TY - GEN
T1 - Design and evaluation of a predictive model for smartphone selection
AU - Jimenez, Yerika
AU - Morreale, Patricia
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - And Human Computer Interaction Factors
KW - Fitts Law
KW - Human Factors
KW - Keystroke Level Model (KLM)
KW - Mobile Devices
UR - http://www.scopus.com/inward/record.url?scp=84880730729&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39253-5_41
DO - 10.1007/978-3-642-39253-5_41
M3 - Conference contribution
AN - SCOPUS:84880730729
SN - 9783642392528
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 376
EP - 384
BT - Design, User Experience, and Usability
T2 - 2nd 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
Y2 - 21 July 2013 through 26 July 2013
ER -