
dc.subject interaction modality
dc.subject user preferences
dc.subject user study
dc.title User Preferences for Interaction Modalities: The Influence of Task, Context, and User Characteristics when Interacting with Conversational Agents
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract When using conversational agents (CAs), the interaction is typically either text- or speech-based. Existing research focuses on the effects of these interaction modalities or the general adoption of either text- or speech-based interaction, leaving an important research gap regarding users’ underlying preferences for interaction modalities. Therefore, this study investigates the influence of task, context, and individual user characteristics on user preferences for interaction modalities. We use a two-step approach consisting of exploratory interviews to identify 14 influencing factors, followed by a scenario-based experiment to quantitatively assess the impact of the identified task, context, and user characteristics. The results provide insights into the drivers for users’ preferences for interaction modalities when interacting with CAs. Thereby, we contribute to a more holistic understanding of human-CA interaction and provide a starting point for future research. The findings can further guide practitioners regarding which factors to consider in their decisions when investing in CAs.
dcterms.extent 10 pages
prism.startingpage 3960
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