Mondheera Pituxcoosuvarn

Ritsumeikan University · College of Information Science and Engineering

Resolving cultural differences is an important factor in ensuring successful communication. Today's technologies, such as machine translation (MT), enable communication and collaboration among speakers of multiple languages, but the barrier of cultural difference remains, and depending on the country of origin of each party, a word with a positive...

When soccer coaches provide tactical knowledge to players, they use soccer tactic boards and films. However, players often struggle to understand the instructions because the players require spatial cognition skills to convert information from a bird’s-eye view or third-person view to a first-person view. Therefore, we have created a system that ca...

Machine translation (MT) has become useful in intercultural collaboration. However, for low-resource language (LRL) speakers, the translation accuracy possible might still be a burden to them. Previous studies showed that it is difficult for the minority and LRL speakers to participate in conversions. To solve this problem and create equal chance f...

In recent years, with the improvement of machine translation, conversations across languages have become easier. However, misunderstandings due to cultural differences still exist. In order to detect such cultural differences, a method based on the similarity of feature vectors of images, was proposed. However, there was no available reference with...

Previously, the Cultural Difference Detection (CDD) concept had been introduced to predict possible misunderstandings when machine translation (MT) users communicate across cultures. CDD compared images that linked to a concept in two languages with the assumption that the low similarity of images can indicate cultural misunderstanding. Its result...

In an intercultural children collaboration using machine translation, the children of low-resource languages have difficulties in participating and engaging in conversations due to inaccuracy of machine translation for the low-resource languages. In order to facilitate and motivate speech for these children, we have focused on the facilitator’s utt...

Brainstorming is a well-known technique for fostering student creativity. Due to the COVID-19 pandemic, brainstorming sessions were recently held online, using web-based tools and video calls. Virtual Reality (VR) can also be an alternative for brainstorming sessions. However, there is currently limited research on brainstorming sessions using VR,...

Online courses have become increasingly common in recent years. Many people have also begun to exercise and learn new activities, including dancing, at home by watching online videos and lessons, particularly during the COVID-19 epidemic. Classical ballet is one of those physical activities that conventionally requires visits to a studio, not only...

The Cultural Difference Detection(CDD) concept was introduced to enhance machine translation(MT) utility by predicting possible misunderstanding. CDD compares images linked to a concept in two languages with the assumption that low image similarity may indicate possible cultural misunderstanding. This paper extends CDD by proposing a method to calc...

Thanks to today’s technologies, the world’s borders have been fading away and intercultural collaboration has become easier and easier. Language and cultural differences are common problems in inter-cultural collaboration. Machine translation (MT) is now available to overcome the language barrier, so people can easily express and understand message...

These days, the improved accuracy of machine translation system enable us conduct intercultural collaboration. Even though machine translation could translate words correctly, we sometimes face trouble in our communications because we think about different images for the same word due to our different backgrounds and culture. To make the machine tr...

There are technologies that support intercultural collaboration by allowing people to communicate more easily across the barriers of culture and language. However, sometimes user-sensitive information needs to be accessed. In best-balanced machine translation, a method that recommends the languages and machine translation services that should be us...

In machine translation (MT) mediated human-to-human communication, it is not an easy task to select the languages and translation services to be used as the users have various language backgrounds and skills. Our previous work introduced the best-balanced machine translation mechanism (BBMT) to automatically select the languages and translation ser...

In intercultural collaboration, the lack of a common ground, typically evidenced by language differences, can result in misunderstandings. Many times, team members do not realize that a misunderstanding exists during the collaboration. One solution is to identifying the words that have a high probability of causing misunderstanding. However, it is...

It is known that creative ideas are often generated by correspondents from different cultures, but it remains true that distance still matters due to the language barrier. To enhance multilingual communication, this paper proposes the model of best-balanced machine translation. Our model is based on the quality of messages among participants (assum...

Previous studies have investigated the characteristics of machine translation(MT)-mediated communication in lab settings and suggested various ways to improve it [1]. Unfortunately, we still lack an understanding of how MT is used in real-world settings, particularly when people use it to support face-to-face communication. In this paper, we report...

In multilingual collaboration, a paucity of shared language and gaps in the language backgrounds of group members could bring about imbalanced participation, which is likely to hinder problem solving, idea generation and collaborative learning. This paper proposes a model of best balanced communication based on the Quality of Messages among partici...