Using Common Sense to Recognize Cultural Differences

Lecture Notes in Computer Science

Godói

Carvalho

et al. 2007

Self Cite

Abstract. We present a prototype of an on-line assistant to support a training course about workspace safety issues. The application uses a common sense reasoning engine and the Brazilian Open Mind common sense knowledge base, to make inferences about concepts that might be unfamiliar to the students. We explore the use of metaphors and analogies to explain topics, enhancing learning by using similarities to help students associate related topics. We believe that common sense can be used to take into account cultural considerations while helping learners to build analogies. A survey of students showed that they considered analogies useful in the learning process, that the system was helpful in understanding new concepts, and that it helped connect the information searched for with common sense knowledge.

Section: Finding Metaphors and Analogies In Open Mind Common Sense Knmentioning

confidence: 99%

Section: Finding Metaphors and Analogies In Open Mind Common Sense Knmentioning

confidence: 99%

See 1 more Smart Citation

A Common Sense-Based On-Line Assistant for Training Employees

Lecture Notes in Computer Science

Godói

Carvalho

et al. 2007

Self Cite

“…A research developed at LIA has pointed to the fact that OMCS-Br knowledge bases store cultural differences as it is presented in [1] and in [2]. As future work, it is intended to invest in the development of applications with intelligent interfaces.…”

Section: Discussionmentioning

confidence: 99%

“…They are domains of interest to the researches that are under development in the research group which keeps the project [5] [4] [2]. This approach is only used in Brazil and it was adopted taking into account the necessity of making faster the collection of common sense knowledge related to those domains.…”

Section: The Omcs-br Project Accomplishmentsmentioning

confidence: 99%

Machines with good sense: How can computers become capable of sensible reasoning?

Artificial Intelligence in Theory and Practice II

Carvalho

Pereira

et al.

Good sense can be defined as the quality which someone has to make sensible decisions about what to do in specific situations. It can also be defined as good judgment. However, in order to have good sense, people have to use common sense knowledge. This is not different to computers. Nowadays, computers are still not able to make sensible decisions and one of the reasons is the fact that they lack common sense. This paper focuses on OMCS-Br, a collaborative project that makes use of web technologies in order to get common sense knowledge from a general public and so use it in computer applications. Here it is presented how people can contribute to give computers the knowledge they need to be able to perform common sense reasoning and, therefore, to make good sense decisions. In this manner, it is hoped that software with more usability can be developed.

Can Common Sense uncover cultural differences in computer applications?

IFIP International Federation for Information Processing

Lieberman

Tsutsumi

et al.

Self Cite

Abstract. Cultural differences play a very important role in matching computer interfaces to the expectations of users from different national and cultural backgrounds. But to date, there has been little systematic research as to the extent of such differences, and how to produce software that automatically takes into account these differences. We are studying these issues using a unique resource: Common Sense knowledge bases in different languages. Our research points out that this kind of knowledge can help computer systems to consider cultural differences. We describe our experiences with knowledge bases containing thousands of sentences describing people and everyday activities, collected from volunteer Web contributors in three different cultures: Brazil, Mexico and the USA, and software which automatically searches for cultural differences amongst the three cultures, alerting the user to potential differences.