Design and evaluation of a predictive model for smartphone selection

Yerika Jimenez, Patricia Morreale

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Selecting a mobile phone is a very subjective process; consumers often base their decisions on advertising and their personal expectations for the device. In order to provide consumers with simpler and more objective information, a predictive model for smartphone selection has been developed. Four of the most popular mobile devices were used for the development of this model: Apple's iPhone, Google's Android, Microsoft's Windows and Research In Motion's BlackBerry. Everyday tasks, common to smartphone users, were identified and modeled, using the Keystroke Level Model. Fitts' Law was used to provide additional objective data based on the dimensions and layout of the mobile phone screen. These objective measures were integrated with user preferences, to identify which smartphone would provide superior operation and performance for the features most desired by the smartphone consumer. Research outcomes from this project include the identification of the mobile devices that performed common tasks with efficiency and a user-task model predicting user smartphone selection based on individual utility and task frequency.

Original languageEnglish
Title of host publicationDesign, User Experience, and Usability
Subtitle of host publicationWeb, Mobile, and Product Design - Second International Conference, DUXU 2013, Held as Part of HCI International 2013, Proceedings
Pages376-384
Number of pages9
EditionPART 4
DOIs
StatePublished - 2013
Event2nd International Conference on Design, User Experience, and Usability: Web, Mobile, and Product Design, DUXU 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: 21 Jul 201326 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume8015 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Design, User Experience, and Usability: Web, Mobile, and Product Design, DUXU 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013
Country/TerritoryUnited States
CityLas Vegas, NV
Period21/07/1326/07/13

Keywords

  • And Human Computer Interaction Factors
  • Fitts Law
  • Human Factors
  • Keystroke Level Model (KLM)
  • Mobile Devices

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