1 research outputs found
Exploring Emerging Technologies for Requirements Elicitation Interview Training: Empirical Assessment of Robotic and Virtual Tutors
Requirements elicitation interviews are a widely adopted technique, where the
interview success heavily depends on the interviewer's preparedness and
communication skills. Students can enhance these skills through practice
interviews. However, organizing practice interviews for many students presents
scalability challenges, given the time and effort required to involve
stakeholders in each session. To address this, we propose REIT, an extensible
architecture for Requirements Elicitation Interview Training system based on
emerging educational technologies. REIT has components to support both the
interview phase, wherein students act as interviewers while the system assumes
the role of an interviewee, and the feedback phase, during which the system
assesses students' performance and offers contextual and behavioral feedback to
enhance their interviewing skills. We demonstrate the applicability of REIT
through two implementations: RoREIT with a physical robotic agent and VoREIT
with a virtual voice-only agent. We empirically evaluated both instances with a
group of graduate students. The participants appreciated both systems. They
demonstrated higher learning gain when trained with RoREIT, but they found
VoREIT more engaging and easier to use. These findings indicate that each
system has distinct benefits and drawbacks, suggesting that REIT can be
realized for various educational settings based on preferences and available
resources.Comment: Author submitted manuscrip