User-Centered Investigation of Features for Attention Management Systems in an Online Vignette Study

Dinara Talypova, Alexander Lingler, Philipp Wintersberger

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

1 Citation (Scopus)

Abstract

Notifications and interruptions have shown to significantly impede task performance while causing stress. Attention management systems aim at mitigating these negative effects, for example, by delaying interruptions to task boundaries or times of low mental load. However, while the theoretical benefits of such an approach are well-documented, it is quite unclear how holding back information from users is accepted, especially in times of the "always-on-mentality". Thus, we conducted an online vignette experiment with N=163 participants, who were presented hypothetical private and work-related scenarios where interruptions are delayed by attention management systems. Participants rated how long they would allow particular interruptions to be delayed, as well as which data collection methods a system could use to perform these decisions. Our results show that interruption management is desired by potential users, provided they feel in control. We conclude with recommendations for the design of attention management systems.

Original languageEnglish
Title of host publicationProceedings of MUM 2023 - The 22nd International Conference on Mobile and Ubiquitous Multimedia
EditorsFlorian Michahelles, Pascal Knierim, Jonna Hakkila
PublisherAssociation for Computing Machinery
Pages102-115
Number of pages14
ISBN (Electronic)9798400709210
DOIs
Publication statusPublished - 3 Dec 2023
Event2nd International Conference on Mobile and Ubiquitous Multimedia, Proceedings of MUM 2023 - Vienna, Austria
Duration: 3 Dec 20236 Dec 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2nd International Conference on Mobile and Ubiquitous Multimedia, Proceedings of MUM 2023
Country/TerritoryAustria
CityVienna
Period03.12.202306.12.2023

Keywords

  • Attention Management
  • Attentive User Interface
  • Human-Computer Interaction
  • Vignette Study

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