User interface design: A study of expectation- confirmation theory

In a century of high technology and in a cyber world, the website is recognized as a super fast medium of information transfer, sharing and data harmonization.Users around the world look for information in various kinds of websites and online sources.These multicultural users have different experiences and expectations regarding the structure of a website and how to use it. However, there are limited guidelines for the development of websites for multicultural users. In particular, there is a lack of specific standards for user-centric websites that should be taken into account during the development of a website.Such guidelines would be useful in giving designers an overview of how to develop websites that will satisfy the expectations of users around the world.The present study explored ASEAN users’ expectations of an informational website based on expectation-confirmation theory (ECT), which is adapted from the consumer behavior literature. Eight constructs, namely, expectation, perceived usefulness, perceived ease of use, perceived performance, satisfaction, interface quality, confirmation and continuance intention were used to measure a user-centric Web-based interface. The results of the study demonstrate satisfactory reliable and valid scales of the model constructs

A Scenario Analysis of Wearable Interface Technology Foresight

Although the importance and value of wearable interface have gradually being realized, wearable interface related technologies and the priority of adopting these technologies have so far not been clearly recognized. To fill this gap, this paper focuses on the technology planning strategy of organizations that have an interest in developing or adopting wearable interface related technologies. Based on the scenario analysis approach, a technology planning strategy is proposed. In this analysis, thirty wearable interface technologies are classified into six categories, and the importance and risk factors of these categories are then evaluated under two possible scenarios. The main research findings include the discovery that most brain based wearable interface technologies are rated high to medium importance and high risk in all scenarios, and that scenario changes will have less impact on voice based as well as gesture based wearable interface technologies. These results provide a reference for organizations and vendors interested in adopting or developing wearable interface technologies

Using an eye tracker to optimise career websites as a communication channel with Generation Y

SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments

Exploiting visual saliency for assessing the impact of car commercials upon viewers

Content based video indexing and retrieval (CBVIR) is a lively area of research which focuses on automating the indexing, retrieval and management of videos. This area has a wide spectrum of promising applications where assessing the impact of audiovisual productions emerges as a particularly interesting and motivating one. In this paper we present a computational model capable to predict the impact (i.e. positive or negative) upon viewers of car advertisements videos by using a set of visual saliency descriptors. Visual saliency provides information about parts of the image perceived as most important, which are instinctively targeted by humans when looking at a picture or watching a video. For this reason we propose to exploit visual information, introducing it as a new feature which reflects high-level semantics objectively, to improve the video impact categorization results. The suggested salience descriptors are inspired by the mechanisms that underlie the attentional abilities of the human visual system and organized into seven distinct families according to different measurements over the identified salient areas in the video frames, namely population, size, location, geometry, orientation, movement and photographic composition. Proposed approach starts by computing saliency maps for all the video frames, where two different visual saliency detection frameworks have been considered and evaluated: the popular graph based visual saliency (GBVS) algorithm, and a state-of-the-art DNN-based approach.This work has been partially supported by the National Grants RTC-2016-5305-7 and TEC2014-53390-P of the Spanish Ministry of Economy and Competitiveness.Publicad

Webometrics benefitting from web mining? An investigation of methods and applications of two research fields

Webometrics and web mining are two fields where research is focused on quantitative analyses of the web. This literature review outlines definitions of the fields, and then focuses on their methods and applications. It also discusses the potential of closer contact and collaboration between them. A key difference between the fields is that webometrics has focused on exploratory studies, whereas web mining has been dominated by studies focusing on development of methods and algorithms. Differences in type of data can also be seen, with webometrics more focused on analyses of the structure of the web and web mining more focused on web content and usage, even though both fields have been embracing the possibilities of user generated content. It is concluded that research problems where big data is needed can benefit from collaboration between webometricians, with their tradition of exploratory studies, and web miners, with their tradition of developing methods and algorithms

The Beginner’s Guide to Web Analytics

The Beginner’s Guide to Understanding Web Analytics is a best practices manual for beginner to intermediate level marketers. Whether the marketing professional is working in the corporate world or for a non-profit organization, the guide will walk them through the basics of what web analytics means, define terms and provide context for the metrics used in measuring web data. Divided into four main sections, Define, Utilize, Measure and Strategize, this guide helps to explain not only what each metric means but how it can best be used to further the goals and objectives for the user’s business or organization.Master of Arts in Digital Communicatio

Neuromarketing empirical approaches and food choice: A systematic review

Consumers' food choices are often driven by reasons of which consumers are not fully aware. Decision-making about food is influenced by a complex set of emotions, feelings, attitudes, and values that are impossible to assess simply by asking consumers their opinions. Indeed, traditional techniques, such as self-reports or interviews, mainly allow the measurement of conscious and rational reactions to a product or advertising. Recently, there has been a rapidly growing interest in the multidisciplinary field of “neuromarketing,” which takes advantage of neuroscientific techniques to study consumer behavior. This discipline applies neuroscientific methods and tools that allow the measurement of consumers' emotional and spontaneous reactions in a more objective and observable way. The aim of this paper is (a) to describe neuromarketing's underlying assumptions, techniques, and the advantages of this perspective, examining the scientific literature on the use of neuromarketing in food studies; and (b) to suggest best practices to apply this novel approach in the food marketing domain, with a specific focus on non-invasive methods. Finally, although the perception of nutritional elements has already been explored, the health content of labels, the presence of additives, and the evaluation of the information conveyed by food packaging remain other possible elements of interest in future food neuromarketing research

Análisis comparativo de la interfaz Nexus a través de técnicas de seguimiento ocular, escala de usabilidad del sistema (ESU) y cuestionario de usabilidad de sistemas informáticos (CSUQ).

Esta evaluación se hizo con el fin de mejorar los tipos de interfaces que son utilizadas en el ámbito educativo, ya sea en línea o semi-presencial, y revisar que dichas interfaces cumplieran con su objetivo principal, el cual es, que sean un medio de accesibilidad para adquirir un nuevo conocimiento y esto solo se puede lograr cuando la interfaz cuenta con usabilidad. Este proyecto se dividió en 3 fases, la primera fue la estandarización al idioma español de los cuestionarios EUS y CSUQ, la segunda fue la aplicación de dichos cuestionarios con la muestra de participantes que se tomarían para el estudio y la tercer fase consistió en utilizar el seguidor ocular para evaluar la plataforma NEXUS con la misma muestra de participantes de la fase anterior, donde se le asignó al usuario una tarea a realizar y aquí se analizó todos los pasos que utilizó para poder completar la tarea. Los resultados mostraron que ambas técnicas, tanto cuestionarios como seguimiento ocular, ayudan a evaluar la usabilidad de una interfaz, que ambos por sí solos muestran resultados confiables. Se concluye que es mejor utilizar el seguidor ocular en conjunto con los cuestionarios para evaluar la usabilidad de una interfaz de una mejor manera y, en un futuro, se espera también realizar test retrospectivo para obtener más datos y realizar mejores evaluaciones de usabilidad