Mark D. Dunlop

Abstract: Current mobile computing devices such as palmtop computers, personal digital assistants (PDAs) and mobile phones, and future devices such as Bluetooth and GSM enabled cameras, and music players have many implications for the design of the user interface. These devices share a common problem: attempting to give users access to powerful computing services and resources through small interfaces, which typically have tiny visual displays, poor audio interaction facilities and limited input techniques. They also introduce new challenges such as designing for intermittent and expensive network access, and design for position awareness and context sensitivity. No longer can designers base computing designs around the traditional model of a single user working with a personal computer at his/her workplace. In addition to mobility and size requirements, mobile devices will also typically be used by a larger population spread than traditional PCs and without any training or support networks, whether formal or informal. Furthermore, unlike early computers which had many users per computer, and PCs with usually one computer per user, a single user is likely to own many mobiles devices [1] which they interact with indifferent ways and for different tasks.

TL;DR: A new text entry method using a single key-press per letter together with a large dictionary of words for disambiguation is described, which is similar to technology recently licensed, independently, to several phone companies and extended with automatic word completion.

TL;DR: Summary models within each discipline are used to propose an outline and detailed multidisciplinary model of context involving the differentiation of focal and contextual aspects of the user and application's world and key human and social issues can be identified.

TL;DR: The model presented is based on combining evidence of the text content and hypertext structure of the Web, and shows that certain types of query are amply served by this form of representation.

TL;DR: The results revealed that instructions formed from visually impaired people resulted in a lower weighted workload score, less minor deviations, and quicker times for visually impaired participants, while these instructions were found to cause a higher weighted workload Score for sighted participants.