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Minimizing mobile phone disruption via smart profile management

Published: 15 September 2009 Publication History

Abstract

In this paper, we describe the Smart Profile Management application that was designed to help minimize mobile phone disruptions. The system achieves the goal using a machine learning based algorithm that switches the phone profile automatically. A prototype was developed in Python for S60 and an informal usability test was run for a period of 7 days. Results show that a large proportion of profile suggestion changes were accepted by subjects, suggesting that such an application can in fact lower disruptions.

References

[1]
Cyke64. (2007). Retrieved from http://cyke64.googlepages.com/
[2]
Davidyuk, O., Riekki, J.,&Ville-Mikko, R. Context-Aware Middleware for Mobile Multimedia Applications. MUM 2004. College Park, Maryland, USA.
[3]
Google-Calendar. Retrieved from http://www.google.com/calendar/
[4]
Goosync. Retrieved from http://www.goosync.com/
[5]
Handy Profiles for S60. Retrieved 2 2008, from http://nokiae70-software.epocware.com/Handy_Profiles.html
[6]
Mynatt, E.,&Tullio, J. (2001). Inferring Calendar Event Attendance. IUI'01. Santa Fe, New Mexico, USA
[7]
Nokia. (2007). Python for S60. Retrieved from http://opensource.nokia.com/projects/pythonfors60/
[8]
Photo Contacts Pro 5. Retrieved 2 2008, from http://microsoft.handango.com/PlatformProductDetail.jsp?siteId=75&jid=432431334B12EEB287FE33DD1D7FD3FB&platformId=2&productType=2&catalog=0&sectionId=0&productId=166074

Cited By

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  • (2023)AutoProfile: An Intelligent Profile Switching System for SmartphonesIEEE Transactions on Mobile Computing10.1109/TMC.2022.314120522:6(3151-3164)Online publication date: 1-Jun-2023
  • (2022)Can Previews Mitigate the Effect of Interruptions? Findings from a Lab Experiment under Various WorkloadsInternational Journal of Human–Computer Interaction10.1080/10447318.2022.213791540:4(956-964)Online publication date: 31-Oct-2022
  • (2021)Discovering User Behavioral Rules Based on Multi-Dimensional ContextsContext-Aware Machine Learning and Mobile Data Analytics10.1007/978-3-030-88530-4_6(93-111)Online publication date: 20-Sep-2021
  • Show More Cited By

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    Published In

    cover image ACM Other conferences
    MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
    September 2009
    473 pages
    ISBN:9781605582818
    DOI:10.1145/1613858

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 15 September 2009

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    Author Tags

    1. context based computing
    2. minimizing disruptions
    3. mobile phones
    4. profile management
    5. smart interfaces

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    MobileHCI '09 Paper Acceptance Rate 23 of 95 submissions, 24%;
    Overall Acceptance Rate 202 of 906 submissions, 22%

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    Cited By

    View all
    • (2023)AutoProfile: An Intelligent Profile Switching System for SmartphonesIEEE Transactions on Mobile Computing10.1109/TMC.2022.314120522:6(3151-3164)Online publication date: 1-Jun-2023
    • (2022)Can Previews Mitigate the Effect of Interruptions? Findings from a Lab Experiment under Various WorkloadsInternational Journal of Human–Computer Interaction10.1080/10447318.2022.213791540:4(956-964)Online publication date: 31-Oct-2022
    • (2021)Discovering User Behavioral Rules Based on Multi-Dimensional ContextsContext-Aware Machine Learning and Mobile Data Analytics10.1007/978-3-030-88530-4_6(93-111)Online publication date: 20-Sep-2021
    • (2021)A Literature Review on Context-Aware Machine Learning and Mobile Data AnalyticsContext-Aware Machine Learning and Mobile Data Analytics10.1007/978-3-030-88530-4_3(23-56)Online publication date: 20-Sep-2021
    • (2020)Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research DirectionsMobile Networks and Applications10.1007/s11036-020-01650-z26:1(285-303)Online publication date: 14-Sep-2020
    • (2019)Context-aware rule learning from smartphone data: survey, challenges and future directionsJournal of Big Data10.1186/s40537-019-0258-46:1Online publication date: 31-Oct-2019
    • (2019)Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usageJournal of Big Data10.1186/s40537-019-0219-y6:1Online publication date: 1-Jul-2019
    • (2019)E-MIIM: an ensemble-learning-based context-aware mobile telephony model for intelligent interruption managementAI & SOCIETY10.1007/s00146-019-00898-8Online publication date: 26-Jun-2019
    • (2019)Mobile Intelligent Interruption Management: A New Context-Aware Fuzzy Mining ApproachProceedings of the International Conference on Advanced Intelligent Systems and Informatics 201910.1007/978-3-030-31129-2_72(791-800)Online publication date: 2-Oct-2019
    • (2018)Research issues in mining user behavioral rules for context-aware intelligent mobile applicationsIran Journal of Computer Science10.1007/s42044-018-0026-12:1(41-51)Online publication date: 3-Nov-2018
    • Show More Cited By

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