Visual Menu Techniques
Open accessAbstract
Menus are used for exploring and selecting commands in interactive applications. They are widespread in current systems and used by a large variety of users. As a consequence, they have motivated many studies in Human-Computer Interaction (HCI). Facing the large variety of menus, it is difficult to have a clear understanding of the design possibilities and to ascertain their similarities and differences. In this article, we address a main challenge of menu design: the need to characterize the design space of menus. To do this, we propose a taxonomy of menu properties that structures existing work on visual menus. As properties have an impact on the performance of the menu, we start by refining performance through a list of quality criteria and by reviewing existing analytical and empirical methods for quality evaluation. This taxonomy of menu properties is a step toward the elaboration of advanced predictive models of menu performance and the optimization of menus. A key point of this work is to focus both on menus and on the properties of menus, and then enable a fine-grained analysis in terms of performance.
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Folding truncates items with lower priority or relevance, declutters the visual space, simplifies the User Interface, and guarantees that pertinent information is presented to the user.
“Truncating items with lower priority or relevance-commonly referred to as folding-declutters the visual space.This simplifies the User Interface and guarantees that pertinent information is presented to the user, contributing to a more focused and efficient interaction (Bailly et al. 2016).”
From AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems (2024) · cites this paper as Bailly et al. 2016
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References 163 · Cited by 139
- Authors
- Bailly, G., Lecolinet, E., & Nigay, L.
- Affiliations
- Télécom Paris (FR)
- Telecom ParisTech, Paris-Saclay University, CNRS LTCI
- Centre National de la Recherche Scientifique (FR)
- Venue
- ACM Computing Surveys
- Published
- 2016-12-12
- Volume
- 49
- Issue
- 4
- Pages
- 1-41
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2563363262
- Cited by
- 139
- References
- 163
- Citations by year
- 2026: 7 · 2025: 55 · 2024: 11 · 2023: 6 · 2022: 7 · 2021: 10 · 2020: 14 · 2019: 15 · 2018: 11 · 2017: 3
- FWCI
- 15.08
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Locations
- ACM Computing Surveys (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Keywords
- menu design, taxonomy (general classification scheme), quality standards, menu analysis, prediction model, menu optimization, command selection, interactive applications
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