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Understanding the Role of Places and Activities on Mobile Phone Interaction and Usage Patterns

Authors:

Abhinav Mehrotra,

Sandrine R. Müller,

Gabriella M. Harari,

Samuel D. Gosling,

Cecilia Mascolo,

Mirco Musolesi,

Peter J. RentfrowAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 3

Article No.: 84, Pages 1 - 22

https://doi.org/10.1145/3131901

Published: 11 September 2017 Publication History

Abstract

User interaction patterns with mobile apps and notifications are generally complex due to the many factors involved. However a deep understanding of what influences them can lead to more acceptable applications that are able to deliver information at the right time. In this paper, we present for the first time an in-depth analysis of interaction behavior with notifications in relation to the location and activity of users. We conducted an in-situ study for a period of two weeks to collect more than 36,000 notifications, 17,000 instances of application usage, 77,000 location samples, and 487 days of daily activity entries from 26 students at a UK university.

Our results show that users’ attention towards new notifications and willingness to accept them are strongly linked to the location they are in and in minor part to their current activity. We consider both users’ receptivity and attentiveness, and we show that different response behaviors are associated to different locations. These findings are fundamental from a design perspective since they allow us to understand how certain types of places are linked to specific types of interaction behavior. This information can be used as a basis for the development of novel intelligent mobile applications and services.

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Cited By

Ahmed MHasan TIslam SAhmed N(2024)Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide StudyJMIR Research Protocols10.2196/5154013(e51540)Online publication date: 24-Apr-2024
https://doi.org/10.2196/51540
Jafarlou SAzimi ILai JWang YLabbaf SNguyen BQureshi HMarcotullio CBorelli JDutt NRahmani A(2024)Objective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applicationsPLOS ONE10.1371/journal.pone.029894919:6(e0298949)Online publication date: 20-Jun-2024
https://doi.org/10.1371/journal.pone.0298949
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

Understanding the Role of Places and Activities on Mobile Phone Interaction and Usage Patterns
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
  2. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 3

September 2017

2023 pages

EISSN:2474-9567

DOI:10.1145/3139486

Issue’s Table of Contents

Copyright © 2017 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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Association for Computing Machinery

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Publication History

Published: 11 September 2017

Accepted: 01 July 2017

Revised: 01 May 2017

Received: 01 February 2017

Published in IMWUT Volume 1, Issue 3

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Cited By

Ahmed MHasan TIslam SAhmed N(2024)Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide StudyJMIR Research Protocols10.2196/5154013(e51540)Online publication date: 24-Apr-2024
https://doi.org/10.2196/51540
Jafarlou SAzimi ILai JWang YLabbaf SNguyen BQureshi HMarcotullio CBorelli JDutt NRahmani A(2024)Objective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applicationsPLOS ONE10.1371/journal.pone.029894919:6(e0298949)Online publication date: 20-Jun-2024
https://doi.org/10.1371/journal.pone.0298949
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
Alam AAlshakhsi SAl-Thani DAli R(2023)The role of objectively recorded smartphone usage and personality traits in sleep qualityPeerJ Computer Science10.7717/peerj-cs.12619(e1261)Online publication date: 27-Mar-2023
https://doi.org/10.7717/peerj-cs.1261
Terzimehic NBemmann FHalsner MMayer S(2023)A Mixed-Method Exploration into the Mobile Phone Rabbit HoleProceedings of the ACM on Human-Computer Interaction10.1145/36042417:MHCI(1-29)Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1145/3604241
Prajwal MRaj ASen SSaha SGhosh S(2023)Towards Efficient Emotion Self-report Collection Using Human-AI CollaborationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962697:2(1-23)Online publication date: 12-Jun-2023
https://doi.org/10.1145/3596269
Chang XHsu FLiang EChiou ZChuang HTseng FLin YChang Y(2023)Not Merely Deemed as Distraction: Investigating Smartphone Users’ Motivations for Notification-InteractionProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581146(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581146
Wan LZhang JLiu M(2023)To Leave or Not to Leave? Understanding Task Stickiness in Smartphone Activity RecommendationsHCI International 2023 Posters10.1007/978-3-031-35989-7_89(695-701)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35989-7_89
Ahmed MAhmed N(2023)Less is More: Leveraging Digital Behavioral Markers for Real-Time Identification of Loneliness in Resource-Limited SettingsPervasive Computing Technologies for Healthcare10.1007/978-3-031-34586-9_31(460-476)Online publication date: 11-Jun-2023
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Muise DLu YPan JReeves B(2022)Selectively localized: Temporal and visual structure of smartphone screen activity across media environmentsMobile Media & Communication10.1177/2050157922108033310:3(487-509)Online publication date: 21-Feb-2022
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