Abstract

The use of a conversational agent to relay information on behalf of individuals has gained worldwide acceptance. The conversational agent in this study was developed using Retrieval-based Model and Deep Learning to enhance the user experience. Nevertheless, the successfulness of the conversational agent could only be determined upon the evaluation. Thus, the testing was performed in the quantitative approach via questionnaire survey to capture user experience upon the usage of the conversational agent in terms of Usability, Usefulness and Satisfaction. The questionnaire survey was tested via statistical tool for reliability and validation test and proven to be carried out. The test results indicate positive experience towards the usage of the conversational agent and the outcome of the testing showed promising results and proof the success of this study, with immense contributions to the field of conversational agent.

Highlights

  • User experience may be unique to the extent that it affects human interpretation and feeling regarding a service or program

  • User experience testing was a process in which the interface and the chatbot features were verified by end users who execute specific tasks under practical environments

  • The findings from the positive-type-question managed to achieve the total average score of 4.74 over 5 against the widely accepted score-5 in Likert-scale, which suggested that users have good experience of using the conversational agent

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Summary

INTRODUCTION

User experience may be unique to the extent that it affects human interpretation and feeling regarding a service or program. User Experience testing was conducted to capture user experience upon interacting with the conversation agent. By the end of the testing, questionnaire survey was handed out to obtain the feedback and satisfaction towards the usage of the conversational agent. User experience testing was a process in which the interface and the chatbot features were verified by end users who execute specific tasks under practical environments. This test aimed to assess the user experience in terms of Usability, Usefulness and Satisfaction of the conversational agent and to ascertain if the application was functional.

USER EXPERIENCE TESTING
Satisfaction Measure
RESEARCH INSTRUMENTS QUESTIONNAIRES
VALIDATION OF RESEARCH INSTRUMENTS
SAMPLE SIZE POPULATION
TESTING AND ANALYSIS
CONCLUSION

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