Deriving User Interaction Determinants for a Social License To Automate in Demand Side Management

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

Automated demand side management is a critical component of the energy transition, but to unfold its full potential, end-user acceptance needs to be achieved. A clear understanding of acceptance conditions and their variation across contexts and user segments is needed and system-related interaction aspects are central to this acceptance. To explore such factors, we have developed a number of questions on end-user interaction properties of the system based on critical aspects of trust in automation. These factors will be integrated within a larger framework encompassing regulatory, institutional, socio-technical, energy-practice-related, and interactional factors determining the granting of a "social license to automate" and applied in an international comparison of country profiles.
Original languageEnglish
Title of host publicationProceedings of the Workshop on Automation Experience across Domains co-located with the ACM Conference on Human Factors in Computing Systems (CHI 2020)
Number of pages4
Publication statusPublished - 2020
EventWorkshop "Automation Experience across Domains" in conjunction with CHI2020 -
Duration: 26 Apr 2020 → …

Conference

ConferenceWorkshop "Automation Experience across Domains" in conjunction with CHI2020
Period26/04/20 → …

Research Field

  • Former Research Field - Capturing Experience

Keywords

  • Automation; demand side management (DSM)
  • social license; trust; interaction

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