Cognitive technology model to enhanced academic support services with chatbots

Marilyn Choque-Diaz, Jimmy Armas-Aguirre, Pedro Shiguihara-Juarez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this paper, we propose a cognitive technology model to enhance academic support services with chatbots. The difference between the conventional models and the model proposed in this paper lies in adding Customer Experience patterns to the chatbot. This could substantially improve the interaction between the chatbot and the student in the institution. Our proposed model also emphasizes the use of best practices for real-time data processing. The model consists of five phases: 1. Capture; 2. Understanding Natural Language; 3. Dialog management; 4. Generated responses; 5. Consumption. We evaluate our cognitive technology model with undergraduate students at Universidad Peruana de Ciencias Aplicadas. The preliminary results showed a reduction of more than 99.9% in the average response time expected per query and an acceptance level of 80% within the target population.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538654903
DOIs
StatePublished - 6 Nov 2018
Externally publishedYes
Event25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 - Lima, Peru
Duration: 8 Aug 201810 Aug 2018

Publication series

NameProceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018

Conference

Conference25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
Country/TerritoryPeru
CityLima
Period8/08/1810/08/18

Keywords

  • academic support services
  • artificial intelligence
  • chatbots
  • Cognitive
  • customer experience
  • human-computer interaction
  • technology

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