Bibliographie complète
Optimizing the Number of Search Result Categories
Type de ressource
Auteur/contributeur
- Käki, Mika (Auteur)
Titre
Optimizing the Number of Search Result Categories
Résumé
Automatically generated web search result categories were found to be beneficial in our previous study. In that study, we used 15 result categories and left the optimal number of categories issue deliberately untouched. To address this matter, we conducted a new experiment with 27 participants to compare search user interfaces with 10, 20, and 40 automatically generated categories. The results show that users prefer fewer categories. The use of fewer categories results in a slightly more accurate performance in result selection. In addition, the observed speed differences between the conditions were small. Although reading longer category lists requires more time, the users benefited from the increased descriptiveness, causing the overall speed to be almost equal. According to our results, the optimal number of categories is between 10 and 20.
Date
2005
Titre des actes
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Lieu
New York, NY, USA
Maison d’édition
ACM
Pages
1517-1520
Collection
CHI EA '05
ISBN
978-1-59593-002-6
Titre abrégé
Optimizing the Number of Search Result Categories
Consulté le
2016-07-27 14 h 56
Catalogue de bibl.
ACM Digital Library
Référence
Käki, M. (2005). Optimizing the Number of Search Result Categories. New York, NY, USA (p. 1517‑1520). https://doi.org/10.1145/1056808.1056955
Méthodologie
Lien vers cette notice