Tarashankar Rudra

ESCAP: Towards the Design of an AI Architecture for a Virtual Counselor to Tackle Students' Exam Stress

Exam stress is a common predicament faced by students of all age groups and cultures. Unfortunately, it has neither created much consternation in the society nor attracted much interest for serious research, perhaps due to its impulsive causal nature that disappears almost instantly after the exams are over. Stress in optimal level can stimulate students to achieve their personal best in their exams. However, one of the greatest threats to the well-being of students arises due to the fallout of excessive stress, which, if not addressed timely may not only lead to failure in exams, but result in serious debilitating consequences including insomnia, depression and even suicide. Our research aims to design a human computer interaction (HCI) interface using artificial intelligence (AI) techniques for modeling a virtual exam-stress counsellor ESCAP, an embodied conversational agent with facial animation, advice and intelligence of a professional psychologist to support undergraduate students in managing their exam stress.

Swimming Pool Identification from Digital Sensor Imagery Using SVM

bushfires. In January 2003 it witnessed a significant natural disaster when Canberra was struck by firestorms. The Ash Wednesday fires in Victoria resulted in 75 deaths twenty years earlier. Events like these have made environmental and emergency management research a focus in Australia. In this paper, we introduce a Support Vector Machine (SVM) technique to classify small area water bodies, swimming pools in particular. These features provide a valuable source of water for Emergency Services and play a crucial role in fighting bushfires in urban areas of Australia.

Cognitive Emotion in Speech Interactive Games

This paper falls into the category of human computer interaction. Here the focus lies in injecting emotions into the non-player characters (NPC) in reaction to the emotion of the player in computer games. The idea of injecting emotion into games has been a popular topic for discussion in the games industry today. The paper reviews the emotional side of games from both the game side and the human player side, considering speech style and content, facial expressions and gestures. The emotional content is encapsulated within an XML and an associated finite state automaton.

Emotion detection from male speech in computer games

This paper presents the experimental results of our method of classifying emotional states of neutral and anger of male voice from artificial pidgin utterances using Support vector machine (SVM). The objective of the paper is to demonstrate that a new genre of languages called Game pidgin language (GPL) that can not only be used to capture real time speech recognition, but can also generate response from the non-player-character. The emotion which is a floating point value can be used to generate the corresponding emotive response from the non-player- character (NPC).

Emotion from Game pidgin language using SVM

This paper explores the possibility of sensing emotional states of neutral or anger from pidgin utterances using Support vector machine (SVM). The objective of the paper is to show that in speech interactive computer games, a new language called Game pidgin language (GPL) can not only generate real time spoken response from the non-player-character but also capture and express emotions.

Analysis of Conversational Game Pidgin Language

In this paper we analyze a new language called game Pidgin language (GPL) for speech interactive computer games. We use two formulas namely entropy and perfect information of Information Theory to perform the analysis. We establish that GPL is an efficient language for communication in real time speech interactive systems.

Learning a Pidgin Language

This paper presents a novel idea of talking to a computer in a simple and reduced language capable of expressing and recognizing emotions. The language is applied to capture the emotion in speech of a game player and its corresponding emotive response from the non-player-character (NPC). This paper outlines the process of cognitive response from the NPC.