Authors:
Genildo Gomes
;
Isabelle Rêgo
;
Moises Gomes
;
Júlia Conceição
;
Artur Andrade
;
Tayana Conte
;
Thaís Castro
and
Bruno Gadelha
Affiliation:
Institute of Computing, Federal University of Amazonas, Manaus, AM, Brazil
Keyword(s):
Recommendation Systems, Interaction Technology, Events Planning.
Abstract:
The use of technologies to promote interaction and engagement at events is part of modern entertainment. In the different types of events, there are different technologies to increase this interaction. In scientific events, for example, organizers use voting platforms with the public; in music festivals, LED bracelets and the flash light of the smartphone are used; while in cultural and sports events, there are digital cheer leading thermometers. Considering the search by experts in the field of events and entertainment for new technologies, in this study, a recommendation system is proposed that relates different classification aspects of events in order to suggest a list of appropriate technologies for that event, based on knowledge bases built by the experience of experts. The proposed solution was evaluated through acceptance studies using the technology acceptance model (TAM), and interviews with six experts with experience in the area of production and organization of various e
vents. Results indicate that users intend to use the platform to assist in the definition of technologies due to its innovative factor, among other information discussed in this paper.
(More)