Thesis (M.H.A.)--University of Michigan, 1975.

Approved for public release; distribution is unlimited / The goal of this study is to provide a single source of data that enables the selection of an appropriate voice recognition (VR) application for a decision support system (DSS) as well as for other computer applications. A brief background of both voice recognition systems and decision supports systems is provided with special emphasis given to the dialog component of DSS. The categories of voice recognition discussed are human factors, environmental factors, situational factors, quantitative factors, training factors, host computer factors, and experiments and research. Each of these areas of voice recognition is individually analyzed, and specific references to applicable literature are included. This study also includes appendices that contain: a glossary (including definitions) of phrases specific to both decision support system and voice recognition systems, keywords applicable to this study, an annotated bibliography (alphabetically and by specific topics) of current VR systems literature containing over 200 references, an index of publishers, a complete listing of current commercially available VR systems. / http://archive.org/details/applicationofvoi00drak / Lieutenant, United States Navy

Telenursing is a highly specialized area of nursing practice that has evolved in response to the advent of new technologies within the delivery of health care. Telenursing has been defined as “the use of communications and information technology [ICT’s] to deliver health and health care services and information over large and small distances (CRNBC, 2016). Telenurses use health information systems (HIS) in the form of a Clinical Decision Support System (CDSS) to assist callers with their health related concerns on a 24/7 basis. As decision making is an integral part of telenurse practice, particularly because they are using a CDSS while assessing the caller over the phone, it was important to understand the factors that influence the decision making process so as to better support telenurse practice in terms of education as well as other supports. This thesis identified those factors and used Rasmussen’s Decision Ladder as a model in order to provide a framework for telenursing. It was found that there were several factors identified that influenced how telenurses made decisions while using a CDSS. Additionally, the decision ladder was validated as a framework to describe telenurse practice. / Graduate

published_or_final_version / Urban Planning and Environmental Management / Doctoral / Doctor of Philosophy

published_or_final_version / abstract / Industrial and Manufacturing Systems Engineering / Master / Master of Philosophy

Effective resource management requires tools and decision aides to help determine users' needs and appropriate assignment. The goal of this research was to design, implement, and test technological tools that, even in a dynamic environment, effectively support the matching of users and resources. The context of the investigation is the Information Center, the structure used to manage and control the computing resources demanded by end users. The major contributions of the research lie in two areas: (1) the development and use of a knowledge acquisition called Resource Attribute Charts (RAC), which allow for the structured definition of the resources managed by the IC, and (2) the design, implementation, validation, and verification of the transportability of Information Center Expert, a system that supports the activities of the IC personnel. Prototyping, the system development methodology commonly used in software engineering, was used to design the general architecture of the knowledge acquisition tools, the knowledge maintenance tool, and the expert system itself. The knowledge acquisition tools, RAC, were used to build the knowledge base of ICE (Information Center Expert). ICE was installed at two corporate sites, its software recommendations were validated, and its transportability from one location to another was verified experimentally. The viability of a rule-based consultation system as a mechanism for bringing together knowledge about users, problems, and resources for the purpose of effective resource management was demonstrated.

Memory is a complex cognitive process which has been widely researched within the field of neuropsychology. In clinical studies of adults, the Wechsler Memory Scale (WMS) is widely used. At this time there is no comparable clinical tool within the child literature pertaining to memory. There are studies which have extended the age limits of the WMS, but the youngest sample ranged from 10 to 14 years of age. The present research was conducted in two studies. The first study concerns the development of a memory scale for use with children aged six to twelve. This scale, Wilson's Adapted Memory Scale for Children (WAMS-C), was constructed utilizing the basic structure and subtests of the WMS. The scale was administered to 33 normal children, ranging in age from 6 to 12 years. It was hypothesized that the scale would reflect the developmental nature of memory as well as the relationship between memory and intelligence. The second study compared the memory skills of a learning disabled (LD) sample of children to those of a sample of normal learning (NL) children. A specific profile of academic achievement was used to define the LD children who participated in this study. (Reading and Spelling impaired, and relatively better Arithmetic skills). Research conducted by Rourke and his associates identified this subtype of LD children and provided predictions pertaining to their differential performance on verbal and visual tasks. The WAMS-C contains both verbal and visual memory tasks. It was predicted that these children would (1) do less well than NL children on the memory scale and (2) that these LD children would be impaired on the verbal memory portion of the WAMS-C, compared to NL children, but would exhibit equivalent performance on the visual memory tasks. The results of the studies showed the WAMS-C to reflect the developmental nature of memory and the relationship with intelligence. Also, LD children had significantly lower scores on the WAMS-C. However, neither the verbal or visual subtests differentiated between groups. Rather, subtests which may reflect short-term memory deficits and/or attentional problems appeared responsible for the differences found.

Information system requirements determination is a key area in management information systems research that includes the problems of requirements specification, requirements elicitation, and user involvement. The combination of these three problems is a research area which we call the group approach to information system requirements determination. The main contribution of this research is a model to be used for the problem of fitting existing computer aids to this research area and a set of methods for solving the usability and configuration problems when using such computer aids. The usability problem is that of determining whether a set of computer aids can be used effectively in accomplishing the task of requirements determination. The configuration problem is that of selecting a minimum collection of funtionalities necessary for economically supporting all aspects of requirements determination. Electronic meeting systems are the general category of computer aids that we are interested in applying to the task. In particular, the GroupSystems electronic meeting system developed at The University of Arizona is used as a case in this research. Characteristics of the requirements determination task and profiles of GroupSystems tools are combined into our model for fitting computer aids to a given task. We then derive the answers regarding the usability and configuration of GroupSystems in the group approach to information system requirements determination. We also compare the derived configurations to the GroupSystems tools used in an authentic case. The main points of this research include: (1) proposal of the concept of fitting computer aids to, instead of developing new computer aids for, a task area; (2) proposal of a model for fitting computer aids via a classification of information types; (3) analysis of the natures of the fitting model and the usability and configuration problems; (4) proposal of approximation methods for solving the configuration problem; (5) analysis of the task area--the group approach to information system requirements determination; (6) analysis of the use of GroupSystems in the task area by applying the proposed fitting model and approximation methods; and (7) demonstration of the usefulness of the fitting model and approximation methods by analyzing an authentic case of using GroupSystems tools.

Business Intelligence (BI) techniques provide the potential to not only efficiently manage but further analyse and apply the collected information in an effective manner. Benefiting from research both within industry and academia, BI provides functionality for accessing, cleansing, transforming, analysing and reporting organisational datasets. This provides further opportunities for the data to be explored and assist organisations in the discovery of correlations, trends and patterns that exist hidden within the data. This hidden information can be employed to provide an insight into opportunities to make an organisation more competitive by allowing manager to make more informed decisions and as a result, corporate resources optimally utilised. This potential insight provides organisations with an unrivalled opportunity to remain abreast of market trends. Consequently, BI techniques provide significant opportunity for integration with Decision Support Systems (DSS). The gap which was identified within the current body of knowledge and motivated this research, revealed that currently no suitable framework for BI, which can be applied at a meta-level and is therefore tool, technology and domain independent, currently exists. To address the identified gap this study proposes a meta-level framework: - ‘KDDS-BI’, which can be applied at an abstract level and therefore structure a BI investigation, irrespective of the end user. KDDS-BI not only facilitates the selection of suitable techniques for BI investigations, reducing the reliance upon ad-hoc investigative approaches which rely upon ‘trial and error’, yet further integrates Knowledge Management (KM) principles to ensure the retention and transfer of knowledge due to a structured approach to provide DSS that are based upon the principles of BI. In order to evaluate and validate the framework, KDDS-BI has been investigated through three distinct case studies. First KDDS-BI facilitates the integration of BI within ‘Direct Marketing’ to provide innovative solutions for analysis based upon the most suitable BI technique. Secondly, KDDS-BI is investigated within sales promotion, to facilitate the selection of tools and techniques for more focused in store marketing campaigns and increase revenue through the discovery of hidden data, and finally, operations management is analysed within a highly dynamic and unstructured environment of the London Underground Ltd. network through unique a BI solution to organise and manage resources, thereby increasing the efficiency of business processes. The three case studies provide insight into not only how KDDS-BI provides structure to the integration of BI within business process, but additionally the opportunity to analyse the performance of KDDS-BI within three independent environments for distinct purposes provided structure through KDDS-BI thereby validating and corroborating the proposed framework and adding value to business processes.

International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California / ASW-II (Advanced Satellite Workstation, Version II) has been developed and delivered as an operational prototype in support of the Ultra High Frequency (UHF) Follow-On satellite. It provides unified and coordinated real time reception and storage of satellite telemetry, display of both real time and stored telemetry, expert-system analysis of spacecraft status, and an information navigator system that stores and presents information about the spacecraft. The architecture is modular and reconfigurable, and it provides support for multiple analyst workstations. There are several unusual aspects of the design. The entire telemetry history of the satellite is regarded as a continuum by the user, with ASW-II automatically tracking and displaying contact periods. A "streams" mechanism organizes the telemetry in such a way that the user can interactively define new derived parameters and have them presented graphically. Both real time and archived data can be displayed simultaneously. The user has very flexible controls for all display interfaces using mouse and window technologies.