A Proposed Algorithm for Ambiguity Reduction with Computational Immune System in HCSI

the advent of meteorological growth and advancement of computer technologies, things are no more as simple as it was earlier. The Human Computer Interaction (HCI) is concerned with the study, planning, design and uses of the interaction between users and the computers. Till now Artificial Immune System (AIS) is not been deployed for problem solving in HCI. This study proposes to develop a holistic approach using Artificial Immune System (AIS) to design an interactive system in Human Computer Speech Interaction (HCSI) that minimize the barrier between the human's cognitive model of what the users want to accomplish and the computer's understanding of the user's task by integrating techniques or applications to enable an individual to use the advanced technologies in more interactive manner. This paper proposes an algorithm to develop a prototype with minimal space complexities and to build an Artificial Immune System (AIS) in Human Computer Speech Interaction (HCSI) for avoiding the ambiguity occurs during the speech recognition by proposing two new algorithms i.e. String and Synonym Matching Algorithm (SSMA) and String Comparing Algorithm for Ambiguity Reduction (SCAAR) in the system thereby providing a supportive system that can meet the need of its deliberate users. General Terms