Designing a mobile behavior sampling tool for spatial analytics

Shinichi Konomi, Tomoyo Sasao

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

Abstract

In this paper, we build on our previous research [1, 4] to explore techniques and tools for collecting detailed behavioral data in large public spaces by deploying a small number of technology-armed researchers who act according to mobile notifications. To go beyond the limitations to conventional urban sensing, we first examine the challenges of human-in-the-loop sensing. We then propose a mobile behavior sampling tool based on smart notifications so as to address the challenge of in-situ sampling.

Original languageEnglish
Title of host publicationDistributed, Ambient and Pervasive Interactions
Subtitle of host publicationTechnologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings
EditorsShin’ichi Konomi, Norbert Streitz
PublisherSpringer Verlag
Pages92-100
Number of pages9
ISBN (Print)9783319911304
DOIs
Publication statusPublished - Jan 1 2018
Event6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018 - Las Vegas, United States
Duration: Jul 15 2018Jul 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10922 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018
CountryUnited States
CityLas Vegas
Period7/15/187/20/18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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