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Encouraging Trust in Demand-Side Management via Interaction Design: An Automation Level Based Trust Framework

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  • Lisa Diamond

    (Center for Technolgy Experience, AIT Austrian Institute of Technology, 1210 Vienna, Austria)

  • Alexander Mirnig

    (Center for Technolgy Experience, AIT Austrian Institute of Technology, 1210 Vienna, Austria
    Human-Computer Interaction Division, Department of Artificial Intelligence and Human Interfaces, University of Salzburg, 5020 Salzburg, Austria)

  • Peter Fröhlich

    (Center for Technolgy Experience, AIT Austrian Institute of Technology, 1210 Vienna, Austria)

Abstract

The energy transition requires increased end-user flexibility in consumption as a response to the more volatile production patterns of renewable resources. Automated demand-side management solutions can provide support in achieving this but struggle with trust and acceptance issues from end-users. This paper contributes insights into how communicating trustworthiness can be achieved through careful and context-aware interaction design in such systems. Core interface features such as feedback, automation transparency, control options, benefit information, and actionable information were identified and fifteen case studies from six countries were analysed with regard to provided interaction features, automation level, and end-user experiences. The results provide insights into the form and frequency of these features used at different automation levels and their varying role in trust and acceptance building. Based on our results, we recommend particular attention to providing actionable information and actively reaching out to users at a low automation level, to provision and communication of control at a medium automation level, and to providing transparency at a high automation level in order to promote trust successfully, while benefit information is central for a “social license to automate” independently of the automation level.

Suggested Citation

  • Lisa Diamond & Alexander Mirnig & Peter Fröhlich, 2023. "Encouraging Trust in Demand-Side Management via Interaction Design: An Automation Level Based Trust Framework," Energies, MDPI, vol. 16(5), pages 1-31, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2393-:d:1085641
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    References listed on IDEAS

    as
    1. Alexa Spence & Christina Demski & Catherine Butler & Karen Parkhill & Nick Pidgeon, 2015. "Public perceptions of demand-side management and a smarter energy future," Nature Climate Change, Nature, vol. 5(6), pages 550-554, June.
    2. Stelmach, Greg & Zanocco, Chad & Flora, June & Rajagopal, Ram & Boudet, Hilary S., 2020. "Exploring household energy rules and activities during peak demand to better determine potential responsiveness to time-of-use pricing," Energy Policy, Elsevier, vol. 144(C).
    3. Gołębiowska, Bernadeta & Bartczak, Anna & Budziński, Wiktor, 2021. "Impact of social comparison on preferences for Demand Side Management in Poland," Energy Policy, Elsevier, vol. 149(C).
    4. Hilary S. Boudet, 2019. "Public perceptions of and responses to new energy technologies," Nature Energy, Nature, vol. 4(6), pages 446-455, June.
    5. Julien Lancelot Michellod & Declan Kuch & Christian Winzer & Martin K. Patel & Selin Yilmaz, 2022. "Building Social License for Automated Demand-Side Management—Case Study Research in the Swiss Residential Sector," Energies, MDPI, vol. 15(20), pages 1-25, October.
    6. Hargreaves, Tom & Nye, Michael & Burgess, Jacquelin, 2010. "Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors," Energy Policy, Elsevier, vol. 38(10), pages 6111-6119, October.
    7. repec:eme:mrn000:01409170210782990 is not listed on IDEAS
    8. Oliver Michler & Reinhold Decker & Christian Stummer, 2020. "To trust or not to trust smart consumer products: a literature review of trust-building factors," Management Review Quarterly, Springer, vol. 70(3), pages 391-420, August.
    9. Papaefthymiou, G. & Dragoon, Ken, 2016. "Towards 100% renewable energy systems: Uncapping power system flexibility," Energy Policy, Elsevier, vol. 92(C), pages 69-82.
    10. Nicolson, Moira L. & Fell, Michael J. & Huebner, Gesche M., 2018. "Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 276-289.
    11. Immacolata Di Napoli & Pasquale Dolce & Caterina Arcidiacono, 2019. "Community Trust: A Social Indicator Related to Community Engagement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 551-579, September.
    12. Carla Pestana & Luísa Barros & Sabrina Scuri & Mary Barreto, 2021. "Can HCI Help Increase People’s Engagement in Sustainable Development? A Case Study on Energy Literacy," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    13. Darby, Sarah J., 2020. "Demand response and smart technology in theory and practice: Customer experiences and system actors," Energy Policy, Elsevier, vol. 143(C).
    14. Yilmaz, S. & Weber, S. & Patel, M.K., 2019. "Who is sensitive to DSM? Understanding the determinants of the shape of electricity load curves and demand shifting: Socio-demographic characteristics, appliance use and attitudes," Energy Policy, Elsevier, vol. 133(C).
    15. Valor, Carmen & Escudero, Carmen & Labajo, Victoria & Cossent, Rafael, 2019. "Effective design of domestic energy efficiency displays: A proposed architecture based on empirical evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
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