E-COmate: what’s your non-consumption?

V. Lim, M. Funk, G.W.M. Rauterberg, L. Marcenaro, C.S. Regazzoni

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    2 Citaten (Scopus)
    1 Downloads (Pure)


    Most people lack awareness and hence understanding about how food-related behavior affects the environment. This commonly results in unsustainable food-related decision making, such as food waste. We propose E-COmate, an augmented bin that measures the weight of food waste through a USB postal scale, a bin and a Raspberry Pi with a Wi-Fi module, and give direct feedback to its users through a tablet by visualizing metaphorical units of the weighted food waste. We intend explore the use of E-COmate in redirecting behavior through transparency, visibility and social influence strategies like social comparison. In this paper, we present our concept, implementation, design rationale and plan of research which we expect to provide insights into the potential of eco-feedback integrated in smart home technology for food sustainability.
    Originele taal-2Engels
    TitelAdvances in Computational Intelligence : 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part I
    RedacteurenI. Rojas, G. Joya
    Plaats van productieBerlin
    ISBN van geprinte versie978-3-319-19257-4
    StatusGepubliceerd - 2015

    Publicatie series

    NaamLecture Notes in Computer Science
    ISSN van geprinte versie0302-9743


    Duik in de onderzoeksthema's van 'E-COmate: what’s your non-consumption?'. Samen vormen ze een unieke vingerafdruk.

    Citeer dit