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http://hdl.handle.net/1942/25640
Title: | Familiarisation: Restructuring Layouts with Visual Learning Models | Authors: | TODI, Kashyap Jokinen, Jussi LUYTEN, Kris Oulasvirta, Antti |
Issue Date: | 2018 | Publisher: | ACM | Source: | IUI 2018 Proceedings of the 23rd International Conference on Intelligent User Interfaces, ,p. 547-558 | Abstract: | In domains where users are exposed to large variations in visuo-spatial features among designs, they often spend excess time searching for common elements (features) in familiar locations. This paper contributes computational approaches to restructuring layouts such that features on a new, unvisited interface can be found quicker. We explore four concepts of familiarisation, inspired by the human visual system (HVS), to automatically generate a familiar design for each user. Given a history of previously visited interfaces, we restructure the spatial layout of the new (unseen) interface with the goal of making its elements more easily found. Familiariser is a browser-based implementation that automatically restructures webpage layouts based on the visual history of the user. Our evaluation with users provides first evidence favouring familiarisation. | Keywords: | visual search; graphical layouts; computational design; adaptive user interfaces | Document URI: | http://hdl.handle.net/1942/25640 | ISBN: | 9781450349451 | DOI: | 10.1145/3172944.3172949 | ISI #: | 000458192600059 | Rights: | © 2018 ACM. ISBN 978-1-4503-4945-1/18/03 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2020 |
Appears in Collections: | Research publications |
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p547-todi.pdf Restricted Access | Published version | 19.42 MB | Adobe PDF | View/Open Request a copy |
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