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Exploring large movie collections
- We compare Visual Berrypicking, an interactive approach allowing users to explore large and highly faceted information spaces using similarity-based two-dimensional maps, with traditional browsing techniques. For large datasets, current projection methods used to generate maplike overviews suffer from increased computational costs and a loss of accuracy resulting in inconsistent visualizations. We propose to interactively align inexpensive small maps, showing local neighborhoods only, which ideally creates the impression of panning a large map. For evaluation, we designed a web-based prototype for movie exploration and compared it to the web interface of The Movie Database (TMDb) in an online user study. Results suggest that users are able to effectively explore large movie collections by hopping from one neighborhood to the next. Additionally, due to the projection of movie similarities, interesting links between movies can be found more easily, and thus, compared to browsing serendipitous discoveries are more likely.
Author details: | Thomas Low, Christian Hentschel, Sebastian StoberORCiDGND, Harald SackORCiDGND, Andreas NürnbergerORCiDGND |
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DOI: | https://doi.org/10.1007/978-3-319-51814-5_17 |
ISBN: | 978-3-319-51814-5 |
ISBN: | 978-3-319-51813-8 |
ISSN: | 0302-9743 |
ISSN: | 1611-3349 |
Title of parent work (English): | Lecture notes in computer science |
Subtitle (English): | comparing visual berrypicking and traditional browsing |
Publisher: | Springer |
Place of publishing: | Cham |
Editor(s): | Laurent Amsaleg, Gylfi Þór Guðmundsson, Cathal Gurrin, Björn Þór Jónsson, Shin'ichi Satoh |
Publication type: | Other |
Language: | English |
Date of first publication: | 2016/12/31 |
Publication year: | 2017 |
Release date: | 2022/09/05 |
Tag: | Exploratory interfaces; Media retrieval; Multidimensional scaling; User study |
Volume: | 10133 |
Number of pages: | 11 |
First page: | 198 |
Last Page: | 208 |
Organizational units: | Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Linguistik |
DDC classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |
Peer review: | Referiert |