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Minimizing mobile phone disruption via smart profile management

Amnon Dekel · Dan Nacht · Scott Kirkpatrick

27 citations0/0 files storedInternational Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI)

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Personal Information Management and User Behavior Usability and User Interface Design Context-Aware Activity Recognition Systems

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.

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2010A Context Aware Interruption Management System for Mobile Devices 2017Designing architecture of a rule-based system for managing phone call interruptions 2014A Cloud-based Interaction Management System Architecture for Mobile Devices 2016Evidence-Based Behavioral Model for Calendar Schedules of Individual Mobile Phone Users 2019CalBehav: A Machine Learning-Based Personalized Calendar Behavioral Model Using Time-Series Smartphone Data 2018SilentPhone: Inferring User Unavailability based Opportune Moments to Minimize Call Interruptions

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