Name
Abstract | ||
|---|---|---|
In user studies of recommender systems, participants typically cannot consume the recommended items. Still, they are asked to assess recommendation quality and other aspects related to user experience by means of questionnaires. Without having listened to recommended songs or watched suggested movies, however, this might be an error-prone task, possibly limiting validity of results obtained in these studies. In this paper, we investigate the effect of actually consuming the recommended items. We present two user studies conducted in different domains showing that in some cases, differences in the assessment of recommendations and in questionnaire results occur. Apparently, it is not always possible to adequately measure user experience without allowing users to consume items. On the other hand, depending on domain and provided information, participants sometimes seem to approximate the actual value of recommendations reasonably well.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3240323.3240375 | RecSys '18: Twelfth ACM Conference on Recommender Systems
Vancouver
British Columbia
Canada
October, 2018 |
Keywords | Field | DocType |
Recommender Systems, Experimentation, User Studies | Recommender system,User experience design,Computer science,Human–computer interaction,Artificial intelligence,User studies,Limiting,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-4503-5901-6 | 0 | 0.34 |
References | Authors | |
13 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benedikt Loepp | 1 | 88 | 10.71 |
| Tim Donkers | 2 | 41 | 6.15 |
| Timm Kleemann | 3 | 1 | 3.05 |
| Jürgen Ziegler | 4 | 1028 | 300.31 |