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Treffer: Analyzing the Benefits of Integrative Multi-Dimensional Assessments of Usability Features in Interaction-Centered User Studies

Title:
Analyzing the Benefits of Integrative Multi-Dimensional Assessments of Usability Features in Interaction-Centered User Studies
Authors:
Ermes, Verena, Janß, Armin, Radermacher, Klaus, Röcker, Carsten, Hein, Andreas, Association for Computing Machinery-Digital Library, ACM Special Interest Group on Computer-Human Interaction
Source:
Ermes V, Janß A, Radermacher K, Röcker C. Analyzing the Benefits of Integrative Multi-Dimensional Assessments of Usability Features in Interaction-Centered User Studies. In: Hein A, Association for Computing Machinery-Digital Library, eds. Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare . Brussels, Belgium : ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering); 2014:227-230. doi: 10.4108/icst.pervasivehealth.2014.255142#d73284787e1
Publisher Information:
ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
Publication Year:
2014
Collection:
Publications at Ostwestfalen-Lippe University of Applied Sciences
Subject Terms:
Usability Measures, User Experience, Eye Tracking, Biosignal Data Logging, Emotion Evaluation, Risk Analysis, Medical Devices, Integrated Usability Evaluation
Document Type:
Konferenz conference object<br />report
Language:
English
Availability:
https://www.th-owl.de/elsa/record/4373
Rights:
info:eu-repo/semantics/openAccess
Accession Number:
edsbas.5116276C
Database:
BASE

Weitere Informationen

Today, usability measures for the evaluation of systems and interfaces are mostly assessed in an isolated way. This paper addresses the question whether an integrative multi-dimensional feature evaluation can lead to different and more holistic results. We combined traditional measures (e.g., time to task completion) with advanced measures, like eye tracking, biosignal data logging and assessment of user emotions. For the evaluation of emotions, we used verbal methods (PAD Semantic Scale and a questionnaire) and a nonverbal method with EmoCards. The overall goal was to document and analyze the interaction as completely as possible (including effectiveness, efficiency and user satisfaction), focusing especially on objective measurements. Furthermore, the recording and assessment of emotions, which are part of the user experience, should give insights into user satisfaction.