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SAM: a modular framework for self-adapting web menus

Authors:

Camille Gobert,

Antti OulasvirtaAuthors Info & Claims

IUI '19: Proceedings of the 24th International Conference on Intelligent User Interfaces

Pages 481 - 484

https://doi.org/10.1145/3301275.3302314

Published: 17 March 2019 Publication History

Abstract

This 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 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.

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Cited By

Wu JTodi KChan JMyers BLafreniere B(2024)FrameKit: A Tool for Authoring Adaptive UIs Using KeyframesProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645176(660-674)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640543.3645176
Tarun GSharma VMudhafar MPathak VJabbar QAlwan AAlzubaidi LAlwan A(2024)The Estimation of PR Method with the use of LV of Web Pages2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE60783.2024.10616813(1418-1422)Online publication date: 14-May-2024
https://doi.org/10.1109/ICACITE60783.2024.10616813
Aldalur I(2024)Web Augmentation: A systematic mapping studyScience of Computer Programming10.1016/j.scico.2023.103045232(103045)Online publication date: Jan-2024
https://doi.org/10.1016/j.scico.2023.103045
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Index Terms

SAM: a modular framework for self-adapting web menus
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Interaction design
    1. Interaction design process and methods
      1. User interface design

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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 ...
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cover image ACM Conferences

IUI '19: Proceedings of the 24th International Conference on Intelligent User Interfaces

March 2019

713 pages

ISBN:9781450362726

DOI:10.1145/3301275

General Chairs:
Wai-Tat Fu,
Shimei Pan,
Program Chairs:
Oliver Brdiczka,
Polo Chau,
Gaelle Calvary

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 17 March 2019

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H2020 European Research Council

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IUI '19

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IUI '19: 24th International Conference on Intelligent User Interfaces

March 17 - 20, 2019

California, Marina del Ray

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IUI '19 Paper Acceptance Rate 71 of 282 submissions, 25%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

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IUI '25

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March 24 - 27, 2025

Cagliari , Italy

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Cited By

Wu JTodi KChan JMyers BLafreniere B(2024)FrameKit: A Tool for Authoring Adaptive UIs Using KeyframesProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645176(660-674)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640543.3645176
Tarun GSharma VMudhafar MPathak VJabbar QAlwan AAlzubaidi LAlwan A(2024)The Estimation of PR Method with the use of LV of Web Pages2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE60783.2024.10616813(1418-1422)Online publication date: 14-May-2024
https://doi.org/10.1109/ICACITE60783.2024.10616813
Aldalur I(2024)Web Augmentation: A systematic mapping studyScience of Computer Programming10.1016/j.scico.2023.103045232(103045)Online publication date: Jan-2024
https://doi.org/10.1016/j.scico.2023.103045
Carrera-Rivera ALarrinaga FLasa GMartinez-Arellano GUnamuno G(2024)AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service SystemsUser Modeling and User-Adapted Interaction10.1007/s11257-024-09414-0Online publication date: 12-Aug-2024
https://doi.org/10.1007/s11257-024-09414-0
Aldalur IPerez ALarrinaga FIllarramendi M(2024)A visual programming tool for mobile web augmentationKnowledge and Information Systems10.1007/s10115-023-02039-666:9(5631-5668)Online publication date: 23-May-2024
https://doi.org/10.1007/s10115-023-02039-6
Prashant PSushil S(2023)Exploring the user’s preferences of different adaptation policies in adaptive menu designTrends in Computer Science and Information Technology10.17352/tcsit.0000628:1(005-011)Online publication date: 15-Feb-2023
https://doi.org/10.17352/tcsit.000062
Chen XTang XZhao YHuang TQian RZhang JChen WWang X(2023)Evaluating Visual Consistency of Icon Usage in Across-DevicesInternational Journal of Human–Computer Interaction10.1080/10447318.2022.216227540:9(2415-2431)Online publication date: 8-Jan-2023
https://doi.org/10.1080/10447318.2022.2162275
Evangelista Belo JLystbæk MFeit APfeuffer KKán POulasvirta AGrønbæk K(2022)AUIT – the Adaptive User Interfaces Toolkit for Designing XR ApplicationsProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545651(1-16)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545651
Todi KBailly GLeiva LOulasvirta AKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Adapting User Interfaces with Model-based Reinforcement LearningProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445497(1-13)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445497
Mukhiya SWake JInal YLamo Y(2020)Adaptive Systems for Internet-Delivered Psychological TreatmentsIEEE Access10.1109/ACCESS.2020.30027938(112220-112236)Online publication date: 2020
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