Habitsourcing: Sensing the environment through immersive, habit-building experiences

Katherine Lin, Henry Spindell, Scott Cambo, Yongsung Kim, Haoqi Zhang

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

4 Scopus citations

Abstract

Citizen science and communitysensing applications allow everyday citizens to collect data about the physical world to benefit science and society. Yet despite successes, current approaches are still limited by the number of domain-interested volunteers who are willing and able to contribute useful data. In this paper we introduce habitsourcing, an alternative approach that harnesses the habit-building practices of millions of people to collect environmental data. To support the design and development of habitsourcing apps, we present (1) interaction techniques and design principles for sensing through actuation, a method for acquiring sensing data from cued interactions; and (2) ExperienceKit, an iOS library that makes it easy for developers to build and test habitsourcing applications. In two experiments, we show that our two proofof-concept apps, ZenWalk and Zombies Interactive, compare favorably to their non-data collecting counterparts, and that we can effectively extract environmental data using simple detection techniques.

Original languageEnglish (US)
Title of host publicationUIST 2016 - Proceedings of the 29th Annual Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
Pages639-650
Number of pages12
ISBN (Electronic)9781450345316
DOIs
StatePublished - Oct 16 2016
Event29th Annual Symposium on User Interface Software and Technology, UIST 2016 - Tokyo, Japan
Duration: Oct 16 2016Oct 19 2016

Other

Other29th Annual Symposium on User Interface Software and Technology, UIST 2016
Country/TerritoryJapan
CityTokyo
Period10/16/1610/19/16

Keywords

  • Citizen science
  • Communitysensing
  • Habitsourcing
  • Physical crowdsourcing

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

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