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Generation Z Technological Frames of AI Game-Based Assessment

  • Trinh Nguyen,
  • Amany Elbanna

摘要

The use of AI systems in the selection of job applicants is growing rapidly. While scholars have debated potential benefits to employers and job seekers, there is little empirical research on its actual use. In particular, there is little empirically known about job seekers experience of using it and in particular those from generation Z who are trying to enter the job market. Considering its importance, this study questions: How job applicants perceive AI Game-based Assessment and How this impact their use pattern? Through qualitative approach and adoption of Technological Frames Theory, our findings identify three aspects of technological frames and show that the experiences of Gen Z applicants differ based on the emphasis they put on each of them. This results in different experience of stress and enjoyment. The study contributes to the AI literature and particular its use in hiring and draw practical conclusions.