Computer Support for Collaborative Dramatic Art

نویسنده

  • Michael Young
چکیده

There is little question that current role-playing MUD systems provide entertainment for their users. Nevertheless, experience with these systems, however entertaining, often falls short of the compelling, rich and varied experiences we associate with dramatic art. This limitation is in part due to the nature of control in MUDs. Control within a MUD is, by de nition, distributed; unlike conventional dramatic media (e.g., the novel, the stage play), MUDs eliminate the boundary between artist and audience, empowering the participants with complete creative control and making them share responsibility for the creation of their own experiences. While distributed control is a compelling strength of the MUD experience, it is also a principal limitation. In current systems, each player relies on the activities of a collection of participants to de ne her MUD experience. These participants are of varied skill, commitment and ability. Consequently, their contribution to the overall structure of a MUD is equally varied. In addition, MUD participants lack the global awareness of the unfolding dramatic context needed to ensure that their actions are consistent with subtle or complicated plot lines or plot lines whose current activities are distributed geographically about the MUD world. And they lack the global coordination and planning abilities required to construct aspects of dramatic structure that stretch over time (e.g., measured rise in con ict, sustained balance between antagonists,

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A 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 کامل

A 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 کامل

Dynamic configuration and collaborative scheduling in supply chains based on scalable multi-agent architecture

Due to diversified and frequently changing demands from customers, technological advances and global competition, manufacturers rely on collaboration with their business partners to share costs, risks and expertise. How to take advantage of advancement of technologies to effectively support operations and create competitive advantage is critical for manufacturers to survive. To respond to these...

متن کامل

A New WordNet Enriched Content-Collaborative Recommender System

The recommender systems are models that are to predict the potential interests of users among a number of items. These systems are widespread and they have many applications in real-world. These systems are generally based on one of two structural types: collaborative filtering and content filtering. There are some systems which are based on both of them. These systems are named hybrid recommen...

متن کامل

A Reference Architecture for Automation of Inter-Organizational Process-Oriented Collaboration

In today’s competitive, dynamic, and changing business environment, being able to collaborate globally within and beyond the enterprise borders is critical. Inter-Organizational Collaborations (IOCs) have been proposed as a response to the characteristics of highly competitive global business environments. So far, a number of reference models, frameworks, and ad hoc architectures related to som...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999