User's Knowledge Level Research Articles

Development and Evaluation of Internet-based Public Health Manpower Training Program

This study aimed to develop and evaluate health educational information system on internet to train health center workers. Internet-based Public Health Manpower Training Program was developed based on the findings of the needs of health center worker. It consisted of E-mail based on-line lesson. The effects of developed Internet-based Public Health Manpower Training Program were assessed by questionnaires of users about legibility, readability, satisfaction, changes in level of knowledge, and practical uses, etc. Most users (94.3%) of Internet-based Public Health Manpower Training Program reported that they were satisfied with the programs, and 90% of users reported that the programs improved their performance in health education, consultation and medical examination. Knowledge levels of users were elevated after program participation (statistically non significant). Internet-based Public Health Manpower Training Program had positive effects on the performance of health center workers, and we expect this program to help the planning for public health manpower

Construction of consultation systems on descriptive knowledge

This paper proposes the method to design consultation systems on descriptive knowledge such as various kinds of regulations, manual, or specifications of instruments and machinery. In the method the semantic rule for the linguistic variable is employed for handling knowledge levels of users’ who use the consultation system. The proper range and depth of the required knowledge is effectively elicited on the base of linguistic variables. Furthermore, a global search is effectively performed using fuzzy relations and logged data about the subject with which the user have concerned, even if the retrieval indices do not work. In this paper we exemplify the design method to build one consultation system on the descriptions of Japanese Industrial Standard (JIS).

An analysis of a model of computer viruses spreading via electronic mail

AbstractIn this paper we consider a model of the spread of computer viruses which can spread over a wide area in a short time by electronic mail. In addition to clarifying how a virus spreads, the purpose of this paper is to obtain new ideas about virus countermeasures. In this analysis of how a virus spreads, we use a simple mathematical model and simulations to clarify the changes over time of the number of infections, the relationship between the number of computer connections and the number of infections, the effects of suppressing virus spread by improving the level of user knowledge against viruses, and the effects of suppressing virus spread using antivirus software. © 2002 Wiley Periodicals, Inc. Syst Comp Jpn, 33(14): 81–90, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.1178

Does AMC Really Mean “Archives Made Confusing”?

This article builds on an earlier study that found the MARC AMC format confusing to users. To decide whether this stemmed from a lack of knowledge among users, or from the records, this study surveyed two groups, only one of which was familiar with USMARC. The results showed the level of user knowledge to be an issue, but only on some questions. On others, the problem stemmed from the record. Implication: For distant retrieval to work, MARC AMC information must become more standardized. In addition, user education (including through help screens) must be tailored to the problems of distant retrievers.

Reasoning on domain knowledge level in human-computer interaction

This paper proposes an innovative approach for dynamically analyzing a user's dialog behavior and inferring a user's domain knowledge level simultaneously that combines neural networks, fuzzy cognitive maps, and fuzzy production rules. Further, this approach supports more cooperative human-computer interaction through dialog adaptation. Furthermore, when the user's knowledge level and problem-solving capability are inferred more accurately, there is more assurance that the system's interaction strategy can match more closely to the user's style. This research implements a neural network for classifying a user's performance pattern using UNIX file security commands. Input and output information that relate to a fuzzy cognitive map and fuzzy production rules are explained.