research-article

“Put it on the Top, I’ll Read it Later”: Investigating Users’ Desired Display Order for Smartphone Notifications

Authors:

Emily Helen Yang,

Yung-Ju ChangAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 520, Pages 1 - 13

https://doi.org/10.1145/3411764.3445384

Published: 07 May 2021 Publication History

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

“Put it on the Top, I’ll Read it Later”: Investigating Users’ Desired Display Order for Smartphone Notifications

Pages 1 - 13

Abstract
References

Abstract

Smartphone users do not deal with notifications strictly in the order they are displayed, but sometimes read them from the middle, suggesting a mismatch between current systems’ display order and users’ needs. We therefore used mixed methods to investigate 34 smartphone users’ desired notification display order and related it with users’ self-reported order of attendance. Classifying using these two orders as dimensions, we obtained seven types of notifications, which helped us not only highlight the distinct attributes but understand the implied roles of these seven types of notifications, as well as the implied meaning of display orders. This is especially manifested in our identification of three main mismatches between the two orders. Qualitative findings reveal several meanings that participants attached to particular positions when arranging notifications. We offer design implications for notification systems, including calling for two-dimensional notification layout to support the multi-purpose roles of smartphone notifications we identified.

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Cited By

Slade CBenzo RWashington P(2024)Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods StudyJournal of Medical Internet Research10.2196/5569426(e55694)Online publication date: 18-Nov-2024
https://doi.org/10.2196/55694
Lin YSu LChen ULee YWang PChang Y(2024)Pinning, Sorting, and Categorizing Notifications: A Mixed-methods Usage and Experience Study of Mobile Notification-management FeaturesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785798:3(1-27)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678579
Lee YWu MChang CChang XChang Y(2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
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Index Terms

“Put it on the Top, I’ll Read it Later”: Investigating Users’ Desired Display Order for Smartphone Notifications
1. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

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Tohoku University, Japan
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University of California Santa Cruz, USA
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The University of Tokyo, Japan
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Microsoft Research, USA

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https://doi.org/10.2196/55694
Lin YSu LChen ULee YWang PChang Y(2024)Pinning, Sorting, and Categorizing Notifications: A Mixed-methods Usage and Experience Study of Mobile Notification-management FeaturesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785798:3(1-27)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678579
Lee YWu MChang CChang XChang Y(2024)Investigating User-perceived Impacts of Contextual Factors on Opportune MomentsProceedings of the ACM on Human-Computer Interaction10.1145/36765148:MHCI(1-28)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676514
Chang TSu LLin YTsai JTang ZChang Y(2024)"I Want Lower Tone for Work-Related Notifications": Exploring the Effectiveness of User-Assigned Notification Alerts in Improving User Speculation of and Attendance to Mobile NotificationsProceedings of the ACM on Human-Computer Interaction10.1145/36765128:MHCI(1-25)Online publication date: 24-Sep-2024
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