The Evaluation of User Experience Testing for Retrieval-based Model and Deep Learning Conversational Agent

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.

@article{Leong2021,
  title     = {The Evaluation of User Experience Testing for Retrieval-based Model and Deep Learning Conversational Agent},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {4},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Pui Huang Leong and Ong Sing Goh and Yogan Jaya Kumar and Yet Huat Sam and Cheng Weng Fong},
  doi       = {10.14569/IJACSA.2021.0120429},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120429}
}