Off-the-shelf Artificial Intelligence and Qualitative Research - integrating IBM Alchemy Language in HCI research methodology
Hyun Jeong Lee, Joongseek Lee · International Conference on Human-Computer Interaction · 2017
The recent attempts to automate user behavior analysis well depicts the practical necessity of speedy, on the spot, qualitative analysis methods. Moreover, NLP-powered text-mining software, open for general use, are increasing. Therefore, this paper aims to enhance the efficiency of qualitative analysis, through the use of off-the-shelf artificial intelligence software. We propose a new qualitative research methodology integrating IBM Alchemy Language, and moreover, share the practical guidelines obtained from 2 application case studies. Moreover, by conducting a user study, we tested the feasibility of the methodology. Further on, we trigger discussion and hopes to contribute in vital discussion upon future human-machine collaboration research methods.