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Appl. Sci. 2018, 8(3), 446; https://doi.org/10.3390/app8030446

Modelling the Interaction Levels in HCI Using an Intelligent Hybrid System with Interactive Agents: A Case Study of an Interactive Museum Exhibition Module in Mexico

1
Accounting and Administration School, Autonomous University of Baja California, Tijuana 22390, Mexico
2
Chemistry and Engineering School, Autonomous University of Baja California, Tijuana 22390, Mexico
3
Complexity Science Center, National Autonomous University of Mexico, Mexico City 04510, Mexico
4
Business Information Management and Operations Department, University of Westminster, London NW1 5LS, UK
*
Authors to whom correspondence should be addressed.
Received: 11 February 2018 / Revised: 6 March 2018 / Accepted: 13 March 2018 / Published: 15 March 2018
(This article belongs to the Special Issue Multi-Agent Systems)
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Abstract

Technology has become a necessity in our everyday lives and essential for completing activities we typically take for granted; technologies can assist us by completing set tasks or achieving desired goals with optimal affect and in the most efficient way, thereby improving our interactive experiences. This paper presents research that explores the representation of user interaction levels using an intelligent hybrid system approach with agents. We evaluate interaction levels of Human-Computer Interaction (HCI) with the aim of enhancing user experiences. We consider the description of interaction levels using an intelligent hybrid system to provide a decision-making system to an agent that evaluates interaction levels when using interactive modules of a museum exhibition. The agents represent a high-level abstraction of the system, where communication takes place between the user, the exhibition and the environment. In this paper, we provide a means to measure the interaction levels and natural behaviour of users, based on museum user-exhibition interaction. We consider that, by analysing user interaction in a museum, we can help to design better ways to interact with exhibition modules according to the properties and behaviour of the users. An interaction-evaluator agent is proposed to achieve the most suitable representation of the interaction levels with the aim of improving user interactions to offer the most appropriate directions, services, content and information, thereby improving the quality of interaction experienced between the user-agent and exhibition-agent. View Full-Text
Keywords: human-machine interaction; ambient intelligence; user interaction levels; intelligent agents; intelligent hybrid systems; type-2 fuzzy inference system human-machine interaction; ambient intelligence; user interaction levels; intelligent agents; intelligent hybrid systems; type-2 fuzzy inference system
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Rosales, R.; Castañón-Puga, M.; Lara-Rosano, F.; Flores-Parra, J.M.; Evans, R.; Osuna-Millan, N.; Gaxiola-Pacheco, C. Modelling the Interaction Levels in HCI Using an Intelligent Hybrid System with Interactive Agents: A Case Study of an Interactive Museum Exhibition Module in Mexico. Appl. Sci. 2018, 8, 446.

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