research-article

In-situ investigation of notifications in multi-device environments

Authors:

Alexandra Voit,

Philipp Kratzer,

Niels HenzeAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 1259 - 1264

https://doi.org/10.1145/2971648.2971732

Published: 12 September 2016 Publication History

Abstract

Smart devices have arrived in our everyday lives. Being able to notify the user about events is a core feature of these devices. Related work investigated interruptions caused by notifications on single devices. In this paper, we investigate notifications in multi-device environments by analyzing the results of a week-long in-situ study with 16 participants. We used the Experience Sampling Method (ESM) and recorded the participants' interaction with smartphones, smartwatches, tablets and PCs. Disregarding the type or content of notifications, we found that the smartphone is the preferred device on which to be notified. Further, we found that the proximity to the device, whether it is currently being used and the user's current location can be used to predict if the user wants to receive notifications on a device. The findings can be used to design future multi-device aware smart notification systems.

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Cited By

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
Ito MTsubouchi KNishio NShimosaka MTaya ASezaki KNishiyama YKostakos VKay JHoang T(2024)Investigating Acceptable Voice-based Notification Timings through Earable Devices: A Preliminary Field StudyCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677579(30-34)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3677579
Catană AVatavu R(2023)Fingerhints: Understanding Users’ Perceptions of and Preferences for On-Finger Kinesthetic NotificationsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581022(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581022
Show More Cited By

Index Terms

In-situ investigation of notifications in multi-device environments
1. Human-centered computing

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Published In

cover image ACM Conferences

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2016

1288 pages

ISBN:9781450344616

DOI:10.1145/2971648

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 September 2016

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Funding Sources

German Ministry of Education and Research (BMBF)
DFG SimTech Cluster of Excellence

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UbiComp '16

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UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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UbiComp '16 Paper Acceptance Rate 101 of 389 submissions, 26%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

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
Ito MTsubouchi KNishio NShimosaka MTaya ASezaki KNishiyama YKostakos VKay JHoang T(2024)Investigating Acceptable Voice-based Notification Timings through Earable Devices: A Preliminary Field StudyCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677579(30-34)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3677579
Catană AVatavu R(2023)Fingerhints: Understanding Users’ Perceptions of and Preferences for On-Finger Kinesthetic NotificationsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581022(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581022
Tseng FChiou ZChuang HSu LLin YLin YLee YWang PChen UChang Y(2023)Multiple Device Users’ Actual and Ideal Cross-Device Usage for Multi-Stage Notification-Interactions: An ESM Study Addressing the Usage Gap and Impacts of Device ContextProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580731(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580731
Li THaines JDe Eguino MHong JNichols J(2023)Alert Now or Never: Understanding and Predicting Notification Preferences of Smartphone UsersACM Transactions on Computer-Human Interaction10.1145/347886829:5(1-33)Online publication date: 6-Jan-2023
https://dl.acm.org/doi/10.1145/3478868
Lee UJung GMa EKim JKim HAlikhanov JNoh YKim H(2023)Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research DirectionsIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12301510:1(42-66)Online publication date: Jan-2023
https://doi.org/10.1109/JAS.2023.123015
Xu ZLi Q(2023)College Students’ Perceptions and Preferences Regarding Intelligent Advisory Systems in Multi-device Learning EnvironmentsHuman Aspects of IT for the Aged Population10.1007/978-3-031-34866-2_12(154-166)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-34866-2_12
Dolawattha DPremadasa HJayaweera P(2022)Modelling the Influencing Factors on Mobile Learning ToolsInternational Journal of Information and Communication Technology Education10.4018/IJICTE.20211001.oa617:4(1-21)Online publication date: 26-May-2022
https://dl.acm.org/doi/10.4018/IJICTE.20211001.oa6
Lee JPark SKim TKim H(2022)Time-Invariant Features-Based Online Learning for Long-Term Notification Management: A Longitudinal StudyApplied Sciences10.3390/app1211543212:11(5432)Online publication date: 27-May-2022
https://doi.org/10.3390/app12115432
Ghosh SLöchner JMitra BDe P(2022)Your Smartphone Knows you Better than you May Think: Emotional Assessment ‘on the Go’ Via TapSenseQuantifying Quality of Life10.1007/978-3-030-94212-0_10(209-267)Online publication date: 14-Apr-2022
https://doi.org/10.1007/978-3-030-94212-0_10
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