Interfacing thought: cognitive aspects of human-computer interaction
Learning to use word processors: problems and prospects
ACM Transactions on Information Systems (TOIS)
Training wheels in a user interface
Communications of the ACM
Patterns of experience in text editing
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Natural user interfaces are not natural
interactions
Gesture search: a tool for fast mobile data access
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
International Journal of Human-Computer Studies
Experimental analysis of touch-screen gesture designs in mobile environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Gender pluralism in problem-solving software
Interacting with Computers
User learning and performance with bezel menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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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.