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4X: A Hybrid Approach for Scaffolding Data Collection and Interest in Low-Effort Participatory Sensing

Authors:

Haoqi ZhangAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 3, Issue CSCW

Article No.: 90, Pages 1 - 28

https://doi.org/10.1145/3359192

Published: 07 November 2019 Publication History

Abstract

Participatory sensing systems in which people actively participate in the data collection process must account for both the needs of data contributors and the data collection goals. Existing approaches tend to emphasize one or the other, with opportunistic and directed approaches making opposing tradeoffs between providing convenient opportunities for contributors and collecting high-fidelity data. This paper explores a new, hybrid approach, in which collected data-even if low-fidelity initially-can provide useful information to data contributors and inspire further contributions. We realize this approach with 4X, a multi-stage data collection framework that first collects data opportunistically by requesting contributions at specific locations along users' routes and then uses collected data to direct users to locations of interest to make additional contributions that build data fidelity and coverage. To study the efficacy of 4X, we implemented 4X into LES, an application for collecting information about campus locations and events. Results from two field deployments (N = 95, N = 18) show that the 4X framework created 34% more opportunities for contributing data without increasing disruption, and yielded 49% more data by directing users to locations of interest. Our results demonstrate the value and potential of multi-stage, dynamic data collection processes that draw on multiple sources of motivation for data, and how they can be used to better meet data collection goals as data becomes available while avoiding unnecessary disruption.

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Cited By

Lin FTsai PLee CHo YChen YYen YChang Y(2024)“I Prefer Regular Visitors to Answer My Questions”: Users’ Desired Experiential Background of Contributors for Location-based Crowdsourcing PlatformProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642520(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642520
Sikder ABabun LCelik ZAksu HMcDaniel PKirda EUluagac A(2022)Who’s Controlling My Device? Multi-User Multi-Device-Aware Access Control System for Shared Smart Home EnvironmentACM Transactions on Internet of Things10.1145/35435133:4(1-39)Online publication date: 6-Sep-2022
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Apthorpe NEmami-Naeini PMathur AChetty MFeamster N(2022)You, Me, and IoT: How Internet-connected Consumer Devices Affect Interpersonal RelationshipsACM Transactions on Internet of Things10.1145/35397373:4(1-29)Online publication date: 6-Sep-2022
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Index Terms

4X: A Hybrid Approach for Scaffolding Data Collection and Interest in Low-Effort Participatory Sensing
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 3, Issue CSCW

November 2019

5026 pages

EISSN:2573-0142

DOI:10.1145/3371885

Editors:
Airi Lampinen
Stockholm University, Sweden
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Darren Gergle
Northwestern University, USA
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David A. Shamma
FXPAL, USA

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Published: 07 November 2019

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Lin FTsai PLee CHo YChen YYen YChang Y(2024)“I Prefer Regular Visitors to Answer My Questions”: Users’ Desired Experiential Background of Contributors for Location-based Crowdsourcing PlatformProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642520(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642520
Sikder ABabun LCelik ZAksu HMcDaniel PKirda EUluagac A(2022)Who’s Controlling My Device? Multi-User Multi-Device-Aware Access Control System for Shared Smart Home EnvironmentACM Transactions on Internet of Things10.1145/35435133:4(1-39)Online publication date: 6-Sep-2022
https://dl.acm.org/doi/10.1145/3543513
Apthorpe NEmami-Naeini PMathur AChetty MFeamster N(2022)You, Me, and IoT: How Internet-connected Consumer Devices Affect Interpersonal RelationshipsACM Transactions on Internet of Things10.1145/35397373:4(1-29)Online publication date: 6-Sep-2022
https://dl.acm.org/doi/10.1145/3539737
Chung CLin YWang YChen TChen CJiang XLin FWeng YChang Y(2022)CAMPUS: A University Crowdsourcing Platform for Reporting Facility, Status Update, and Problem Area InformationCompanion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3500868.3559447(59-62)Online publication date: 8-Nov-2022
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Lin FLee CHo YChen YYen GChang Y(2022)What Kinds of Experiences Do You Desire? A Preliminary Study of the Desired Experiences of Contributors to Location-Based Mobile CrowdsourcingExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519744(1-7)Online publication date: 27-Apr-2022
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Chiang CChen YLin FFeng FWu HLee HYang CChang YKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“I Got Some Free Time”: Investigating Task-execution and Task-effort Metrics in Mobile Crowdsourcing TasksProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445477(1-14)Online publication date: 6-May-2021
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R AAnil VRaveendran JVan Wijk GTalukdar S(2021)Living as a Service (LaaS): An Experiment to Evaluate Living Experience in Connected Homes in the NetherlandsExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451684(1-6)Online publication date: 8-May-2021
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