Collaborative, programmable intelligent agents
Communications of the ACM
Grammex: defining grammars by example
CHI 98 Cconference Summary on Human Factors in Computing Systems
Understanding the micronote lifecycle: improving mobile support for informal note taking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What a to-do: studies of task management towards the design of a personal task list manager
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
Why use memo for all?: restructuring mobile applications to support informal note taking
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Software or wetware?: discovering when and why people use digital prosthetic memory
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Gui --- phooey!: the case for text input
Proceedings of the 20th annual ACM symposium on User interface software and technology
Information scraps: How and why information eludes our personal information management tools
ACM Transactions on Information Systems (TOIS)
Inky: a sloppy command line for the web with rich visual feedback
Proceedings of the 21st annual ACM symposium on User interface software and technology
Calcite: Completing Code Completion for Constructors Using Crowds
VLHCC '10 Proceedings of the 2010 IEEE Symposium on Visual Languages and Human-Centric Computing
The word-gesture keyboard: reimagining keyboard interaction
Communications of the ACM
| Hi-index | 0.00 |
Structure makes data more useful, but also makes data entry more cumbersome. Studies have found that this is especially true on mobile devices, as mobile users often reject structured personal information management tools because the structure is too restrictive and makes entering data slower. To overcome these problems, we introduce a new data entry technique that lets users create customized structured data in an unstructured manner. We use a novel notepad-like editing interface with built-in data detectors that allow users to specify structured data implicitly and reuse the structures when desired. To minimize the amount of typing, it provides intelligent, context-sensitive autocomplete suggestions using personal and public databases that contain candidate information to be entered. We implemented these mechanisms in an example application called Listpad. Our evaluation shows that people using Listpad create customized structured data 16% faster than using a conventional mobile database tool. The speed further increases to 42% when the fields can be autocompleted.