SAM: A Modular Framework for Self-Adapting Web Menus
No Thumbnail Available
Access rights
openAccess
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2019
Major/Subject
Mcode
Degree programme
Language
en
Pages
5
Series
24rd International Conference on Intelligent User Interfaces, pp. 481-485, IUI '19
Abstract
This paper presents SAM, a modular and extensible JavaScript framework for self-adapting menus on webpages. SAM allows control of two elementary aspects for adapting web menus: (1) the target policy, which assigns scores to menu items for adaptation, and (2) the adaptation style, which specifies how they are adapted on display. By decoupling them, SAM enables the exploration of different combinations independently. Several policies from literature are readily implemented, and paired with adaptation styles such as reordering and highlighting. The process—including user data logging—is local, offering privacy benefits and eliminating the need for server-side modifications. Researchers can use SAM to experiment adaptation policies and styles, and benchmark techniques in an ecological setting with real webpages. Practitioners can make websites self-adapting, and end-users can dynamically personalise typically static web menus.Description
| openaire: EC/H2020/637991/EU//COMPUTED
Keywords
adaptive interfaces, web framework, self-adapting menus
Other note
Citation
Gobert, C, Todi, K, Bailly, G & Oulasvirta, A 2019, SAM: A Modular Framework for Self-Adapting Web Menus . in 24rd International Conference on Intelligent User Interfaces . IUI '19, ACM, pp. 481-485, International Conference on Intelligent User Interfaces, Los Angeles, California, United States, 16/03/2019 . https://doi.org/10.1145/3301275.3302314