research-article

My Phone and Me: Understanding People's Receptivity to Mobile Notifications

Authors:

Abhinav Mehrotra,

Veljko Pejovic,

Robert Hendley,

Mirco MusolesiAuthors Info & Claims

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Pages 1021 - 1032

https://doi.org/10.1145/2858036.2858566

Published: 07 May 2016 Publication History

Abstract

Notifications are extremely beneficial to users, but they often demand their attention at inappropriate moments. In this paper we present an in-situ study of mobile interruptibility focusing on the effect of cognitive and physical factors on the response time and the disruption perceived from a notification. Through a mixed method of automated smartphone logging and experience sampling we collected 10372 in-the-wild notifications and 474 questionnaire responses on notification perception from 20 users. We found that the response time and the perceived disruption from a notification can be influenced by its presentation, alert type, sender-recipient relationship as well as the type, completion level and complexity of the task in which the user is engaged. We found that even a notification that contains important or useful content can cause disruption. Finally, we observe the substantial role of the psychological traits of the individuals on the response time and the disruption perceived from a notification.

References

[1]

Android's Notification Listener Service. http://developer.android.com/reference/android/service/notification/NotificationListenerService.html.

[2]

Android's Speech Recognizer API. http://developer.android.com/reference/android/speech/SpeechRecognizer.html.

[3]

Google's Activity Recognition API. http://developer.android.com/training/location/activity-recognition.html.

[4]

Heads-up Notifications. http://developer.android.com/guide/topics/ui/notifiers/notifications.html#Heads-up.

[5]

Piotr D Adamczyk and Brian P Bailey. 2004. If not now, when?: the effects of interruption at different moments within task execution. In CHI'04. ACM, Vienna, Austria, 271--278.

Digital Library

[6]

Erik M Altmann and J Gregory Trafton. 2002. Memory for goals: An activation-based model. Cognitive science 26, 1 (2002), 39--83.

[7]

Brian P Bailey and Joseph A Konstan. 2006. On the need for attention-aware systems: Measuring effects of interruption on task performance, error rate, and affective state. Computers in Human Behavior 22, 4 (2006), 685--708.

[8]

Brian P Bailey, Joseph A Konstan, and John V Carlis. 2000. Measuring the effects of interruptions on task performance in the user interface. In SMC'00, Vol. 2. IEEE, Nashville,TN, USA, 757--762.

[9]

Jelmer P Borst, Niels A Taatgen, and Hedderik van Rijn. 2010. The problem state: a cognitive bottleneck in multitasking. Journal of Experimental Psychology: Learning, memory, and cognition 36, 2 (2010), 363.

[10]

Herbert H Clark. 1996. Using language. Vol. 1996. Cambridge University Press Cambridge.

[11]

Edward Cutrell, Mary Czerwinski, and Eric Horvitz. 2001. Notification, disruption, and memory: Effects of messaging interruptions on memory and performance. In Interact'01. IOS Press, Tokyo, Japan, 263--270.

[12]

Mary Czerwinski, Edward Cutrell, and Eric Horvitz. 2000a. Instant messaging and interruption: Influence of task type on performance. In OZCHI'00. ACM, Sydney, Australia, 361--367.

[13]

Mary Czerwinski, Edward Cutrell, and Eric Horvitz. 2000b. Instant messaging: Effects of relevance and timing. People and computers XIV: Proceedings of HCI 2 (2000), 71--76.

[14]

Joel E Fischer, Chris Greenhalgh, and Steve Benford. 2011. Investigating episodes of mobile phone activity as indicators of opportune moments to deliver notifications. In MobileHCI'11. ACM, Stockholm, Sweden, 181--190.

Digital Library

[15]

Joel E Fischer, Nick Yee, Victoria Bellotti, Nathan Good, Steve Benford, and Chris Greenhalgh. 2010. Effects of Content and Time of Delivery on Receptivity to Mobile Interruptions. In MobileHCI'10. ACM, Lisbon, Portugal, 103--112.

Digital Library

[16]

Lewis R Goldberg. 1992. The development of markers for the Big-Five factor structure. Psychological Assessment 4, 1 (1992), 26.

[17]

Victor M. Gonzalez and Mark. Gloria. 2004. Constant, Constant, Multi-Tasking Craziness: Managing Multiple Working Spheres. In CHI'04. ACM, Vienna, Austria, 113--120.

Digital Library

[18]

Joyce Ho and Stephen S. Intille. 2005. Using Context-Aware Computing to Reduce the Perceived Burden of Interruptions from Mobile Devices. In CHI'05. ACM, Seoul, Korea, 909--918.

Digital Library

[19]

Eric Horvitz and Johnson Apacible. 2003. Learning and Reasoning about Interruption. In ICMI'03. ACM, Vancouver, Canada, 20--27.

Digital Library

[20]

Shamsi T Iqbal and Eric Horvitz. 2010. Notifications and awareness: a field study of alert usage and preferences. In CSCW'10. ACM, Savannah, Georgia, USA, 27--30.

Digital Library

[21]

Shamsi T Iqbal, Xianjun Sam Zheng, and Brian P Bailey. 2004. Task-evoked pupillary response to mental workload in human-computer interaction. In CHI'04 Extended Abstracts. ACM, Vienna, Austria, 1477--1480.

Digital Library

[22]

Neal Lathia, Kiran K. Rachuri, Cecilia Mascolo, and George Roussos. 2013. Open Source Smartphone Libraries for Computational Social Science. In MCSS'13. ACM, Zurich, Switzerland, 911--920.

Digital Library

[23]

Abhinav Mehrotra, Mirco Musolesi, Robert Hendley, and Veljko Pejovic. 2015. Designing Content-driven Intelligent Notification Mechanisms for Mobile Applications. In UbiComp'15. ACM, Osaka, Japan, 813--824.

Digital Library

[24]

Yoshiro Miyata and Donald A. Norman. 1986. Psychological Issues in Support of Multiple Activities. User Centered System Design: New Perspectives on Human-Computer Interaction (1986), 265--284.

[25]

Christopher A Monk, Deborah A Boehm-Davis, and J Gregory Trafton. 2002. The attentional costs of interrupting task performance at various stages. In HFES'02, Vol. 46. SAGE Publications, Baltimore, MD, 1824--1828.

[26]

Antti Oulasvirta, Tye Rattenbury, Lingyi Ma, and Eeva Raita. 2012. Habits make smartphone use more pervasive. Personal and Ubiquitous Computing 16, 1 (2012), 105--114.

Digital Library

[27]

Veljko Pejovic, Abhinav Mehrotra, and Mirco Musolesi. 2015. Investigating The Role of Task Engagement in Mobile Interruptibility. In MobileHCI'15 Adjunct. ACM, Copenhagen, Denmark.

Digital Library

[28]

Veljko Pejovic and Mirco Musolesi. 2014. InterruptMe: designing intelligent prompting mechanisms for pervasive applications. In UbiComp'14. ACM, Seattle, WA, USA, 897--908.

Digital Library

[29]

Martin Pielot, Karen Church, and Rodrigo de Oliveira. 2014a. An in-situ study of mobile phone notifications. In MobileHCI'14. ACM, Toronto, ON, Canada, 233--242.

Digital Library

[30]

Martin Pielot, Rodrigo de Oliveira, Haewoon Kwak, and Nuria Oliver. 2014b. Didn't you see my message?: predicting attentiveness to mobile instant messages. In CHI'14. ACM, Toronto, ON, Canada, 3319--3328.

Digital Library

[31]

Martin Pielot, Tilman Dingler, Jose San Pedro, and Nuria Oliver. 2015. When attention is not scarce-detecting boredom from mobile phone usage. In UbiComp'15. ACM, Osaka, Japan, 825--836.

Digital Library

[32]

Alireza Sahami Shirazi, Niels Henze, Tilman Dingler, Martin Pielot, Dominik Weber, and Albrecht Schmidt. 2014. Large-scale assessment of mobile notifications. In CHI'14. ACM, Toronto, ON, Canada, 3055--3064.

Digital Library

[33]

Cary Stothart, Ainsley Mitchum, and Courtney Yehnert. 2015. The attentional cost of receiving a cell phone notification. Journal of Experimental Psychology: Human Perception and Performance 41, 4 (2015), 893.

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Stach MMulansky LReichert MPryss RBeierle F(2024)Call to Action: Investigating Interaction Delay in Smartphone NotificationsSensors10.3390/s2408261224:8(2612)Online publication date: 19-Apr-2024
https://doi.org/10.3390/s24082612
Lee LHall RStanley JKrebs J(2024)Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods StudyJMIR mHealth and uHealth10.2196/5207412(e52074-e52074)Online publication date: 15-Apr-2024
https://doi.org/10.2196/52074
Alashwali EMysuru Chandrashekar RLanyon MFaith Cranor L(2024)Detection and Impact of Debit/Credit Card Fraud: Victims' ExperiencesProceedings of the 2024 European Symposium on Usable Security10.1145/3688459.3688464(235-260)Online publication date: 30-Sep-2024
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Index Terms

My Phone and Me: Understanding People's Receptivity to Mobile 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 '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

May 2016

6108 pages

ISBN:9781450333627

DOI:10.1145/2858036

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Jofish Kaye
Yahoo
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Allison Druin
University of Maryland / National Park Service
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Program Chairs:
Cliff Lampe
University of Michigan
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Dan Morris
Microsoft
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Juan Pablo Hourcade
University of Iowa

Copyright © 2016 ACM.

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Published: 07 May 2016

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CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

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CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Stach MMulansky LReichert MPryss RBeierle F(2024)Call to Action: Investigating Interaction Delay in Smartphone NotificationsSensors10.3390/s2408261224:8(2612)Online publication date: 19-Apr-2024
https://doi.org/10.3390/s24082612
Lee LHall RStanley JKrebs J(2024)Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods StudyJMIR mHealth and uHealth10.2196/5207412(e52074-e52074)Online publication date: 15-Apr-2024
https://doi.org/10.2196/52074
Alashwali EMysuru Chandrashekar RLanyon MFaith Cranor L(2024)Detection and Impact of Debit/Credit Card Fraud: Victims' ExperiencesProceedings of the 2024 European Symposium on Usable Security10.1145/3688459.3688464(235-260)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3688459.3688464
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
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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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Mishra VHong SKotz DKostakos VKay JHoang T(2024)Exploring the Relationship Between Intrinsic Motivation and Receptivity to mHealth InterventionsCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678498(437-443)Online publication date: 5-Oct-2024
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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
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