scholarly journals Interaction Tasks and Controls for Public Display Applications

2014 ◽  
Vol 2014 ◽  
pp. 1-17 ◽  
Author(s):  
Jorge C. S. Cardoso ◽  
Rui José
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Multiple Forms ◽  
Public Display ◽  
Public Displays ◽  
Low Level ◽  
Interaction Mechanisms ◽  
High Level ◽  
Display Systems

Public displays are becoming increasingly interactive and a broad range of interaction mechanisms can now be used to create multiple forms of interaction. However, the lack of interaction abstractions forces each developer to create specific approaches for dealing with interaction, preventing users from building consistent expectations on how to interact across different display systems. There is a clear analogy with the early days of the graphical user interface, when a similar problem was addressed with the emergence of high-level interaction abstractions that provided consistent interaction experiences to users and shielded developers from low-level details. This work takes a first step in that same direction by uncovering interaction abstractions that may lead to the emergence of interaction controls for applications in public displays. We identify a new set of interaction tasks focused on the specificities of public displays; we characterise interaction controls that may enable those interaction tasks to be integrated into applications; we create a mapping between the high-level abstractions provided by the interaction tasks and the concrete interaction mechanisms that can be implemented by those displays. Together, these contributions constitute a step towards the emergence of programming toolkits with widgets that developers could incorporate into their public display applications.

Diffrac-at Search: Search/Match Using Full Traces as Input

1993 ◽  
Vol 37 ◽  
pp. 59-66
Author(s):  
Julian Nusinovici ◽  
Marcus J. Winter
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
User Friendliness ◽  
Key Features ◽  
High Level

AbstractThe advantages of using the full trace as input for search/match rather than the traditional list of d/I values are emphasized. These advantages stem from the availability and the logical employment of the whole information of the diffractogram.The two key features which enable successful identification of minor phases are discussed: (1) the reliable discrimination between background and weak lines and (2) by regarding the actual full widths of major lines as regions where weak lines can, potentially, he obscured.The user friendliness of the. package will be presented: the graphical user interface, the high level of interactivity, and the speed of the search/match - now less than 8 seconds for searching the current whole ICDD database of 61,993 reference patterns when using an i486/66-based PC.

Staged Façades

2011 ◽  
pp. 111-119
Author(s):  
Bernhard Wally ◽  
Alois Ferscha
Keyword(s):  
Urban Spaces ◽  
Multimedia Content ◽  
Public Display ◽  
Digital Signage ◽  
Public Displays ◽  
Promising Technology ◽  
Previous State ◽  
Display Systems

Media façades, realized through projection systems, could be a promising technology for scalable public displays in urban spaces. With low requirements regarding the infrastructure and virtually no influence on the buildings’ fabric, projected façades offer exceptional flexibility and extensibility as well as easy maintenance. As cities are increasingly confronted with digital signage products besides other public display systems, a projector-based system offers the possibility to be switched off and restore the screen to its previous state in the blink of an eye. We present the prototypical implementation of a “Staged Façades Framework” leveraging a façade’s structure and ornamentation for dynamically adapting pieces of multimedia content.

scholarly journals Natural Language Processing and Fuzzy Tools for Business Processes in a Geolocation Context

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Isis Truck ◽  
Mohammed-Amine Abchir
Keyword(s):  
Natural Language Processing ◽  
User Interface ◽  
Natural Language ◽  
Language Processing ◽  
Business Processes ◽  
Software Agent ◽  
Natural Language Interfaces ◽  
Low Level ◽  
High Level ◽  
Fuzzy Linguistic

In the geolocation field where high-level programs and low-level devices coexist, it is often difficult to find a friendly user interface to configure all the parameters. The challenge addressed in this paper is to propose intuitive and simple, thus natural language interfaces to interact with low-level devices. Such interfaces contain natural language processing (NLP) and fuzzy representations of words that facilitate the elicitation of business-level objectives in our context. A complete methodology is proposed, from the lexicon construction to a dialogue software agent including a fuzzy linguistic representation, based on synonymy.

Research on Building the Resource Library of Course Teaching Based on the Cloud Computing

2014 ◽  
Vol 686 ◽  
pp. 263-267
Author(s):  
Lei Cen
Keyword(s):  
Cloud Computing ◽  
User Interface ◽  
Graphical User Interface ◽  
Teaching Resources ◽  
Low Level ◽  
Server Side ◽  
Virtualization Technology ◽  
Virtual Desktop ◽  
Resource Library

This paper puts forward sharing teaching resources based on cloud computing solutions, through the use of architecture means virtualization technology based on KVM on the server side, the infrastructure layer manage the underlying physical hardware equipment. In the realization of the infrastructure layer using Libvirt virtualization management suite that provides a common API development Web, through the RDP protocol, and finally access to the remote virtual desktop browser by the graphical user interface (GUI) and traditional Web B/S architecture, to simulate and access to low-level resources and sharing of teaching resources, teaching resources can be achieved education informatization in the process of teaching.

scholarly journals Evaluating UX using a Metric Model: the Case of a Handheld Computing System in South Africa

2019 ◽  
Vol 8 (12S) ◽  
pp. 743-750
Keyword(s):  
South Africa ◽  
User Interface ◽  
Graphical User Interface ◽  
Computing System ◽  
User Needs ◽  
High Fidelity ◽  
User Engagement ◽  
Handheld Computing ◽  
Industry Standards ◽  
High Level

For most experienced graphical user interface (GUI) and interactive designers, succeeding in acquiring, maintaining, and guiding potential high-level user engagement and user experience (UX) at the first attempt is often a dream. It often takes many low- and high-fidelity prototypes to obtain the desired solution, if not abandoning the entire activity altogether, due to mounting pressure and disappointment after failing to satisfy user needs while maintaining industry standards and design principles. The challenges are often due to the absence of known, agreed-upon evaluation mechanisms that are known and acceptable to interactive designers. The aim of this paper is to introduce an instrument that can be used to measure and evaluate UX, which can be used at any time during the design process and limits the pressure interactive designers too often experience.

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

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