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4 Papers

REPRESENTATION OF E-COMMERCE INTERACTIONS BY MEANS OF A GAME THEORY MODEL - Adoption of the Trust

Topics: e-Business and e-Commerce; Web Information Filtering and Retrieval; Web 2.0 and Social Networking Controls; Computational Intelligence on the Web

Authors: Cosimo Birtolo , Giuseppina Russo and Davide Ronca

Affiliation: Poste Italiane S.p.A., Italy

Digital Object Identifier: 10.5220/0003962605770582

Proceedings of WEBIST 2012, ISBN: 978-989-8565-08-2

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In this paper, we investigated the application of trust in an e-Commerce system. In a B2C scenario of an e-Commerce system, a game model is proposed in order to investigate the best strategies for merchants and customers. Preliminary investigation outlines the benefits of trust information in the proposed game and preliminary results, conducted on a transactional database, shows an increased value of sensitivity of provided recommendations to the customers, entailing an higher customer loyalty. Future works are aimed at validating this findings by means of a larger real dataset.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
e-Business and e-Commerce

Society, e-Business and e-Government

Web 2.0 and Social Networking Controls

Enterprise Information Systems

Software Agents and Internet Computing

Web Information Systems and Technologies

A TOOL FOR AUTOMATIC ADAPTATION OF WEB PAGES TO DIFFERENT SCREEN SIZE

Topics: Industrial Applications of Artificial Intelligence; Intelligent User Interfaces; HCI on Enterprise Information Systems; Internet HCI: Web Interfaces and Usability

Authors: Roberto Armenise 1 , Cosimo Birtolo 1 and Luigi Troiano 2

Affiliations: 1 Poste Italiane S.p.A., Italy , 2 University of Sannio, Italy

Digital Object Identifier: 10.5220/0002976300910098

Proceedings of ICEIS 2010, ISBN: 978-989-8425-08-9

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Digital contents are often designed having desktop applications as target in mind. As MobileWeb is becoming a common means to access internet services, there is a need for adapting content to smaller displays of mobile devices. Adaptation of web pages should be in accordance with aesthetics and usability requirements. In this paper we propose a tool, based on genetic algorithm, able to assist designers in delivering content adapted to mobile devices. In particular the tool, starting from a given page, searches for alternative layouts in order to best fit the content to reduced target screen size. The result is a set of adapted web pages. Experimental results show this approach is feasible and can compete with design made by humans.
Collapse Button Related Ontology Subjects/Areas/Topics (8)
Artificial Intelligence

HCI on Enterprise Information Systems

Intelligent User Interfaces

Artificial Intelligence and Decision Support Systems

Human-Computer Interaction

Internet HCI: Web Interfaces and Usability
Enterprise Information Systems

Industrial Applications of Artificial Intelligence

SUPPORTING MENU LAYOUT DESIGN BY GENETIC PROGRAMMING

Topics: Evolutionary Programming; Functional and Non-Functional Requirements

Authors: Cosimo Birtolo 1 , Roberto Armenise 1 and Luigi Troiano 2

Affiliations: 1 Poste Italiane S.p.A., Italy , 2 University of Sannio, Italy

Digital Object Identifier: 10.5220/0003022402480251

Proceedings of ICEIS 2010, ISBN: 978-989-8425-08-9

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Graphical User Interfaces heavily rely on menus to access application functionalities. Therefore designing properly menus poses relevant usability issues to face. Indeed, trading off between semantic preferences and usability makes this task not so easy to be performed. Meta-heuristics represent a promising approach in assisting designers to specify menu layouts. In this paper, we propose a preliminary experience in adopting Genetic Programming as a natural means for evolving a menu hierarchy towards optimal structure.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Artificial Intelligence and Decision Support Systems

Evolutionary Programming

Human-Computer Interaction
Enterprise Information Systems

Functional and Non-Functional Requirements

WEB FORM PAGE IN MOBILE DEVICES - Optimization of Layout with a Simple Genetic Algorithm

Topics: Intelligent User Interfaces; Internet HCI: Web Interfaces and Usability; Design Methodology and Cognitive Factors in Design

Authors: Luigi Troiano 1 , Cosimo Birtolo 2 , Roberto Armenise 2 and Gennaro Cirillo 2

Affiliations: 1 University of Sannio, Italy , 2 Poste Italiane S.p.A., Tecnologie dell’Informazione, Italy

Digital Object Identifier: 10.5220/0002007001180123

Proceedings of ICEIS 2009, ISBN: 978-989-8111-88-3

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Filling out a form on mobile devices is generally harder than on other terminals, due to the reduced keyboard and display size, entailing a higher fatigue and limiting the user experience. A solution to this problem can be based on reducing the input effort required to the user by auto-completion, and re-organizing the fields in order to provide first those with a higher prediction power. In this paper we assume to be able to predict the user input and we optimize the fields layout aiming at reducing on average the input actions.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Artificial Intelligence

Enterprise Information Systems

Intelligent User Interfaces

Design Methodology and Cognitive Factors in Design

Human-Computer Interaction

Internet HCI: Web Interfaces and Usability

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