Adaptive menu: A review of adaptive user interface

Main Article Content

Sushil Shrestha*
Prashant Poudel
Siza Adhikari
Isha Adhikari

Abstract

Intelligent User Interface (IUI) is an emerging interdisciplinary research area that focuses on improving the usability of existing user interfaces. Adaptive menus are the part of the IUI that is trying to improve existing menus’ usability by reducing the selection time. This paper surveys the most relevant studies that are carried out in this field. First, it introduces an Adaptive User Interface (AUI) and adaptive menus then describe various adaptation styles and adaptation policies that are being used in adaptive menus along with their benefits and drawbacks. It then lists the applications of adaptive systems and how they can be used, as well as the limitations and future direction of the work.

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Article Details

Shrestha, S., Poudel, P., Adhikari, S., & Adhikari, I. (2022). Adaptive menu: A review of adaptive user interface. Trends in Computer Science and Information Technology, 7(3), 103–106. https://doi.org/10.17352/tcsit.000059
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Copyright (c) 2022 Shrestha S, et al.

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Ehlert PA. Intelligent User Interfaces: Introduction and survey. Delft University of Technology, The Netherlands. 2003.

Hartmann M. Challenges in Developing User-Adaptive Intelligent User Interfaces. In Proceedings of the 17th Workshop on Adaptivity and User Modeling in Interactive Systems. 2009.

Gajos KZ, Czerwinski M, Tan DS, Weld DS. Exploring the design space for adaptive graphical user interfaces. AVI ’06: Proceedings of the working conference on Advanced visual interfaces. 2016.

Jameson A. Adaptive interfaces and agents. In JA Jacko & A Sears(Eds.), The human-computer interaction handbook. LawrenceErlbaum Associates. 2003; 305:330.

Gonçalves T, Rocha A. Development process for intelligent user interfaces: an initial approach. SBQS'19: Proceedings of the XVIII Brazilian Symposium on Software Quality. 2019; 210-215.

Duarte C, Carrico L. A Conceptual Framework for Developing Adaptive Multimodal Applications. Proceedings of the 2006 International Conference on Intelligent User Interfaces. 2006; 132-139.

Sears A, Shneiderman B. Split menus: efectively using selection frequency to organize menus. ACM Transactions on Computer-Human Interaction (TOCHI). 1994; 1: 1; 27-51.

Kleiss JA. Identifying users’ conceptual organization of menu functions in an automotive electronic navigation product. In: Proceedings of the Human Factors and Ergonomics Society 41st Annual Meeting, Santa Monica, CA. 1997; 944-948.

Bouzit S, Calvary G, Chêne D, Vanderdonckt J. A design space for engineering graphical adaptive menus. EICS'16. 2016.

Bertin BR. Sémiologie graphique. Paris, Mouton et Gauthier- Villars. 1968.

Bouzit S, Vanderdonckt J, Calvary G, Chêne D. Cloud Menus, a CircularAdaptive Menu for Small Screens. IUI, AMC. 2018; 7-11.

Antwarg L, Lavie I, Rokach L, Shapira B, Meyer J. Highlighting items as means of adaptive assistance. Behaviour & Information Technology. 2013; 32:8; 761-777.

Park J, Han SH, Park YS, Cho Y. Usability of Adaptable and Adaptive Menus. In Proc. of 2'd Int. Conf. on Usability and Internationalization (UI- HCII'2007), LNCS. 2007; 4559:405-411.

Liu W, Bailly G, Howes A. Effects of Frequency Distribution on Linear Menu Performance. In Proc. of CHI'. 2017; 1307-1312.

TanvirE, Cullen J, Irani P, Cockburn A. AMU: Adaptive Activation Area Menus for Improving Selection in Cascading Pull-Down Menus. In Proc. of CHI'. 2008; 1381-1384.

Jean V, Sara B, Gaelle C , DenisC. Exploring a Design Space of Graphical Adaptive Menus: Normal vs. Small Screens. ACM Transactions on Interactive Intelligent Systems. 2019; 10:1-4.

Findlater L, Moffatt K, McGrenere J, Dawson J. Ephemeral Adaptation:The Use of Gradual Onset to Improve Menu Selection Performance. CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2009; 1655-1664.

Gobert C, Todi K, Bailly G, Oulasvirta A. SAM: A Modular Framework for Self-Adapting Web Menus. Proceedings of the 24th International Conference on Intelligent User Interfaces. 2019; 481-484.

Kashyap T, Jussi J, Kris L, Antti O. Familiarisation: Restructuring Layouts with Visual Learning Models. In 23rd International Conference on Intelligent User Interfaces (IUI '18). Association for Computing Machinery, New York, NY, USA. 2018; 547-558.

Stephen F, Andy C. AccessRank: Predicting what users will do next. Conference on Human Factors in Computing Systems - Proceedings. 2012; 10.1145/2207676.2208380.

Chujkova E, Aidinyan A, Tsvetkova O. Adaptation Algorithm for Application Menus. Programming and Computer Software. 2020;46: 397-405.

Hook K. Steps to take before intelligent user interfaces become real. Journal of Interacting with Computers. 2000; 12(4):409-426.

Kashyap T, Gilles B , Luis L, Antti O. Adapting User Interfaces with Model-based Reinforcement Learning. 2021; 1-13.

Tsandilas T, Schraefel MC. An empirical assessment of adaptation techniques. In CHI’05 Extended Abstracts. 2005; 2009-2012.

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