Analyzing impact factors for smartphone sharing decisions using decision tree

Tao Xu*, Yun Zhou, Alexander Raake, Xuyun Zhang

*Corresponding author for this work

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

Abstract

The sharing activities of smart devices have been proved to occur commonly among users and discussed by many studies. In contrast to sharing behaviors of personal computer, smartphone sharing is impromptu. It occurs pervasively like on the street between strangers or at home between family members. The variety of sharing behaviors requires the investigation of the most impact factors for smartphone sharing, which underlies the design of usable privacy user interface. This work investigates and analyzes the influencing factors of smartphone users sharing decisions based on CART algorithm of Decision Tree. The data for analyzing is based on a survey involving 165 participants’ responses. Results indicated the features belonging to the sharing attitudes and behaviors impacted users’ sharing decisions mostly.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationInteraction in Context - 20th International Conference, HCI International 2018, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer-VDI-Verlag GmbH & Co. KG
Pages628-637
Number of pages10
ISBN (Electronic)9783319912448
ISBN (Print)9783319912431
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event20th International Conference on Human-Computer Interaction, HCI 2018 - Las Vegas, United States
Duration: 15 Jul 201820 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10902 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Human-Computer Interaction, HCI 2018
CountryUnited States
CityLas Vegas
Period15/07/1820/07/18

Keywords

  • Decision tree
  • Sharing
  • Smartphone
  • User study

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