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 language | English |
|---|---|
| Title of host publication | IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019 |
| Subtitle of host publication | 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 |
| Editors | Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen |
| Publisher | CEUR-WS.org |
| Pages | 65-71 |
| Number of pages | 7 |
| Publication status | Published - 1 Jan 2019 |
| Event | 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2019 - Copenhagen, Denmark Duration: 19 Sep 2019 → … |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR-WS.org |
| Volume | 2450 |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2019 |
|---|---|
| Country | Denmark |
| City | Copenhagen |
| Period | 19/09/19 → … |
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Keywords
- Advice Solicitation
- Behavioral Change
- Energy Conservation
- Recommender Systems
- User Experience
Cite this
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The effectiveness of advice solicitation and social peers in an energy recommender system. / Starke, Alain.
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. ed. / Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; John O'Donovan; Giovanni Semeraro; Martijn C. Willemsen. CEUR-WS.org, 2019. p. 65-71 (CEUR Workshop Proceedings; Vol. 2450).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - The effectiveness of advice solicitation and social peers in an energy recommender system
AU - Starke, Alain
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
KW - Advice Solicitation
KW - Behavioral Change
KW - Energy Conservation
KW - Recommender Systems
KW - User Experience
UR - http://www.scopus.com/inward/record.url?scp=85072878302&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85072878302
T3 - CEUR Workshop Proceedings
SP - 65
EP - 71
BT - IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019
A2 - Brusilovsky, Peter
A2 - de Gemmis, Marco
A2 - Felfernig, Alexander
A2 - Lops, Pasquale
A2 - O'Donovan, John
A2 - Semeraro, Giovanni
A2 - Willemsen, Martijn C.
PB - CEUR-WS.org
ER -