TY - GEN
T1 - Cognitive services to improve user experience in searching for academic information based on chatbot
AU - Mamani, Jhon Rodrigo Carrizales
AU - Alamo, Yelithza Janerth Ramirez
AU - Aguirre, Jimmy Alexander Armas
AU - Toledo, Elizabeth Eliana Grandon
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - In this paper, we propose a cognitive system to improve the user experience in searching for academic information with a chatbot. The difference between traditional search systems and the proposed cognitive system is to improve the user experience (UX) through optimization factors such as response time, ease of use, friendly interface, and user interaction through cognitive services cloud computing. This can go beyond the interaction between a chatbot and human since the user experience is very important and can define the success or failure of a system. Validation of the proposed cognitive system was made with potential users of a Peruvian educational institution through a chatbot prototype. Validation consisted of obtaining results and user opinions of the current search system of the institution and compared them with results and user opinions of the implementation of the prototype chatbot. The results showed an 89.5% reduction in the average response expected and acceptance level of 63.2% within the target population.
AB - In this paper, we propose a cognitive system to improve the user experience in searching for academic information with a chatbot. The difference between traditional search systems and the proposed cognitive system is to improve the user experience (UX) through optimization factors such as response time, ease of use, friendly interface, and user interaction through cognitive services cloud computing. This can go beyond the interaction between a chatbot and human since the user experience is very important and can define the success or failure of a system. Validation of the proposed cognitive system was made with potential users of a Peruvian educational institution through a chatbot prototype. Validation consisted of obtaining results and user opinions of the current search system of the institution and compared them with results and user opinions of the implementation of the prototype chatbot. The results showed an 89.5% reduction in the average response expected and acceptance level of 63.2% within the target population.
KW - Chatbot
KW - Cognitive
KW - Cognitive services
KW - Human-computer interaction
KW - Technology
KW - User experience
UR - https://www.scopus.com/pages/publications/85073505763
U2 - 10.1109/INTERCON.2019.8853572
DO - 10.1109/INTERCON.2019.8853572
M3 - Contribución a la conferencia
AN - SCOPUS:85073505763
T3 - Proceedings of the 2019 IEEE 26th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019
BT - Proceedings of the 2019 IEEE 26th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2019
Y2 - 12 August 2019 through 14 August 2019
ER -