The assessment of usability of electronic shopping: A heuristic evaluation

Today there are thousands of electronic shops accessible via the Web. Some provide user-friendly features whilst others seem not to consider usability factors at all. Yet, it is critical that the electronic shopping interface is user-friendly so as to help users to obtain their desired results. This study applied heuristic evaluation to examine the usability of current electronic shopping. In particular, it focused on four UK-based supermarkets offering electronic services: including ASDA, Iceland, Sainsbury, and Tesco. The evaluation consists of two stages: a free-flow inspection and a task-based inspection. The results indicate that the most significant and common usability problems have been found to lie within the areas of ‘User Control and Freedom’ and ‘Help and Documentation’. The findings of this study are applied to develop a set of usability guidelines to support the future design of effective interfaces for electronic shopping

Evaluation of anthropomorphic feedback for an online auction and affordances

This paper describes an experiment investigating the effectiveness and user satisfaction of using anthropomorphic feedback at the user interface. The context chosen was online bidding due to this kind of activity being very much used in current times by general users. The main results of the experiment were that there was a statistically significant effect observed for the time taken to place a bid in the anthropomorphic text condition. However there were no other significant effects for effectiveness issues and user satisfaction indicators. The results were also analysed in terms of the affordances and the main findings were that each of the four conditions tested in the experiment were probably equivalent in terms of their facilitating the affordances. Overall it may be more important to facilitate the affordances rather than a type of feedback being anthropomorphic in nature or not

Health Figures: An Open Source JavaScript Library for Health Data Visualization

The way we look at data has a great impact on how we can understand it, particularly when the data is related to health and wellness. Due to the increased use of self-tracking devices and the ongoing shift towards preventive medicine, better understanding of our health data is an important part of improving the general welfare of the citizens. Electronic Health Records, self-tracking devices and mobile applications provide a rich variety of data but it often becomes difficult to understand. We implemented the hFigures library inspired on the hGraph visualization with additional improvements. The purpose of the library is to provide a visual representation of the evolution of health measurements in a complete and useful manner. We researched the usefulness and usability of the library by building an application for health data visualization in a health coaching program. We performed a user evaluation with Heuristic Evaluation, Controlled User Testing and Usability Questionnaires. In the Heuristics Evaluation the average response was 6.3 out of 7 points and the Cognitive Walkthrough done by usability experts indicated no design or mismatch errors. In the CSUQ usability test the system obtained an average score of 6.13 out of 7, and in the ASQ usability test the overall satisfaction score was 6.64 out of 7. We developed hFigures, an open source library for visualizing a complete, accurate and normalized graphical representation of health data. The idea is based on the concept of the hGraph but it provides additional key features, including a comparison of multiple health measurements over time. We conducted a usability evaluation of the library as a key component of an application for health and wellness monitoring. The results indicate that the data visualization library was helpful in assisting users in understanding health data and its evolution over time.Comment: BMC Medical Informatics and Decision Making 16.1 (2016

The Effect of Interface Consistency and Cognitive Load on User Performance in an Information Search Task

Although interface consistency is theorized to increase performance and user satisfaction, previous research has found mixed and often non-significant results. The source of this discrepancy may be due to varying levels of task difficulty employed in these past studies. This study attempted to control the task difficulty using cognitive load theory. Interface consistency was manipulated along with intrinsic cognitive load and extraneous cognitive load. Interface consistency was manipulated along three dimensions: physical, communicational and conceptual. Intrinsic cognitive load was manipulated by asking participants finance (high load) questions and travel (low load) questions. Unnecessary and irrelevant extra hyperlinks were used to manipulate extraneous cognitive load. These hyperlinks were either present (high load) or absent (low load) in the websites. Forty eight participants searched for answers to 24 questions across four separate websites. Results indicated interactions between consistency and the two types of cognitive load. These interactions suggest that the effects of consistency are dependent upon the difficulty of the task. Specifically, consistency may be especially important for difficult tasks with high cognitive load

Understanding the Relative Attentional Demands of the Dimensions of Interface Consistency

A consistent interface is thought to be beneficial because it allows users to draw on previous training and experience when operating a new interface. Design guidelines like the eight golden rules of interface design argue that a highly consistent interface improves system usability (Shneiderman, 1987). However, interface consistency is not monolithic; instead it is a complex, multidimensional construct. I refer to the two dimensions of interface consistency as perceptual consistency (the appearance) and conceptual consistency (the functionality) of an interface. Perceptual consistency considers aspects like interface layout and orientation; conceptual consistency considers how the system operates or responds. I sought to understand how combinations of these dimensions might affect performance and user perceptions of a system. For example, what if a system looks the same but operates differently? Results indicate that both an inconsistent appearance and an inconsistent functionality can hurt performance. Forcing consistency, however, may not be beneficial either. When there was a mismatch between dimensions (i.e., one was consistent and the other inconsistent) performance was worse than that of an entirely inconsistent version. Specifically, participants in the conceptual inconsistency and perceptual consistency condition (operates differently but looks the same) performed worse and reported higher workloads. Designers should encourage interface consistency by making systems that function similarly also share a similar appearance; however, when the systems are functionally disparate (i.e., they do different things) designers should take care to avoid implying similarities where they do not exist

COBRA framework to evaluate e-government services: A citizen-centric perspective

E-government services involve many stakeholders who have different objectives that can have an impact on success. Among these stakeholders, citizens are the primary stakeholders of government activities. Accordingly, their satisfaction plays an important role in e-government success. Although several models have been proposed to assess the success of e-government services through measuring users' satisfaction levels, they fail to provide a comprehensive evaluation model. This study provides an insight and critical analysis of the extant literature to identify the most critical factors and their manifested variables for user satisfaction in the provision of e-government services. The various manifested variables are then grouped into a new quantitative analysis framework consisting of four main constructs: cost; benefit; risk and opportunity (COBRA) by analogy to the well-known SWOT qualitative analysis framework. The COBRA measurement scale is developed, tested, refined and validated on a sample group of e-government service users in Turkey. A structured equation model is used to establish relationships among the identified constructs, associated variables and users' satisfaction. The results confirm that COBRA framework is a useful approach for evaluating the success of e-government services from citizens' perspective and it can be generalised to other perspectives and measurement contexts. Crown Copyright © 2014.PIAP-GA-2008-230658) from the European Union Framework Program and another grant (NPRP 09-1023-5-158) from the Qatar National Research Fund (amember of Qatar Foundation

Issues in Evaluating Health Department Web-Based Data Query Systems: Working Papers

Compiles papers on conceptual and methodological topics to consider in evaluating state health department systems that provide aggregate data online, such as taxonomy, logic models, indicators, and design. Includes surveys and examples of evaluations