Academic Journal

Towards Compromise User Experience Design in Ambient Intelligent Environment.

Bibliographic Details
Title: Towards Compromise User Experience Design in Ambient Intelligent Environment.
Authors: Ander, Veronika, Cihelka, Petr, Tyrychtr, Jan, Novák, David
Source: Agris On-Line Papers in Economics & Informatics; Jun2022, Vol. 14 Issue 2, p3-13, 11p
Abstract: Building, testing and evaluating UX for applications for Agricultural Ambient Intelligence Environments can be a difficult and time-consuming job. It can be an even longer and more challenging process due to their complexity and area of scope for complex intelligent systems. Many studies address the issue of UX design and evaluation of website user interface, mobiles, tangible equipment, wearable equipment and other, but it is necessary to look for UX deficiencies in all possible functions, every possible task. Depending on the structure of expert teams, experts' opinions can vary broadly vary or may even contradict. This paper presents possibilities of use the Best-Compromise-Mean (BeCoMe) method for evaluation UX design. BeCoMe was not used for UX evaluation yet. Verification of whether the BeCoMe method is suitable for UX evaluation is carried out on a tablet using two prototypes of control panels of an intelligent environment. [ABSTRACT FROM AUTHOR]
Subject Terms: USER experience, AMBIENT intelligence, CONTROL boards (Electrical engineering), USER interfaces, WEB design, INTELLIGENT control systems
Copyright of Agris On-Line Papers in Economics & Informatics is the property of Czech University of Life Sciences Prague, Consulting Center of the Faculty of Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
ISSN: 18041930
DOI: 10.7160/aol.2022.140201
Database: Complementary Index