Heuristics Considering UX and Quality Criteria for Heuristics
Journal Title: International Journal of Interactive Multimedia and Artificial Intelligence - Year 2017, Vol 4, Issue 6
Abstract
Heuristic evaluation is a cheap tool with which one can take qualitative measures of a product’s usability. However, since the methodology was first presented, the User Experience (UX) has become more popular but the heuristics have remained the same. In this paper, we analyse the current state of heuristic evaluation in terms of heuristics for measuring the UX. To do so, we carried out a literature review. In addition, we had a look at different heuristics and mapped them with the UX dimensions of the User Experience Questionnaire (UEQ). Moreover, we proposed a quality model for heuristic evaluation and a list of quality criteria for heuristics.
Authors and Affiliations
Frederik Bader, Eva-Maria Schön, Jörg Thomaschewski
Keywords
Related Articles
- EP ID EP329908
- DOI 10.9781/ijimai.2017.05.001
- Views 176
- Downloads 0
Exploring the Relevance of Search Engines: An Overview of Google as a Case Study
The huge amount of data on the Internet and the diverse list of strategies used to try to link this information with relevant searches through Linked Data have generated a revolution in data treatment and its representat...
A MAS-Based Cloud Service Brokering System to Respond Security Needs of Cloud Customers
Cloud computing is becoming a key factor in computer science and an important technology for many organizations to deliver different types of services. The companies which provide services to customers are called as clou...
An IoT Based Predictive Connected Car Maintenance Approach
Internet of Things (IoT) is fast emerging and becoming an almost basic necessity in general life. The concepts of using technology in our daily life is not new, but with the advancements in technology, the impact of tech...
Anomaly based Intrusion Detection using Modified Fuzzy Clustering
This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive informa...
Smart Algorithms to Control a Variable Speed Wind Turbine
In this paper, a robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive shaft. Fuz...