Creating user manuals for use in collaborative design
نویسنده
چکیده
computer support to guarantee the correctness (and continuing editability) of their documentation. Serious accidents have occurred with very simple manuals done by hand [1]. Our own work has found further flaws in the A320 Flight Crew Operating Manual (FCOM). User manuals are usually written by technical authors after the design of the device has been committed for production. If the manual’s review leads to insight into the design, it is too late. Meanwhile, if the design is modified, the manual may be inaccurate. This paper describes an example language for creating accurate and complete manuals from formal specifications. We show how it can be used to improve part of the Flight Crew Operating Manual for the Airbus A320 fly-by-wire airplane. The technique is easy to implement, can be generalised to other domains, and contributes to concurrent engineering practice—increasing common ground between engineers, users and HCI practitioners. PREVIOUS WORK The work described here builds on earlier efforts: HyperDoc [8] is an interactive device simulator that generates interactive assistance, hypertext manuals, and also supports sophisticated design analysis in Mathematica; Manual Writer [9] is a simple program taking Prolog system specifications and managing the technical authors’ and engineers’ concurrent revision and editing.
منابع مشابه
Use of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
متن کاملیک سامانه توصیهگر ترکیبی با استفاده از اعتماد و خوشهبندی دوجهته بهمنظور افزایش کارایی پالایشگروهی
In the present era, the amount of information grows exponentially. So, finding the required information among the mass of information has become a major challenge. The success of e-commerce systems and online business transactions depend greatly on the effective design of products recommender mechanism. Providing high quality recommendations is important for e-commerce systems to assist users i...
متن کاملA NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM
Memory-based collaborative filtering is the most popular approach to build recommender systems. Despite its success in many applications, it still suffers from several major limitations, including data sparsity. Sparse data affect the quality of the user similarity measurement and consequently the quality of the recommender system. In this paper, we propose a novel user similarity measure based...
متن کاملA New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation
Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
متن کاملCreating semantic relations for user manuals on Semantic Web using SKOS
The aim of the paper is to create a standard model representation using SKOS for user manuals to benefit from an automatic mechanism of information and explanations representation necessary for each software applications. The SKOS (Simple Knowledge Organization Systems) is a standard for representing concept shemes for different types of KOS (Knowledge Organizations Systems). This method of kno...
متن کامل