The effectiveness of advice solicitation and social peers in an energy recommender system

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Abstract

In face-to-face interactions, advice acceptance depends on how it is presented, as well as a number of social factors. For example, some persons are inclined to accept advice from an expert if they possess little domain knowledge. In contrast, if such advice is unsolicited, persons might only accept advice from a trusted source, such as a family member. Whether these mechanisms also play a role in the recommender context is unknown, even though advice solicitation may be particularly important in domains where a recommender user seeks behavioral change (e.g. energy conservation, healthy eating). This study examines the role of advice solicitation (i.e. whether one asks for advice or simply receives it) and advice source (i.e. either explained in social terms or not) in our 'Saving Aid' energy recommender system. Through a web-based user study with 252 participants, we find that allowing users to solicit advice themselves increases their perceived level of trust with our energy recommender system, compared to users that are presented unsolicited advice. In turn, we find that trust positively affects user satisfaction levels, as well as the number of chosen energy-saving measures. We discuss how system designers should consider how advice is presented and in which context.

Original languageEnglish
Title of host publicationIntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019
Subtitle of host publicationProceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019) Copenhagen, Denmark, September 19, 2019
EditorsPeter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
PublisherCEUR-WS.org
Pages65-71
Number of pages7
Publication statusPublished - 1 Jan 2019
Event6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2019 - Copenhagen, Denmark
Duration: 19 Sep 2019 → …

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS.org
Volume2450
ISSN (Print)1613-0073

Conference

Conference6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2019
CountryDenmark
CityCopenhagen
Period19/09/19 → …

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Keywords

  • Advice Solicitation
  • Behavioral Change
  • Energy Conservation
  • Recommender Systems
  • User Experience

Cite this

Starke, A. (2019). The effectiveness of advice solicitation and social peers in an energy recommender system. In P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, J. O'Donovan, G. Semeraro, & M. C. Willemsen (Eds.), IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019) Copenhagen, Denmark, September 19, 2019 (pp. 65-71). (CEUR Workshop Proceedings; Vol. 2450). CEUR-WS.org.