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Weigh it and share it!: crowdsourcing for pro-environmental data collection

Published: 04 September 2017 Publication History

Abstract

Crowdsourcing for addressing environmental challenges is a promising area in HCI research. This work investigates participation in a crowdsourcing initiative that combined a social-purpose activity with the interest of a company to crowdsource a labour-intensive task. The initiative was based on the deployment of a mobile application for pro-environmental data collection, namely collecting data about weight and type of product packaging. We report the results of a 9-month study conducted within a living lab that involved 96 customers of a large retail store. The analysis of usage logs and patterns of behaviour show different user categories: constant, sprinter and casual users. A survey was conducted to compare those categories as far as demographics, personality traits and usability metrics are concerned. Ten follow-up interviews further investigated motivations behind different usage patterns. The results provide insights on different types of contributors, reporting evidence on what motivated committed and less committed participants.

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  • (2023)FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous ComputingAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3605107(777-783)Online publication date: 8-Oct-2023
  • (2023)The State of Algorithmic Fairness in Mobile Human-Computer InteractionProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3608685(1-7)Online publication date: 26-Sep-2023
  • (2021)Placemaking for Urban SustainabilityExtended Abstracts of the 2021 Annual Symposium on Computer-Human Interaction in Play10.1145/3450337.3483482(186-191)Online publication date: 15-Oct-2021
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    cover image ACM Conferences
    MobileHCI '17: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services
    September 2017
    874 pages
    ISBN:9781450350754
    DOI:10.1145/3098279
    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: 04 September 2017

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    Author Tags

    1. crowdsourcing
    2. living lab
    3. motivation
    4. sustainability

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    MobileHCI '17 Paper Acceptance Rate 45 of 224 submissions, 20%;
    Overall Acceptance Rate 202 of 906 submissions, 22%

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    View all
    • (2023)FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous ComputingAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3605107(777-783)Online publication date: 8-Oct-2023
    • (2023)The State of Algorithmic Fairness in Mobile Human-Computer InteractionProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3608685(1-7)Online publication date: 26-Sep-2023
    • (2021)Placemaking for Urban SustainabilityExtended Abstracts of the 2021 Annual Symposium on Computer-Human Interaction in Play10.1145/3450337.3483482(186-191)Online publication date: 15-Oct-2021
    • (2020)The Five Strands of Living LabACM Transactions on Computer-Human Interaction10.1145/338095827:2(1-26)Online publication date: 11-Mar-2020

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