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Computer Science > Human-Computer Interaction

arXiv:1901.08289 (cs)
[Submitted on 24 Jan 2019]

Title:SAM: A Modular Framework for Self-Adapting Web Menus

Authors:Camille Gobert, Kashyap Todi, Gilles Bailly, Antti Oulasvirta
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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.
Comments: 5 pages; published at ACM IUI 2019 conference
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:1901.08289 [cs.HC]
  (or arXiv:1901.08289v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.1901.08289
Related DOI: https://doi.org/10.1145/3301275.3302314

Submission history

From: Kashyap Todi [view email]
[v1] Thu, 24 Jan 2019 08:57:43 UTC (601 KB)
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