scholarly journals Application of the Communicability Evaluation Method to evaluate the design of a user interface: A case study in an ATM system

2018 ◽  
Vol 19 (2) ◽  
pp. 46-58 ◽  
Author(s):  
Arturo Moquillaza ◽  
Freddy Paz ◽  
Fiorella Falconi ◽  
Raysa López

The Communicability Evaluation Method (CEM) is a technique proposed by Semiotic Engineering that measures the degree to which adequate communication is achieved between designers and users is achieved through the user interface. The case studies found in the literature focus on desktop applications or web applications. In this study, we present the results of a Communicability Evaluation on an ATM System in the Self-Service domain. The experimental case was executed by specialists in Human-Computer Interaction (HCI) at the request from BBVA Continental to define which of two user interface proposals would be better received by its customers, as well as being less intrusive to the current retirement experience. The operation was called "Retiro Seguro" and consisted in offering a micro-insurance during the navigation of a withdrawal. Current customers were asked to perform some tasks on both proposed interfaces in a realistic environment. We concluded that the second proposed interface was better at achieving design objectives and we proposed implementing an intermediate solution.

Author(s):  
Francisco António Barreto Fernandes ◽  
Bernabé Hernandis Ortuño

The increasing advance of the new technologies applied in the retail market, make it common to sell products without the personal contact between seller and buyer, being the registration and payment of the products made in electronic equipment of self-checkout. The large-scale use of these devices forces the consumer to participate in the service process, which was previously done through interaction with the company's employees. The user of the self-checkout system thus performs all the steps of the purchase, from weighing the products, registering them and making the payment. This is seen as a partial employee, whose participation or performance in providing services can be used by the company to improve the quality of its operations (KELLEY, et al 1993). However this participation does not always satisfy the user, and may cause negative experiences related to usability failures. This article presents the results of the evaluation by the users of the self-checkout system. The data were collected in Portugal through a questionnaire to 400 users. The study analyzes the degree of satisfaction regarding the quality and usability of the system, the degree of motivation for its adoption, as well as the profile of the users. Analysis of the sample data reveals that users have basic or higher education and use new technologies very often. They also have a high domain of the system and an easy learning of its use. The reason for using self-checkout instead of the traditional checkout is mainly due to "queues at checkout with operator" and "at the small volume of products". In general, the sample reveals a high degree of satisfaction with the service and with quality, however, in comparative terms, self-checkout is not considered better than operator checkout. The evaluation of the interaction with the self-checkout was classified according to twenty-six attributes of the system. The analysis identifies five groups with similar characteristics, of which two have low scores. "Cancellation of registered articles", "search for articles without a bar code", "manual registration", "bagging area", "error messages", "weight sensor" and “invoice request "are seven critical attributes of the system. The results indicate that the usability analysis oriented to the self-checkout service can be determinant for the user-system interaction. The implications of empirical findings are discussed together with guidelines for future research.Keywords: Interaction Design, Self service, Self-checkout, User evaluation, UsabilityReferencias ABRAHÃO, J., et al (2013). Ergonomia e Usabilidade. 1ª Edição. São Paulo: Blucher. ALEXANDRE, J. W. C., et al (2013). Análise do número de categorias da escala de Likert aplicada à gestão pela qualidade total através da teoria da resposta ao item. In: XXIII Encontro Nacional de Engenharia de Produção, Ouro Preto. BOOTH, P. (2014). An Introduction to Human-Computer Interaction (Psychology Revivals). London Taylor and Francis. CASTRO, D., ATKINSON, R., EZELL, J., (2010). Embracing the Self-Service Economy, Information Technology and Innovation Foundation. Available at SSRN: http://dx.doi.org/10.2139/ssrn.1590982 CHANG, L.A. (1994). A psychometric evaluation of 4-point and 6-point Likert-type scale in relation to reliability and validity. Applied Psychological Measurement. v. 18, n. 2, p. 05-15. DABHOLKAR, P. A. (1996). Consumer Evaluations of New Technology-based Self-service Options: An Investigation of Alternative Models of Service Quality. International Journal of Research in Marketing, Vol. 13, pp. 29-51. DABHOLKAR, P. A., BAGOZZI, R. P. (2002). An Attitudinal Model of Technology-based Selfservice: Moderating Effects of Consumer Traits and Situational Factors. Journal of the Academy of Marketing Science, Vol. 30 (3), pp. 184-201. DABHOLKAR, P. A., BOBBITT, L. M. & LEE, E. (2003). Understanding Consumer Motivation and Behavior related to Self-scanning in Retailing. International Journal of Service Industry Management, Vol. 14 (1), pp. 59-95. DIX, A. et al (2004). Human-Computer Interaction. Third edition. Pearson/Prentice-Hall. New York. FERNANDES, F. et al, (2015). Do Ensaio à Investigação – Textos Breves Sobre a Investigação, Bernabé Hernandis, Carmen Lloret e Francisco Sanmartín (Editores), Oficina de Acción Internacional - Universidade Politécnica de Valência Edições ESAD.cr/IPL, Leiria. HELANDER, M., LANDAUER, T., PRABHU, P. (1997). Handbook of Human – Computer Interaction. North–Holland: Elsevier. KALLWEIT, K., SPREER, P. & TOPOROWSKI, W. (2014). Why do Customers use Self-service Information Technologies in Retail? The Mediating Effect of Perceived Service Quality. Journal of Retailing and Consumer Services, Vol. 21, pp. 268-276. KELLEY SW, HOFFMAN KD, DAVIS MA. (1993). A typology of retail failures and recoveries. J Retailing. 69(4):429 – 52. 


Author(s):  
Tayana Conte ◽  
Verônica T. Vaz ◽  
Jobson Massolar ◽  
Andrew Bott ◽  
Emilia Mendes ◽  
...  

This chapter presents the WDP (Web Design Perspectives-based Usability Evaluation), an inspection technique specifically designed to assess the usability of Web applications. This technique combines Web design perspectives and the heuristic evaluation method proposed by Nielsen (1994b). In addition to describing the components of the WDP technique this chapter also illustrates its use in practice by means of an industrial case study where the technique is applied to inspect a real Web application. In this case study, developers and requirement assessment staff applied the WDP technique to evaluate the usability of modules developed from scratch for a Web application. The results of this case study indicate the feasibility of performing usability inspections with the participation of a software project’s stakeholders, even when stakeholders are not usability experts.


2012 ◽  
Vol 21 (4) ◽  
pp. 136-143
Author(s):  
Lynn E. Fox

Abstract The self-anchored rating scale (SARS) is a technique that augments collaboration between Augmentative and Alternative Communication (AAC) interventionists, their clients, and their clients' support networks. SARS is a technique used in Solution-Focused Brief Therapy, a branch of systemic family counseling. It has been applied to treating speech and language disorders across the life span, and recent case studies show it has promise for promoting adoption and long-term use of high and low tech AAC. I will describe 2 key principles of solution-focused therapy and present 7 steps in the SARS process that illustrate how clinicians can use the SARS to involve a person with aphasia and his or her family in all aspects of the therapeutic process. I will use a case study to illustrate the SARS process and present outcomes for one individual living with aphasia.


2020 ◽  
pp. 607-612
Author(s):  
Bernard Coûteaux

This paper elaborates on the key solutions offered by De Smet Engineers & Contractors (DSEC) to optimize the efficiency of cane sugar producing and processing facilities. In order to meet customer needs, DSEC offers proprietary predictive models built using the latest versions of specialized software. These models allow factory managers to envision the whole picture of increased operational and capital efficiency before it becomes reality. An integrated energy model and the CAPEX/OPEX evaluation method are discussed as ways to estimate and optimize costs, both for new greenfield projects and revamping of existing factories. The models demonstrate that factory capacities can be successfully increased using equipment that is already available. Special attention is paid to crystallization and centrifugation process simulations and the potential improvement of the global energy balance. One case study shows the transformation of a beet sugar factory into a refinery to process raw cane sugar after beet crop season and the second case shows the integration of a refinery into a cane sugar factory. The primary focus of the article is optimization of the technological process through predictive modelling. DSEC’s suggested solutions, which lead to great improvements in a plant’s efficiency and its ability to obtain very low energy consumption, are discussed.


Author(s):  
Faried Effendy ◽  
Taufik ◽  
Bramantyo Adhilaksono

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.


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