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.
Weigh it and share it! Crowdsourcing for pro-environmental data collection
SARTI, Silvia;
2017-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.