Usability Testing Versus Heuristic Evaluation ab 68 € als Taschenbuch: A Case Study On Prezzybox. com Online Shopping Website. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,
A poorly designed and unusable system can lead to immense frustration to users, reduced productivity, undesirable profit lose and deterioration of one s quality of life. To determine a successful interactive system, usability should be integrated in the design process to ensure greater shifts in efficiency and help to reduce work task errors. Incorporating usability in the development process can help to bridge the communication and procurement process for suppliers and customer organisations. Two usability evaluation methods, usability testing and heuristic evaluation were employed to evaluate on an online shopping website, namely Prezzybox.com. The main difference of these two usability evaluation methods is: usability testing involves real users in the test, whilst heuristic evaluation is a quick and cheap technique to evaluate user interface with reference to a rule of thumbs by experts. Cost-benefit analysis was also carried out to justify which usability evaluation method was more cost-effective. The effectiveness of Common Industry Format (now as ISO/IEC 25062:2006) industry-reporting format for both usability evaluation methods is also discussed.
In the new economy SMEs face new challenges in their B2C transactions, such as the use of new Information and Communication Technologies (ICT). Electronic commerce may represent a com-petitive advantage to make enterprises more visible to consumers. The main barrier to the development of successful e-commerce business is represented by websites not meeting basic accessibility and usability features. To tackle this issue, heuristic evaluation and the gap analysis approach has been adopted. Website usability issues have been measured by a panel of consumers assessing a selected website each. Potential e-consumers simulated an online purchase, thereby allowing them to acquire insights on the importance and prospective satisfaction on each of the usability issues taken into considera-tion. The statistically significant usability issues mainly involve efficiency of navigations (useful naviga-tion tools or sequence of navigation), accuracy in content and supplied information. Additional in-formation underlining the link between wine production and its territory enhances consumers iden-tification. Consumers are more keen to purchase by easy structure of websites than design and style.
This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning.Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website, contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons, includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning, reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW), examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes' theorem and its relevance in everyday life (NEW), discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW), includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW).Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.
Presents a probabilistic and information-theoretic framework for a search for static or moving targets in discrete time and space. Probabilistic Search for Tracking Targets uses an information-theoretic scheme to present a unified approach for known search methods to allow the development of new algorithms of search. The book addresses search methods under different constraints and assumptions, such as search uncertainty under incomplete information, probabilistic search scheme, observation errors, group testing, search games, distribution of search efforts, single and multiple targets and search agents, as well as online or offline search schemes. The proposed approach is associated with path planning techniques, optimal search algorithms, Markov decision models, decision trees, stochastic local search, artificial intelligence and heuristic information-seeking methods. Furthermore, this book presents novel methods of search for static and moving targets along with practical algorithms of partitioning and search and screening. Probabilistic Search for Tracking Targets includes complete material for undergraduate and graduate courses in modern applications of probabilistic search, decision-making and group testing, and provides several directions for further research in the search theory. The authors: * Provide a generalized information-theoretic approach to the problem of real-time search for both static and moving targets over a discrete space. * Present a theoretical framework, which covers known information-theoretic algorithms of search, and forms a basis for development and analysis of different algorithms of search over probabilistic space. * Use numerous examples of group testing, search and path planning algorithms to illustrate direct implementation in the form of running routines. * Consider a relation of the suggested approach with known search theories and methods such as search and screening theory, search games, Markov decision process models of search, data mining methods, coding theory and decision trees. * Discuss relevant search applications, such as quality-control search for nonconforming units in a batch or a military search for a hidden target. * Provide an accompanying website featuring the algorithms discussed throughout the book, along with practical implementations procedures.
In the new economy SMEs face new challenges in their B2C transactions, such as the use of new Information and Communication Technologies (ICT). Electronic commerce may represent a com-petitive advantage to make enterprises more visible to consumers. The main barrier to the development of successful e-commerce business is represented by websites not meeting basic accessibility and usability features. To tackle this issue, heuristic evaluation and the gap analysis approach has been adopted. Website usability issues have been measured by a panel of consumers assessing a selected website each. Potential e-consumers simulated an online purchase, thereby allowing them to acquire insights on the importance and prospective satisfaction on each of the usability issues taken into considera-tion. The statistically significant usability issues mainly involve efficiency of navigations (useful naviga-tion tools or sequence of navigation), accuracy in content and supplied information. Additional in-formation underlining the link between wine production and its territory enhances consumers' iden-tification. Consumers are more keen to purchase by easy structure of websites than design and style.
Ask any surfer and he'll say there's more to the sport of surfing than riding waves--it's a lifestyle, a state of mind, the ultimate expression of freedom and individuality. Many even go so far to define it as a sub-culture. One thing is for certain, no matter what your view, there's no doubt that surfing has a unique, interesting, and often times hilarious language associated with it. With standard terms like 'Dude' enduring for decades, to the more modern variation 'Bruddah Man,' it continues to evolve with every generation. Compiled from Riptionary.com, his database of terms submitted by surfers from points around the world, Scott A. Mathews, himself an avid surfer for many years, captures some of the most interesting, entertaining and informative entries sent to his website in Riptionary. Riptionary offers unique, interesting and informative insight into the sport of surfing as it takes you on an entertaining heuristic journey one word at a time through the language that is and defines surfing. Written in a casual, yet engaging manner, Riptionary gives you an entertaining, informative and uniquely insightful look into the sport of surfing.
A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling--all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: * Interval estimation and Methods for analyzinghypothesis testing of means time series data * Spatial statistics * Multivariate analysis * Discrete distributions * Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.