D 2013

Understanding the process of learning touch-screen mobile applications

MAČKOVÁ TOKÁROVÁ, Lucia and Melius WEIDEMAN

Basic information

Original name

Understanding the process of learning touch-screen mobile applications

Authors

MAČKOVÁ TOKÁROVÁ, Lucia (703 Slovakia, guarantor, belonging to the institution) and Melius WEIDEMAN (710 South Africa)

Edition

New York, Proceedings of the 31st ACM international conference on Design of communication (SIGDOC 2013), p. 157-164, 8 pp. 2013

Publisher

ACM

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14330/13:00069608

Organization unit

Faculty of Informatics

ISBN

978-1-4503-2131-0

DOI

Keywords in English

Learning; learnability; mobile applications; mobile user interfaces; touch-screen devices

Tags

Tags

International impact, Reviewed
Změněno: 4/10/2013 09:11, Mgr. Lucia Mačková Tokárová

Abstract

V originále

Mobile devices, together with touch-screen interfaces, have become part of the everyday usage items of many information consumers across the globe. However, it is clear that the learning curve for touch-screen interfaces is steeper than what was expected. This presents some problems especially along with the current trend towards designing more complex mobile applications. The objective of this research was to determine how users interact with applications on touch-screen mobile devices, and how they progress through the various learning phases. A literature study, two pilot studies and a full survey questionnaire were used to gather data and perceptions about the status quo of learning within mobile touch-screen interfaces. Results indicated the presence of recurring patterns in users' preferences. In particular, associations with personal characteristics, namely age, gender and the length of experience, were observed. These patterns might provide fundamental value as a theoretical ground for designing intuitive mobile applications.