University of Twente Student Theses


Job selection with a chatbot? : Ethnographic study into chatbots requirements

Piccolo, Martina (2021) Job selection with a chatbot? : Ethnographic study into chatbots requirements.

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Abstract:In the last years, the way companies attract, recruit and select talent has undergone profound changes. Companies are increasingly adopting artificial intelligence (AI) to be able to recruit and select talent. Among AI solutions, chatbots are proving very useful for both HR professionals and candidates. This study aims to identify what are the requirements that chatbots must have to be effectively implemented in the company selection process. By identifying the requirements, it is possible to design more efficient chatbots that can be implemented in the selection process. This study uses an ethnographic approach to identify chatbots requirements. Thanks to a comparative ethnographic analysis, it was possible to analyze four different types of chatbots that have been personally tested by the author. The results suggest that chatbots must possess technical and social requirements to be efficiently implemented along the recruitment and selection process. On one hand, technical requirements are indispensable to create the chatbots, such as machine learning and data mining techniques, response generation, text processing, object-oriented architecture, and knowledge domain. On the other hand, social requirements are essential to obtain an effective and efficient implementation of chatbots along the recruitment and selection process, i.e. visual look, speech synthesis unit, conversational abilities and context sensitiveness, personality traits, and personalization options.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:Business Administration MSc (60644)
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