Web Design Patterns: Investigating User Goals and Browsing Strategies

Author(s):  
Paloma Díaz ◽  
Mary Beth Rosson ◽  
Ignacio Aedo ◽  
John. M. Carroll
Keyword(s):  
Author(s):  
Araminta Matthews ◽  
Robert M. Kitchin Jr.

Design patterns have received much attention across multiple design domains where social interaction is a central goal because they have great potential for capturing and sharing design knowledge. Design patterns, design pattern language, and design pattern libraries demonstrate potential benefits to novice and expert online course designers. Trends affecting the growth of online courses and resultant pitfalls negatively affecting students and instructors indicate the need for social presence design. A literature review addresses the importance of social interaction, differentiated design, learning-oriented social networking, and Web design structures in an effort to assuage the experience of isolation reported by the majority of online students. The authors argue that design patterns are a method of overcoming many of these apparent obstacles to quality online course design and learning engagement. Additionally, they present example design patterns to solve specific social interacting problems.


2018 ◽  
Vol 5 (4) ◽  
pp. 43-60 ◽  
Author(s):  
Sonya Zhang ◽  
Samuel Lee ◽  
Karen Hovsepian ◽  
Hannah Morgia ◽  
Kelli Lawrence ◽  
...  

As more print media move to online, news and media websites have evolved with increasing complexity in content, design, and monetization strategies. In this article, the authors examined and reported the web design patterns of 150 leading news and media websites in six different categories: TV news, online newspapers, online magazines, and technology news, sports news, and business news, using 28 analytics metrics in four dimensions: content structure, multimedia, social sharing, and advertising placements.


2021 ◽  
Author(s):  
Thomas Mejtoft ◽  
◽  
Erik Frängsmyr ◽  
Ulrik Söderström ◽  
Ole Norberg ◽  
...  

As a larger proportion of our lives moves onto the web, so does important and valuable information. This has led to an increase in different kinds of manipulative patterns (dark patterns) in web design with the sole purpose of being deceptive and tricking users. This paper discusses the comprehensive suite of deceptive design patterns on Internet services where the users are expected to comply with the use of cookies. This was done by analyzing 50 different home cooking recipe websites, regarding their appliance to GDPR and how they use different dark patterns in their design. Even though legislation tries to move the choices from the website to the user, it is clear that by using deceptive design patterns it is possible to “bypass” the legislation and trick the user into making a favorable choice for the owners behind the website. The results show that out of the websites that were GDPR approved, a majority still use two types of deceptive design patterns - misdirection and sneak into basket.


2017 ◽  
Vol 3 ◽  
pp. e110 ◽  
Author(s):  
Mark D. Wilkinson ◽  
Ruben Verborgh ◽  
Luiz Olavo Bonino da Silva Santos ◽  
Tim Clark ◽  
Morris A. Swertz ◽  
...  

Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, Dataverse or EUDAT). These data have widely different levels of sensitivity and security considerations. For example, clinical observations about genetic mutations in patients are highly sensitive, while observations of species diversity are generally not. The lack of uniformity in data models from one repository to another, and in the richness and availability of metadata descriptions, makes integration and analysis of these data a manual, time-consuming task with no scalability. Here we explore a set of resource-oriented Web design patterns for data discovery, accessibility, transformation, and integration that can be implemented by any general- or special-purpose repository as a means to assist users in finding and reusing their data holdings. We show that by using off-the-shelf technologies, interoperability can be achieved atthe level of an individual spreadsheet cell. We note that the behaviours of this architecture compare favourably to the desiderata defined by the FAIR Data Principles, and can therefore represent an exemplar implementation of those principles. The proposed interoperability design patterns may be used to improve discovery and integration of both new and legacy data, maximizing the utility of all scholarly outputs.


Author(s):  
Susana Montero ◽  
Paloma Díaz ◽  
Ignacio Aedo
Keyword(s):  

Author(s):  
Milos Kudelka ◽  
Vaclav Snasel ◽  
Zdenek Horak ◽  
Ajith Abraham
Keyword(s):  
Web Site ◽  

Author(s):  
Mark D Wilkinson ◽  
Ruben Verborgh ◽  
Luiz Olavo Bonino da Silva Santos ◽  
Tim Clark ◽  
Morris A Swertz ◽  
...  

Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, or EUDat). These data have widely different levels of sensitivity and security considerations. For example, clinical observations about genetic mutations in patients are highly sensitive, while observations of species diversity are generally not. The lack of uniformity in data models from one repository to another, and in the richness and availability of metadata descriptions, makes integration and analysis of these data a manual, time-consuming task with no scalability. Here we explore a set of resource-oriented Web design patterns for data discovery, accessibility, transformation, and integration that can be implemented by any general- or special-purpose repository as a means to assist users in finding and reusing their data holdings. We show that by using off-the-shelf technologies, interoperability can be achieved even to the level of an individual spreadsheet cell. We note that the behaviors of this architecture compare favorably to the desiderata defined by the FAIR Data Principles, and can therefore represent an exemplar implementation of those principles. The proposed interoperability design patterns may be used to improve discovery and integration of both new and legacy data, maximizing the utility of all scholarly outputs.


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