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Multiplatform Career Guidance System Using IBM Watson, Google Home and Telegram

A User Experience and Usability Evaluation

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 10586)

Abstract

Even with the availability of several tests to provide clarity in choosing our career path, the decision remains a tough one to undertake. Most of the available tests are either monotonous, resulting in a tedious effort to go through them entirely, or are just plain boring. In this paper, however, we present a new and different approach to career guidance systems. We use Google home as a speech-based interface and Telegram as a text-based interface to generate a conversation between the users and a bot for career guidance. The idea is to provide an easy and friendly interface with an interactive user experience while gathering the required data to provide career guidance. To evaluate the system, we used the University of Costa Rica’s Computer Science and Informatics Department scenario. In this scenario, students must decide between three possible emphases: Software Engineering, Information Technologies, and Computer Science. A usability and user experience evaluation of the system was performed with the participation of 72 freshmen.

Keywords

  • Career guidance
  • IBM Watson
  • Personality traits
  • Google home
  • Conversational interface
  • Telegram

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Acknowledgment

This work was partially supported by Centro de Investigaciones en Tecnologías de la Información y Comunicación (CITIC), Escuela de Ciencias de la Computación e Informática (ECCI) both at Universidad de Costa Rica. Grants No. 834-B6-178, PID-CI-1233-2016 and 326-B6-357, and by Samtec Smart Platform Group.

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Correspondence to Daniel Calvo .

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Calvo, D., Quesada, L., López, G., Guerrero, L.A. (2017). Multiplatform Career Guidance System Using IBM Watson, Google Home and Telegram. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_67

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  • DOI: https://doi.org/10.1007/978-3-319-67585-5_67

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  • Publisher Name: Springer, Cham

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