NotiModes: An investigation of notification delay modes and their effects on smartphone users

Romina Poguntke, Christina Schneegass, Lucas Van Der Vekens, Rufat Rzayev, Jonas Auda, Stefan Schneegass, Albrecht Schmidt

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

Despite the extensive analysis of the consequences of interruptions caused by smartphone notifications, research on the effects on users has so far been sparse. Therefore, in this work we (1) explore concepts on preventing interruptions elicited by notification delay in a focus group; (2) implement a smartphone application manipulating the notification delay in three distinct ways varying in the degree of user-control; (3) evaluate all three concepts with 13 users in a four-week field trial. We thereby gather qualitative feedback in 52 semi-structured interviews, one per participant after each mode and an additional control week. The results show that through the intensive preoccupation with their notification management, users reflect critically about advantages and disadvantages of their continuous reachability. Based on the results from the focus group and field trial, we derive four design implications summarizing the users' experiences and suggestions on notification delay mechanisms.

Original languageEnglish
Title of host publicationTagungsband - Mensch und Computer 2020, MuC 2020
EditorsFlorian Alt, Stefan Schneegass, Eva Hornecker
PublisherACM
Pages415-419
Number of pages5
ISBN (Electronic)9781450375405
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event2020 Conference on Mensch und Computer, MuC 2020 - Magdeburg, Virtual, Germany
Duration: 6 Sept 20209 Sept 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2020 Conference on Mensch und Computer, MuC 2020
Country/TerritoryGermany
CityMagdeburg, Virtual
Period6/09/209/09/20

Keywords

  • interruptions
  • notifications
  • qualitative and quantitative study
  • user experience

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