G. Schiavo, C. Leonardi, Mattia Pasolli, S. Sarti, M. Zancanaro
{"title":"Weigh it and share it!: crowdsourcing for pro-environmental data collection","authors":"G. Schiavo, C. Leonardi, Mattia Pasolli, S. Sarti, M. Zancanaro","doi":"10.1145/3098279.3098551","DOIUrl":null,"url":null,"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.","PeriodicalId":120153,"journal":{"name":"Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3098279.3098551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
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.