Dynamic Menus Research Articles

Menu Dinamis pada Aplikasi Dalam Perspektif Human-Computer Interaction

One part of the interface of an application is the menu. Menus are a common user interface component in many types of applications. Through the menu, the commands of a software (program) are executed to run certain commands from the application. Accessing the menu repeatedly for the same feature is considered ineffective. One of the solutions offered by the researchers is to provide a concept, namely the creation of dynamic menus. This article provides an overview of the dynamic menu concept through several examples of articles from previous researchers

Research of Menu Item Grouping Techniques for Dynamic Menus

Menu is an essential widget in human-computer interfaces. Item grouping cues are valuable for target visual search in a menu. In traditional static menus, logically related items are typically grouped by dividing lines. However, the static grouping cues are usually lost in dynamic menus. In this paper, we introduce two novel item grouping cues for dynamic menus, i.e. different background and foreground colors for different item groups. A quantitative experiment was done to compare two adaptive menus with the proposed grouping cues with a typical adaptive split menu. The experimental results reveal that the menu with foreground grouping cues outperformed the other two in speed, and there was no significant difference between the three types of menu designs on accuracy. Most subjects preferred the foreground menu design for its better visual effect.

BCI Appliance

Event Abstract Back to Event BCI Appliance Tomasz Spustek1*, Mateusz Kruszyński2, Dawid Laszuk1, Piotr Milanowski1, Maciej Łabęcki1, Karol Augustin1, Anna Duszyk3, Rafał Kuś1, Jarosław Żygierewicz1 and Piotr Durka1 1 University of Warsaw, Faculty of Physics, ul. Hoza 69, 00-681 Warszawa, Poland, Poland 2 University of Warsaw, Faculty of Psychology, ul. Stawki 5/7, 00-183 Warszawa, Poland, Poland 3 University of Social Sciences and Humanities, ul. Chodakowska 19/31, 03-815 Warszawa, Poland, Poland Brain Computer-Interface (BCI) is a system that allows communication through direct measures of neural activity of the brain without muscle involvement. Such systems appear to be the only method of communication for people with severe neuromuscular disorders. There has been rapid development of BCI-systems for the last twenty years, but mostly in respect to accuracy and bit rate, rather than user convenience and ease of use. BCI Appliance, pioneering user-centered design of BCI systems, has been developped since 2009 at the University of Warsaw. The current prototype is a compact, tablet sized box with on/off button, which connects wirelessly to domotic and EEG acquisition devices. Presented hardware implements a unique design providing dynamic menus and stable delivery of SSVEP stimuli. The generation of stimuli is based upon an array of LEDs backlighting an LCD screen, where arbitrary symbols can be rendered within the designated fields. Each LED is independently driven by a micro-controller, which enables a precise control of its flickering frequency. The same system of fields can be used to deliver stimuli for the P300 based BCI. Software controlling the Appliance is based upon the OpenBCI framewok, developped at the University of Warsaw and released on terms of the GPL (http://openbci.pl). While the framework is multisystem and multilanguage, it is developped mostly in GNU/Linux which allows for a lightweight implementation of "Just Enough Operating System". Using the flexible structure and centralized data flow of the OpenBCI, we implemented universal user interface, which can be operated with SSVEP or P300 BCI, as well as other assistive technologies like switches and eyetrackers, with the possibility of unassisted switching between modalities by the user. It is beneficial for these users whose abilities degrade with time or those who would like to switch between the paradigms to reduce fatigue. Calibration procedures are fully automated, thus there is no need for manual fine-tuning of the parameters. This is due to advanced signal processing for feature extraction like Blind Source Separation, Canonical Correlation Analysis and classifiers based on machine learning algorithms. In this sense the software minimizes the need for a highly train personnel assisting the end-user to operate the Appliance. Keywords: brain machine interface, neuromuscular disorders, Neuroscience, brain computer-interfaces, Hardware Design Conference: 5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012. Presentation Type: Demo Topic: Neuroinformatics Citation: Spustek T, Kruszyński M, Laszuk D, Milanowski P, Łabęcki M, Augustin K, Duszyk A, Kuś R, Żygierewicz J and Durka P (2014). BCI Appliance. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2014.08.00051 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 Mar 2013; Published Online: 27 Feb 2014. * Correspondence: Dr. Tomasz Spustek, University of Warsaw, Faculty of Physics, ul. Hoza 69, 00-681 Warszawa, Poland, Warsaw, Poland, tspus@fuw.edu.pl Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Tomasz Spustek Mateusz Kruszyński Dawid Laszuk Piotr Milanowski Maciej Łabęcki Karol Augustin Anna Duszyk Rafał Kuś Jarosław Żygierewicz Piotr Durka Google Tomasz Spustek Mateusz Kruszyński Dawid Laszuk Piotr Milanowski Maciej Łabęcki Karol Augustin Anna Duszyk Rafał Kuś Jarosław Żygierewicz Piotr Durka Google Scholar Tomasz Spustek Mateusz Kruszyński Dawid Laszuk Piotr Milanowski Maciej Łabęcki Karol Augustin Anna Duszyk Rafał Kuś Jarosław Żygierewicz Piotr Durka PubMed Tomasz Spustek Mateusz Kruszyński Dawid Laszuk Piotr Milanowski Maciej Łabęcki Karol Augustin Anna Duszyk Rafał Kuś Jarosław Żygierewicz Piotr Durka Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

Design and Implementation of Dynamic Menu Based on Role-Based Access Control

Every application systems must provide different menus for different users and its corresponding operation authorities of different roles. While static menus, hidden menus and disabled menus lack flexibility, dynamic menus can overcome this shortcoming. In this paper, based on the theory of role-based access control, we propose the mechanism of different roles have different authority and dynamically generate corresponding dynamic menus. Whats more, we instantiate corresponding basic data table and relational data table, introduce the key techniques of using C# to implement dynamic menus and develop corresponding system. This system can timely generate dynamic menus according to the changes of relationship tables and entities, which make the system, have good usability and scalability.

Vertical versus dynamic menus on the world wide web: Eye tracking study measuring the influence of menu design and task complexity on user performance and subjective preference

Web sites need fast and effective navigation systems. An eye tracking laboratory study with n = 120 participants was conducted to compare the influence of different navigation designs (vertical versus dynamic menus) and task complexity (simple versus complex navigation tasks) on user performance, navigation strategy, and subjective preference. With vertical menus, users needed less eye fixations, were faster and more successful. We conclude that, firstly, vertical menus fit better to perception and cognition than dynamic menus, where the navigation items are hidden and must be accessed by an additional mouse click. Secondly, navigation systems should be extended with different kinds of navigation items adapted to the complexity of the users’ navigation tasks, because users tend to switch their navigation strategy when confronted with complex tasks.

Menu Pricing and Learning

We address the question of designing dynamic menus to sell experience goods. A dynamic menu consists of a set of price-quantity pairs in each period. The quality of the product is initially unknown, and more information is generated through experimentation. The amount of information in the market is increasing in the total quantity sold in each period, and the firm can control the information flow to the market by adjusting the level of sales. We derive the optimal menu as a function of consumers' beliefs about product quality, and characterize the changes in prices and quantities resulting from information diffusion. The equilibrium menu prices are the result of a dynamic trade-off between immediate gains from trade, information production, and information rents. The firm initially charges lower prices, in order to increase sales above the static optimum, sacrificing short-term gains in order to invest in information. As the market obtains more information, the firm gradually shifts to a policy designed to extract revenue from high-valuation buyers. This policy may eventually exclude low-valuation buyers from the market, even if the product's underlying quality is in fact high.

Menu Pricing and Learning

We analyze the design of dynamic menus to sell experience goods. The quality of the product is initially unknown, and the total quantity sold in each period determines the amount of information in the market. We characterize the optimum menu as a function of consumers' beliefs, and the dynamic adjustments resulting from the diffusion of information. The firm faces a dynamic trade-off between gains from trade, information production, and information rents. It initially charges lower prices, sacrificing short-term revenue to increase sales. As more information is revealed, prices increase, and low-valuation buyers are excluded, even when the product's quality is high. (JEL D42, D82, D83, L12)

A general UNIX interface for biocomputing and network information retrieval software.

We describe a UNIX program, HYBROW, which can integrate without modification a wide range of UNIX biocomputing and network information retrieval software. HYBROW works in conjunction with a separate set of ASCII files containing embedded hypertext-like links. The program operates like a hypertext browser featuring five basic links: file link, execute-only link, execute-display link, directory-browse link and field-filling link. Useful features of the interface may be developed using combinations of these links with simple shell scripts and examples of these are briefly described. The system manager who supports biocomputing users should find the program easy to maintain, and useful in assisting new and infrequent users; it is also simple to incorporate new programs. Moreover, the individual user can customize the interface, create dynamic menus, hypertext a document, invoke shell scripts and new programs simply with a basic understanding of the UNIX operating system and any text editor. This program was written in C language and uses the UNIX curses and termcap libraries. It is freely available as a tar compressed file (by anonymous FTP from nuscc.nus.sg).

Dynamic versus static menus: an exploratory comparison

Sixty-three subjects completed 24 tasks using a menu driven computer program. The menu items appeared in a fixed (static) order during 12 of the tasks. During the other 12 tasks the menu item order changed dynamically such that the most frequently selected items always appeared at the top of the menu. All the subjects tried both dynamic and static menus.The subjects that used adaptive dynamic menus for the first set of tasks were significantly slower than those who used static menus on the first set of tasks. Subjects' performance during the second set of tasks was not affected by menu style. Eighty-one percent of the subjects preferred working with static menus to working with dynamic menus.

Dynamic 3D modelling for architectural design

A graphics design system employing 2D input and display devices (such as the pen and tablet and the calligraphic CRT) to input, edit, and view 3D objects representing landscapes and architectural structures in realtime is discussed. Landscape is entered via a procedure that uses an inking algorithm to obtain 2D data defining the site's contours and additional available interactive devices to obtain the contour heights. Extrusion techniques and compound transformations are used to generate volumes from facial elements input via a suite of rubberband algorithms that take advantage of the graphics hardware. Dynamic menus, displayed transformation parameter values and extensive editing features facilitate user interaction. Architectural studies of complex structures built by combining basic architectural units input using extrusion techniques are presented.