4 research outputs found
Trends and challenges of e-government chatbots: Advances in exploring open government data and citizen participation content
This work was supported by the Spanish Ministry of Science and
Innovation (PID2019-108965GB-I00) and the Regional Government of
Andalusia (P20_00314 and B-SEJ-556-UGR20). The authors thank all
people who participated in the reported studies.In this paper, we propose a conceptual framework composed of a number of e-government, implementation and evaluation-oriented variables, with which we jointly analyze chatbots presented in the research literature and chatbots deployed as public services in Spain at national, regional and local levels. As a result of our holistic analysis, we identify and discuss current trends and challenges in the development and evaluation of chatbots in the public administration sector, such as focusing the use of the conversational agents on the search for government information, documents and services –leaving citizen consultation and collaboration aside–, and conducting preliminary evaluations of prototypes in limited studies, lacking experiments on deployed systems, with metrics beyond effectiveness and usability –e.g., metrics related to the generation of public values. Addressing some of the identified challenges, we build and evaluate two novel chatbots that present advances in the access to open government data and citizen participation content. Moreover, we come up with additional, potential research lines that may be considered in the future for a new generation of e-government chatbots.Spanish Ministry of Science and
Innovation (PID2019-108965GB-I00)Regional Government of
Andalusia (P20_00314 and B-SEJ-556-UGR20
Agentes Virtuales Cognitivos en el proceso del aprendizaje en el Perú: Escenario al 2032
La presente Investigación aborda la importancia de la creación de escenarios futuros de los
Agentes Virtuales Cognitivos en el proceso del aprendizaje, a través del uso la prospectiva
en los planes de gestión de la innovación en el marco del uso de las aplicaciones de la
computación cognitiva, que permitan relacionar la información, tecnologÃa, personas y la
ciencia cognitiva.
Actualmente se sobreestima el uso de las nuevas tecnologÃas, no se pueden cuantificar los
beneficios a largo plazo como las verdaderas necesidades, ni el contexto en que se pueden
desenvolver; como la relación de las personas y las máquinas. El potencial que se puede
aprovechar o desaprovechar al generar nuevo conocimiento que puede beneficiar a los
diferentes actores involucrados en el proceso del proceso del aprendizaje, estimando
esfuerzo y valiosos recursos que pueden ser aprovechados. Este trabajo se desarrolla bajo
el marco de la disciplina prospectiva, usando la construcción de escenarios, tomando como
referencia las metodologÃas en la investigación del futuro como el análisis de drivers,
paneles de expertos, análisis estructural, construcción de escenarios. Los resultados
obtenidos mostrarán los escenarios posibles que servirán en un futuro, como base en la
definición de un plan estratégico en la gestión de la innovación entre los agentes cognitivos
y el proceso de aprendizaje permitiendo la inclusión de las tecnologÃas de la Inteligencia
artificial en general, en el campo de la cognición. Mejorando el entendimiento y la
transferencia de un conocimiento claro y preciso adoptando estos proyectos basados en
tecnologÃas con un carácter disruptivo, donde la única premisa es la adaptabilidad al
cambio. Siendo los únicos beneficiados la sociedad en general en todos los sectores no
sólo los que trabajan en una entidad estatal, sino todos los peruanos que accedamos a un
servicio bajo estas tecnologÃas de la ciencia cognitiva.This Research addresses the importance of the creation of future scenarios of Cognitive
Virtual Agents in the learning process, through the use of prospective in innovation
management plans within the framework of the use of cognitive computing applications, that
allow relating information, technology, people and cognitive science.
Currently the use of new technologies is overestimated, the long-term benefits cannot be
quantified as the true needs, nor the context in which they can be developed; like the
relationship of people and machines. The potential that can be exploited or wasted when
generating new knowledge that can benefit the different actors involved in the learning
process, estimating effort and valuable resources that can be used. This work is developed
under the framework of the prospective discipline, using the construction of scenarios, taking
as a reference the methodologies in future research such as the analysis of drivers, panels
of experts, structural analysis, construction of scenarios. The results obtained will show the
possible scenarios that will serve in the future, as a basis for defining a strategic plan in the
management of innovation between cognitive agents and the learning process, allowing the
inclusion of artificial intelligence technologies in general, in the field of cognition. Improving
the understanding and transfer of clear and precise knowledge by adopting these projects
based on technologies with a disruptive nature, where the only premise is adaptability to
change. The only beneficiaries being society in general in all sectors, not only those who
work in a state entity, but all Peruvians who access a service under these cognitive science
technologies