WDMET Numeric and Descriptive Data User Interface Development Project

1996 ◽  
Author(s):  
Richard K. Pruett
Keyword(s):  
User Interface ◽  
Development Project ◽  
Descriptive Data ◽  
Data User

scholarly journals The 8 Years of Existence of Xper3: State of the art and future developments of the platform

2021 ◽  
Vol 5 ◽  
Author(s):  
Adeline Kerner ◽  
Sylvain Bouquin ◽  
Rémy Portier ◽  
Régine Vignes Lebbe
Keyword(s):  
User Interface ◽  
Natural Language ◽  
Knowledge Base ◽  
Knowledge Bases ◽  
Free Access ◽  
Global Biodiversity Information Facility ◽  
Descriptive Data ◽  
Future Developments ◽  
Discriminating Power ◽  
Phenotypic Quality

The Xper3 platform was launched in November 2013 (Saucède et al. 2020). Xper3 is a free web platform that manages descriptive data and provides interactive identification keys. It is a follow-up to Xper (Forget et al. 1986) and Xper2 (Ung et al. 2010). Xper3 is used via web browsers. It offers a collaborative, multi-user interface without local installation. It is compatible with TDWG’s Structured Descriptive Data (SDD) format. Xper3 and its previous version, Xper2, have already been used for various taxonomic groups. In June 2021, 4743 users had created accounts and edited 5756 knowledge bases. Each knowledge base is autonomous and can be published as a free access key link, as a data paper in publications or on websites. The risk of this autonomy and lack of visibility to already existing knowlege bases is possible duplicated content or overlapping effort. Increasingly, users have asked for a public overview of the existing content. A first version of a searching tool is now available online. Explorer lists the databases whose creators have filled in the extended metadata and have accepted the referencing. The user can search by language, taxonomic group, fossil or current, geography, habitat, and key words. New developments of Xper3 are in progress. Some have a first version online, others are in production and the last ones are future projects. We will present an overview of the different projects in progress and for the future. Calculated descriptors are a distinctive feature of Xper3 (Kerner and Vignes Lebbe 2019). These descriptors are automatically computed from other descriptors by using logical operators (Boolean operators). The use of calculated descriptors remains rare. It is necessary to put forward the calculated descriptors to encourage more feedback in order to improve them. The link between Xper3 and Annotate continues to improve (Hays and Kerner 2020). Annotate offers the possibility of tagging images with controlled vocabularies structured in Xper3. Then, an export from Annotate to Xper3, allows automatic filling in of the Xper3 knowledge base with the descriptions (annotations and numerical measures) of virtual specimens, and then comparing specimens to construct species descriptions, etc. Future developments are in progress that will modify the Xper3 architecture in order to have the same functionalities in both local and online versions and to allow various user interfaces from the same knowledge bases. Xper2-specific features, such as merging states, adding notes, adding definitions and/or illustrations in the description tab, having different ways of sorting and filtering the descriptors during an identification (by groups, identification power, alphabetic order, specialist’s choice) have to be added to Xper3. A new tab in Xper3’s interface is being implemented to give an access to various analysis tools, via API (Application Programming Interface), or R programming code: MINSET: minimum list of descriptors sufficient to discriminate all items MINDESCR: minimum set of descriptors to discriminate an item DESCRXP: generating a description in natural language MERGEMOD: proposing to merge states without loss of discriminating power DISTINXP, DISTVAXP: computing similarities between items or descriptors MINSET: minimum list of descriptors sufficient to discriminate all items MINDESCR: minimum set of descriptors to discriminate an item DESCRXP: generating a description in natural language MERGEMOD: proposing to merge states without loss of discriminating power DISTINXP, DISTVAXP: computing similarities between items or descriptors One last project that we would like to implement is an interoperability between Xper3, platforms with biodiversity data (e.g., Global Biodiversity Information Facility, GBIF) and bio-ontologies. An ID field already exists to add Universally Unique IDentifiers (UUID) for taxa. ID fields have to be added for descriptors and states to link them with ontologies e.g., Phenotypic Quality Ontology PATO, Plant Ontology PO. We are interested in discussing future developments to further improve the user interface and develop new tools for the analysis of knowledge bases.

Integrated Voice-and-Data User Interface Designs

1986 ◽  
Vol 30 (8) ◽  
pp. 814-818
Author(s):  
F. M. Marchetti ◽  
B. H. Tsuji
Keyword(s):  
User Interface ◽  
Social Interactions ◽  
Integrated System ◽  
Data System ◽  
Data Systems ◽  
Data User ◽  
Voice Data ◽  
Interface Designs

A relatively new area of development is integrated voice and data systems. With its advent come challenges for both the engineering and behavoural scientists. Because integrated voice and data systems provide an opportunity to rely on human social interactions and communication, the user interface for such an integrated system is greatly simplified. Below we describe the behavioural issues which have guided the development of an integrated voice-data system.

OpenSearch API for Earth observation DataHub service

2020 ◽  
Author(s):  
Jovanka Gulicoska ◽  
Koushik Panda ◽  
Hervé Caumont
Keyword(s):  
User Interface ◽  
Development Project ◽  
Earth Observation ◽  
International Standards ◽  
Data Sources ◽  
Observation Data ◽  
General Description ◽  
Search Results ◽  
Earth Observation Data ◽  
Data Collections

<p>OpenSearch is a de-facto standard specification and a collection of technologies that allow publishing of search results in a format suitable for syndication and aggregation. It is a way for websites and search engines to publish search results in a standard and accessible format.</p><p>Evolved through extensions within an international standards organisation, the Open Geospatial Consortium, OpenSearch has become a reference to make queries to a repository that contains Earth Observation information, to send and receive structured, standardized search requests and results, and to allow syndication of repositories. It is in this evolved form a shared API used by many applications, tools, portals and sites in the Earth sciences community. The OGC OpenSearch extensions that have been implemented for the NextGEOSS DataHub, following the OGC standards and validated to be fully compatible with the standard.</p><p>The OGC OpenSearch extensions implemented for CKAN, the open source software solution supporting the NextGEOSS Datahub, add the standardized metadata models and the OpenSearch API endpoints that allow the indexing of distributed EO data sources (currently over 110 data collections), and makes these available to client applications to perform queries and get the results. It allowed to develop a simple user interface as part of the NextGEOSS DataHub Portal, which implements the two-step search mechanism (leveraging data collections metadata and data products metadata) and translates the filtering done by users to an OpenSearch matching query. The user interface can render a general description document, that contains information about the collections available on the NextGEOSS DataHub, and then get a more detailed description document for each collection separately.</p><p>For generating the structure of the description documents and the result feed, we are using CKAN’s templates, and on top of that we are using additional files which are responsible for listing all available parameters and their options and perform validation on the query before executing. The search endpoint for getting the results feed, uses already existing CKANs API calls in order to perform the validation and get the filtered results taking into consideration the parameters of the user search.</p><p>The current NextGEOSS DataHub implementation therefore provides a user interface for users who are not familiar with Earth observation data collections and products, so they can easily create queries and access its results. Moreover, the NextGEOSS project partners are constantly adding additional data connectors and collecting new data sources that will become available through the OGC OpenSearch Extensions API. This will allow NextGEOSS to provide a variety of data for the users and accommodate their needs.</p><p> </p><p>NextGEOSS is a H2020 Research and Development Project from the European Community under grant agreement 730329.</p>

Reworking the User Interface during Convergence of Several Software Products

1987 ◽  
Vol 31 (7) ◽  
pp. 710-714
Author(s):  
Lynn C. Percival
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Development Project ◽  
Complex Environment ◽  
Operational Environment ◽  
Development Activity ◽  
Preliminary Testing ◽  
Software Products ◽  
Software Product

This paper documents the role of human factors engineers in some aspects of a development project for a large software product used in a complex operational environment. The process by which the user interfaces for several products were converged into a single one is described. Techniques for evaluating the user interface in this complex environment are discussed. The process involved preliminary testing to document problems, subsequent design and development activity, and verification testing to document improvements and remaining problems.

Human Factors Evaluation of Gas Turbine Expert System

1987 ◽  
Vol 31 (10) ◽  
pp. 1133-1137
Author(s):  
Christopher G. Koch
Keyword(s):  
User Interface ◽  
Expert System ◽  
Human Factors ◽  
Gas Turbine ◽  
Field Evaluation ◽  
Development Project ◽  
User Training ◽  
Knowledge Based ◽  
Modular Software ◽  
Communications Protocol

A research and development project is under way to specify, design, construct, and evaluate a user interface system to meet the unique requirements of a delivery vehicle for a knowledge-based system applied to gas turbine electronics maintenance and trouble-shooting. The prototype user interface is a portable device with text display, video and overlay graphics display, voice recognition and speech production, special-function keypad, and printer. A modular software structure based on a serial communications protocol between user interface device and expert system host computer provides flexibility, expandability, and a simple, effective user interface dialog. A human factors field evaluation is being conducted to assess aspects of system usability: device hardware, system operability, information presentation effectiveness, and user training.

Remote On-Line Control of a High-Voltage in situ Transmission Electron Microscope with A Rational User Interface

1996 ◽  
Vol 54 ◽  
pp. 384-385
Author(s):  
M.A. O’Keefe ◽  
J. Taylor ◽  
D. Owen ◽  
B. Crowley ◽  
K.H. Westmacott ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Electron Microscope ◽  
User Interface ◽  
Transmission Electron Microscope ◽  
High Voltage ◽  
Materials Science ◽  
Transmission Electron ◽  
On Line ◽  
Electron Microscopes

Remote on-line electron microscopy is rapidly becoming more available as improvements continue to be developed in the software and hardware of interfaces and networks. Scanning electron microscopes have been driven remotely across both wide and local area networks. Initial implementations with transmission electron microscopes have targeted unique facilities like an advanced analytical electron microscope, a biological 3-D IVEM and a HVEM capable of in situ materials science applications. As implementations of on-line transmission electron microscopy become more widespread, it is essential that suitable standards be developed and followed. Two such standards have been proposed for a high-level protocol language for on-line access, and we have proposed a rational graphical user interface. The user interface we present here is based on experience gained with a full-function materials science application providing users of the National Center for Electron Microscopy with remote on-line access to a 1.5MeV Kratos EM-1500 in situ high-voltage transmission electron microscope via existing wide area networks. We have developed and implemented, and are continuing to refine, a set of tools, protocols, and interfaces to run the Kratos EM-1500 on-line for collaborative research. Computer tools for capturing and manipulating real-time video signals are integrated into a standardized user interface that may be used for remote access to any transmission electron microscope equipped with a suitable control computer.

Writing Funding Proposals for Speech-Language Staff Development Projects

1982 ◽  
Vol 13 (3) ◽  
pp. 163-171
Author(s):  
Carol A. Esterreicher ◽  
Ralph J. Haws
Keyword(s):  
Staff Development ◽  
Development Project ◽  
Project Manager ◽  
State Funding ◽  
Service Needs ◽  
School Environments ◽  
Speech Language Pathologists ◽  
Service Programs ◽  
Speech Language Pathologist ◽  
Special Programs

Speech-language pathologists providing services to handicapped children have pointed out that special education in-service programs in their public school environments frequently do not satisfy the need for updating specific diagnostic and therapy skills. It is the purpose of this article to alert speech-language pathologists to PL 94-142 regulations providing for personnel development, and to inform them of ways to seek state funding for projects to meet their specialized in-service needs. Although a brief project summary is included, primarily the article outlines a procedure whereby the project manager (a speech-language pathologist) and the project director (an administrator in charge of special programs in a Utah school district) collaborated successfully to propose a staff development project which was funded.

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