Cited By
View all- Todi KVanderdonckt JMa XNichols JBanovic N(2020)AI4AUICompanion Proceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3379336.3379359(17-18)Online publication date: 17-Mar-2020
SAM: self-adapting menus on the web
Pages 75 - 76
Abstract
In this demo, we showcase SAM [3], a modular and extensible JavaScript framework for <u>s</u>elf-<u>a</u>dapting <u>m</u>enus on webpages. SAM allows control of two elementary aspects of adaptating 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. We highlight SAM's capabilities through readily implemented policies from literature, paired with adaptation styles such as reordering and highlighting. Audience are given a chance to experience how SAM automatically adapts typical web-page menus based on their browsing behaviour. We also showcase how researchers can use the open-sourced1 framework to further experiment with self-adapting menus, and how practitioners can deploy it to their own websites.
References
[1]
Gilles Bailly, Eric Lecolinet, and Laurence Nigay. 2017. Visual menu techniques. ACM Computing Surveys (CSUR) 49, 4 (2017), 60.
[2]
Stephen Fitchett and Andy Cockburn. 2012. Accessrank: predicting what users will do next. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2239--2242.
[3]
Camille Gobert, Kashyap Todi, Gilles Bailly, and Antti Oulasvirta. 2019. SAM: A Modular Framework for Self-Adapting Web Menus. In 24rd International Conference on Intelligent User Interfaces. ACM.
[4]
Jeffrey Mitchell and Ben Shneiderman. 1989. Dynamic versus static menus: an exploratory comparison. ACM SigCHI Bulletin 20, 4 (1989).
[5]
Andrew Sears and Ben Shneiderman. 1994. Split menus: effectively using selection frequency to organize menus. ACM Transactions on Computer-Human Interaction (TOCHI) 1, 1 (1994), 27--51.
[6]
Kashyap Todi, Jussi Jokinen, Kris Luyten, and Antti Oulasvirta. 2018. Familiarisation: Restructuring Layouts with Visual Learning Models. In 23rd International Conference on Intelligent User Interfaces. ACM.
[7]
Theophanis Tsandilas et al. 2005. An empirical assessment of adaptation techniques. In CHI'05 Extended Abstracts. ACM.
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- SAM: self-adapting menus on the web
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SAM: a modular framework for self-adapting web menus
IUI '19: Proceedings of the 24th International Conference on Intelligent User InterfacesThis paper presents SAM, a modular and extensible JavaScript framework for <u>s</u>elf-<u>a</u>dapting <u>m</u>enus on webpages. SAM allows control of two elementary aspects for adapting web menus: (1) the target policy, which assigns scores to menu ...
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Published In
March 2019
173 pages
ISBN:9781450366731
DOI:10.1145/3308557
Copyright © 2019 ACM.
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Publication History
Published: 16 March 2019
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IUI '19: 24th International Conference on Intelligent User Interfaces
March 16 - 20, 2019
California, Marina del Ray
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Cited By
View all- Todi KVanderdonckt JMa XNichols JBanovic N(2020)AI4AUICompanion Proceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3379336.3379359(17-18)Online publication date: 17-Mar-2020
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