Using iOS for inconspicuous data collection: A real-world assessment

Yuuki Nishiyama, Denzil Ferreira, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Anind K. Dey, Kaoru Sezaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mobile Crowd Sensing (MCS) is a method for collecting multiple sensor data from distributed mobile devices for understanding social and behavioral phenomena. The method requires collecting the sensor data 24/7, ideally inconspicuously to minimize bias. Although several MCS tools for collecting the sensor data from an off-the-shelf smartphone are proposed and evaluated under controlled conditions as a benchmark, the performance in a practical sensing study condition is scarce, especially on iOS. In this paper, we assess the data collection quality of AWARE iOS, installed on off-the-shelf iOS smartphones with 9 participants for a week. Our analysis shows that more than 97% of sensor data, provided by hardware sensors (i.e., accelerometer, location, and pedometer sensor), is successfully collected in real-world conditions, unless a user explicitly quits our data collection application.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Pages261-266
Number of pages6
ISBN (Electronic)9781450380768
DOIs
Publication statusPublished - 2020 Sep 10
Event2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020 - Virtual, Online, Mexico
Duration: 2020 Sep 122020 Sep 17

Publication series

NameUbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

Conference

Conference2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020
CountryMexico
CityVirtual, Online
Period20/9/1220/9/17

Keywords

  • effective data collection
  • iOS
  • mobile crowd sensing
  • mobile sensing toolkit
  • real-world assessment

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'Using iOS for inconspicuous data collection: A real-world assessment'. Together they form a unique fingerprint.

Cite this