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Habitsourcing: Sensing the Environment through Immersive, Habit-Building Experiences

Authors:

Henry Spindell,

Haoqi ZhangAuthors Info & Claims

UIST '16: Proceedings of the 29th Annual Symposium on User Interface Software and Technology

Pages 639 - 650

https://doi.org/10.1145/2984511.2984533

Published: 16 October 2016 Publication History

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 proof-of-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.

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Cited By

Sharma RNair AGuo APalea DLee D(2022)“It’s usually not worth the effort unless you get really lucky”: Barriers to Undergraduate Research Experiences from the Perspective of Computing FacultyProceedings of the 2022 ACM Conference on International Computing Education Research - Volume 110.1145/3501385.3543976(149-163)Online publication date: 3-Aug-2022
https://dl.acm.org/doi/10.1145/3501385.3543976
Garg KKim YGergle DZhang H(2019)4X: A Hybrid Approach for Scaffolding Data Collection and Interest in Low-Effort Participatory SensingProceedings of the ACM on Human-Computer Interaction10.1145/33591923:CSCW(1-28)Online publication date: 7-Nov-2019
https://dl.acm.org/doi/10.1145/3359192
Carvalho JSantos AParedes H(2019)Data Quality Improvement in Crowdsourcing Systems by Enabling A Positive Personal User Experience2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD.2019.8791875(255-260)Online publication date: May-2019
https://doi.org/10.1109/CSCWD.2019.8791875
Show More Cited By

Index Terms

Habitsourcing: Sensing the Environment through Immersive, Habit-Building Experiences
1. Human-centered computing

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cover image ACM Conferences

UIST '16: Proceedings of the 29th Annual Symposium on User Interface Software and Technology

October 2016

908 pages

ISBN:9781450341899

DOI:10.1145/2984511

General Chairs:
Jun Rekimoto
The University of Tokyo
,
Takeo Igarashi
The University of Tokyo
,
Program Chairs:
Jacob O. Wobbrock
University of Washington
,
Daniel Avrahami
FXPAL

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 16 October 2016

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Disney Research
NSERC

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UIST '16

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UIST '16: The 29th Annual ACM Symposium on User Interface Software and Technology

October 16 - 19, 2016

Tokyo, Japan

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UIST '16 Paper Acceptance Rate 79 of 384 submissions, 21%;

Overall Acceptance Rate 561 of 2,567 submissions, 22%

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UIST '25

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The 38th Annual ACM Symposium on User Interface Software and Technology

September 28 - October 1, 2025

Busan , Republic of Korea

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Cited By

Sharma RNair AGuo APalea DLee D(2022)“It’s usually not worth the effort unless you get really lucky”: Barriers to Undergraduate Research Experiences from the Perspective of Computing FacultyProceedings of the 2022 ACM Conference on International Computing Education Research - Volume 110.1145/3501385.3543976(149-163)Online publication date: 3-Aug-2022
https://dl.acm.org/doi/10.1145/3501385.3543976
Garg KKim YGergle DZhang H(2019)4X: A Hybrid Approach for Scaffolding Data Collection and Interest in Low-Effort Participatory SensingProceedings of the ACM on Human-Computer Interaction10.1145/33591923:CSCW(1-28)Online publication date: 7-Nov-2019
https://dl.acm.org/doi/10.1145/3359192
Carvalho JSantos AParedes H(2019)Data Quality Improvement in Crowdsourcing Systems by Enabling A Positive Personal User Experience2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD.2019.8791875(255-260)Online publication date: May-2019
https://doi.org/10.1109/CSCWD.2019.8791875
Park SKwon SLee U(2018)CampusWatchProceedings of the ACM on Human-Computer Interaction10.1145/32744032:CSCW(1-25)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1145/3274403

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