scholarly journals Development of measurement instrument for visual qualities of graphical user interface elements (VISQUAL): a test in the context of mobile game icons

2020 ◽  
Vol 30 (5) ◽  
pp. 949-982 ◽  
Author(s):  
Henrietta Jylhä ◽  
Juho Hamari
Keyword(s):  
User Interface ◽  
Human Computer Interaction ◽  
Graphical User Interface ◽  
User Interfaces ◽  
Factor Model ◽  
Measurement Instrument ◽  
Graphical User Interfaces ◽  
Factor Analyses ◽  
Interface Elements ◽  
Computer Interaction

Abstract Graphical user interfaces are widely common and present in everyday human–computer interaction, dominantly in computers and smartphones. Today, various actions are performed via graphical user interface elements, e.g., windows, menus and icons. An attractive user interface that adapts to user needs and preferences is progressively important as it often allows personalized information processing that facilitates interaction. However, practitioners and scholars have lacked an instrument for measuring user perception of aesthetics within graphical user interface elements to aid in creating successful graphical assets. Therefore, we studied dimensionality of ratings of different perceived aesthetic qualities in GUI elements as the foundation for the measurement instrument. First, we devised a semantic differential scale of 22 adjective pairs by combining prior scattered measures. We then conducted a vignette experiment with random participant (n = 569) assignment to evaluate 4 icons from a total of pre-selected 68 game app icons across 4 categories (concrete, abstract, character and text) using the semantic scales. This resulted in a total of 2276 individual icon evaluations. Through exploratory factor analyses, the observations converged into 5 dimensions of perceived visual quality: Excellence/Inferiority, Graciousness/Harshness, Idleness/Liveliness, Normalness/Bizarreness and Complexity/Simplicity. We then proceeded to conduct confirmatory factor analyses to test the model fit of the 5-factor model with all 22 adjective pairs as well as with an adjusted version of 15 adjective pairs. Overall, this study developed, validated, and consequently presents a measurement instrument for perceptions of visual qualities of graphical user interfaces and/or singular interface elements (VISQUAL) that can be used in multiple ways in several contexts related to visual human-computer interaction, interfaces and their adaption.

scholarly journals A Novel System for Processing User Interfaces

2020 ◽  
Vol 5 (1) ◽  
pp. 42-45
Author(s):  
Frank Edughom Ekpar
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
User Interfaces ◽  
Arbitrary Shape ◽  
Graphical User Interfaces ◽  
Interface Elements ◽  
Arbitrary Size ◽  
Efficient Generation ◽  
Manual Processing ◽  
And Behaviors

In this paper we introduce novel automatic and manual processing systems for a versatile graphical user interface comprising one or more N-dimensional background elements each of which is divided into one or more arbitrarily-shaped N-dimensional partitions, wherein each partition may contain one or more user interface elements and is associated with one or more sets of rules that define rendering, positioning, element placement and other relevant attributes and behaviors, wherein said rules can be specified in such a way as to enable said N-dimensional background to assume any desired arbitrary shape and to facilitate expansion to any desired arbitrary size without distortion or loss in quality. Our systems permit the efficient generation of intuitive graphical user interfaces in a wide variety of application domains.

scholarly journals Collective Administration of Graphical User Interfaces (GUI) in the Light of the BSA Decision

2016 ◽  
Vol 10 (2) ◽  
pp. 128-147
Author(s):  
Pavel Koukal
Keyword(s):  
Czech Republic ◽  
User Interface ◽  
Graphical User Interface ◽  
User Interfaces ◽  
Copyright Protection ◽  
Legal Regulation ◽  
Graphical User Interfaces ◽  
Eu Member States ◽  
Collective Administration ◽  
The Impact

In this paper the author addresses the issue of collective administration of graphical user interfaces according to the impact of the CJEU decision in BSA v. Ministry of Culture on the case-law in one of EU Member states (Czech Republic). The author analyses the decision of the Czech Supreme Court where this Court concluded that visitors of Internet cafés use graphical user interface actively, which represents relevant usage of a copyrighted works within the meaning of Art. 18 the Czech Copyright Act. In this paper, attention is first paid to the definition of graphical user interface, its brief history and possible regimes of intellectual property protection. Subsequently, the author focuses on copyright protection of graphical user interfaces in the Czech law and interprets the BSA decision from the perspective of collective administration of copyright. Although the graphical user interfaces are independent objects of the copyright protection, if they are used while running the computer program the legal regulation of computer programs has priority. Based on conclusions reached by the Supreme Administrative Court of the Czech Republic in the BSA case, the author claims that collective administration of graphical user interfaces is neither reasonable nor effective.

scholarly journals Adapting the unified software development process for user interface development

2006 ◽  
Vol 3 (1) ◽  
pp. 33-52 ◽  
Author(s):  
Zeljko Obrenovic ◽  
Dusan Starcevic
Keyword(s):  
User Interface ◽  
Human Computer Interaction ◽  
User Interfaces ◽  
Multimodal Interfaces ◽  
Software Developers ◽  
Software Engineers ◽  
Unified Process ◽  
Uml Models ◽  
Computer Interaction

In this paper we describe how existing software developing processes, such as Rational Unified Process, can be adapted in order to allow disciplined and more efficient development of user interfaces. The main objective of this paper is to demonstrate that standard modeling environments, based on the UML, can be adapted and efficiently used for user interfaces development. We have integrated the HCI knowledge into developing processes by semantically enriching the models created in each of the process activities of the process. By using UML, we can make easier use of HCI knowledge for ordinary software engineers who, usually, are not familiar with results of HCI researches, so these results can have broader and more practical effects. By providing a standard means for representing human computer interaction, we can seamlessly transfer UML models of multimodal interfaces between design and specialized analysis tools. Standardization provides a significant driving force for further progress because it codifies best practices enables and encourages reuse, and facilitates inter working between complementary tools. Proposed solutions can be valuable for software developers, who can improve quality of user interfaces and their communication with user interface designers, as well as for human computer interaction researchers, who can use standard methods to include their results into software developing processes.

Web Usability

2005 ◽  
pp. 3074-3078
Author(s):  
Shirley Ann Becker
Keyword(s):  
User Interface ◽  
Human Computer Interaction ◽  
Interest Group ◽  
Personal Computer ◽  
User Interfaces ◽  
User Satisfaction ◽  
Ease Of Use ◽  
Human Interaction ◽  
Computing Machinery ◽  
Computer Interaction

The study of computing technology and user interfaces was initiated during the 1970s when industrial research laboratories began to focus on human-computer interaction (HCI) (Badre, 2002). In the 1980s, the personal computer was introduced, thus expanding the need for designing effective user interfaces. HCI became a discipline during this time, and the Association for Computing Machinery (ACM) established the Special Interest Group in Computer Human Interaction. One of the first textbooks on HCI, Designing the User Interface: Strategies for Effective Human-Computer Interaction (Schneiderman, 19891), was published. Shortly thereafter, HCI became part of the ACM curriculum promoting the development of effective user interfaces. Software tools were developed in order to assist in designing usable interfaces while employing usability engineering methods. Many of these methods focused on usability from the perspective of ease of use, ease of learning, user satisfaction, and zero defects (Nielsen, 1993).

Benefiting Design Even Late in the Development Cycle: Contributions by Human Factors Engineers

1996 ◽  
Vol 40 (5) ◽  
pp. 318-322 ◽  
Author(s):  
Merissa Walkenstein ◽  
Ronda Eisenberg
Keyword(s):  
Experimental Study ◽  
User Interface ◽  
Human Factors ◽  
Graphical User Interface ◽  
User Interfaces ◽  
Late Stage ◽  
Development Process ◽  
Graphical User Interfaces ◽  
Design And Development ◽  
Development Cycle

This paper describes an experimental study that compares a graphical user interface for a computer-telephony product designed without the involvement of a human factors engineer to a redesign of that interface designed with a human factors engineer late in the development cycle. Both interfaces were usability tested with target customers. Results from a number of measures, both subjective and objective, indicate that the interface designed with the human factors engineer was easier to use than the interface designed without the human factors engineer. The results of this study show the benefits of involving human factors engineers in the design of graphical user interfaces even towards the end of a development cycle. However, this involvement is most effective when human factors engineers are included as an integral part of the design and development process even at this late stage in the process.

scholarly journals Exploiting Transitivity in Probabilistic Models for Ontology Learning

2012 ◽  
pp. 259-293 ◽  
Author(s):  
Francesca Fallucchi ◽  
Fabio Massimo Zanzotto
Keyword(s):  
User Interface ◽  
Human Computer Interaction ◽  
Structural Properties ◽  
Graphical User Interface ◽  
Probabilistic Models ◽  
Learning System ◽  
Ontology Learning ◽  
Specific Domain ◽  
New Information ◽  
Computer Interaction

The authors propose probabilistic models for learning ontologies that expand existing ontologies taking into account both corpus-extracted evidence and the structure of the generated ontologies. The model exploits structural properties of target relations such as transitivity during learning. They then propose two extensions of the probabilistic models: a model for learning from a generic domain that can be exploited to extract new information in a specific domain and an incremental ontology learning system that puts human validations in the learning loop. This latter provides a graphical user interface and a human-computer interaction workflow supporting the incremental leaning loop.

Integrating Usability, Semiotic, and Software Engineering into a Method for Evaluating User Interfaces

2009 ◽  
pp. 448-464
Author(s):  
Kenia Sousa ◽  
Albert Schilling ◽  
Elizabeth Furtado
Keyword(s):  
User Interface ◽  
Software Engineering ◽  
Human Computer Interaction ◽  
User Interfaces ◽  
Usability Engineering ◽  
Ui Design ◽  
Usability Tests ◽  
Computer Interaction ◽  
Area Of Study

We present artifacts and techniques used for user interface (UI) design and evaluation, performed by professionals from the human-computer interaction (HCI) area of study, covering usability engineering and semiotic engineering, which can assist software engineering (SE) to perform usability tests starting earlier in the process. Tests of various interaction alternatives, produced from these artifacts, are useful to verify if these alternatives are in accordance with users’ preferences and constraints, and usability patterns, and can enhance the probability of achieving a more usable and reliable product.

Human-Computer Interaction in Games Using Computer Vision Techniques

2011 ◽  
pp. 146-167
Author(s):  
Vladimir Devyatkov ◽  
Alexander Alfimtsev
Keyword(s):  
Computer Vision ◽  
User Interface ◽  
Human Computer Interaction ◽  
Virtual Environments ◽  
Graphical User Interface ◽  
Two Dimensional ◽  
Human Computer Interface ◽  
Intuitive Interfaces ◽  
Tracking And Recognition ◽  
Computer Interaction

A primary goal of virtual environments is to support natural, efficient, powerful and flexible human-computer interaction. But the traditional two-dimensional, keyboard- and mouse-oriented graphical user interface is not well-suited for virtual environments. The most popular approaches for capture, tracking and recognition of different modalities simultaneously to create intellectual human-computer interface for games will be considered in this chapter. Taking into account the large gesture variability and their important role in creating intuitive interfaces, the considered approaches focus one’s attention on gestures although the approaches may be used also for other modalities. The considered approaches are user independent and do not require large learning samples.

Human-Computer Interaction in Games Using Computer Vision Techniques

2013 ◽  
pp. 1210-1231 ◽  
Author(s):  
Vladimir Devyatkov ◽  
Alexander Alfimtsev
Keyword(s):  
Computer Vision ◽  
User Interface ◽  
Human Computer Interaction ◽  
Virtual Environments ◽  
Graphical User Interface ◽  
Two Dimensional ◽  
Human Computer Interface ◽  
Intuitive Interfaces ◽  
Tracking And Recognition ◽  
Computer Interaction

A primary goal of virtual environments is to support natural, efficient, powerful and flexible human-computer interaction. But the traditional two-dimensional, keyboard- and mouse-oriented graphical user interface is not well-suited for virtual environments. The most popular approaches for capture, tracking and recognition of different modalities simultaneously to create intellectual human-computer interface for games will be considered in this chapter. Taking into account the large gesture variability and their important role in creating intuitive interfaces, the considered approaches focus one’s attention on gestures although the approaches may be used also for other modalities. The considered approaches are user independent and do not require large learning samples.

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