Channel Switching and Adaptive Behaviors in Multichannel Communication

People often use multiple communication apps concurrently for messaging, yet how they use these channels together and the motivations for switching between them remain underexplored. To investigate this, we conducted a two-week diary study followed by interviews (N=17), examining channel-switching practices and the management of social boundaries. Our findings reveal that users switch between multiple communication channels with the same contacts, driven by factors such as different topics, expectations for fast or slow communication rhythm, specific features suited to the situation, and app-specific vibes that match their mood at the moment. Additionally, we identify inertia, where users tend to stay on the app where the last interaction occurred, as the opposite of active channel switching. Our findings show that users do not actively distinguish apps based on relationships. Instead, their contacts are dispersed across different communication apps due to adaptive behaviors. These behaviors include users continually adapting to unique relationships, evolving communication needs, and app changes over time. Based on these insights, we propose design implications for multichannel communication to help users manage cross-app communication flows effectively.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757401
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
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article

Channel Switching and Adaptive Behaviors in Multichannel Communication

Rongjun Ma, Janne Lindqvist, Feng Feng
Proceedings of the ACM on Human-Computer Interaction
Opinion Dynamics and Social Influence
article

Channel Switching and Adaptive Behaviors in Multichannel Communication

Rongjun Ma, Janne Lindqvist, Feng Feng
article en

Abstract

People often use multiple communication apps concurrently for messaging, yet how they use these channels together and the motivations for switching between them remain underexplored. To investigate this, we conducted a two-week diary study followed by interviews (N=17), examining channel-switching practices and the management of social boundaries. Our findings reveal that users switch between multiple communication channels with the same contacts, driven by factors such as different topics, expectations for fast or slow communication rhythm, specific features suited to the situation, and app-specific vibes that match their mood at the moment. Additionally, we identify inertia, where users tend to stay on the app where the last interaction occurred, as the opposite of active channel switching. Our findings show that users do not actively distinguish apps based on relationships. Instead, their contacts are dispersed across different communication apps due to adaptive behaviors. These behaviors include users continually adapting to unique relationships, evolving communication needs, and app changes over time. Based on these insights, we propose design implications for multichannel communication to help users manage cross-app communication flows effectively.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
IT University of Copenhagen (DK), Aalto University (FI)
Openalex Percentile: Top 77%
Opinion Dynamics and Social Influence
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Channel Switching and Adaptive Behaviors in Multichannel Communication — Rongjun Ma, Janne Lindqvist, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS