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Please use this identifier to cite or link to this item: 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
Citation: Proceedings of the 2018 ACM Conference on Intelligent User Interfaces, ACM,p. 543-555
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.
URI: http://hdl.handle.net/1942/25640
ISBN: 9781450349451
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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