Abstract
Traditional remote controls typically allow users to activate functionality of a single device. Given that users activate a subset of functionality across devices to accomplish a particular task, it is attractive to consider a remote control directly supporting this behavior. We present qualitative and quantitative results from a study of two promising approaches creating such a remote control: end-user programming and machine learning. In general, results show that each approach possesses advantages and disadvantages, and that neither is optimal.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 136-143 |
| Number of pages | 8 |
| Journal | Personal and Ubiquitous Computing |
| Volume | 10 |
| Issue number | 2-3 |
| Early online date | Nov 5 2005 |
| DOIs | |
| State | Published - Apr 2006 |
| Externally published | Yes |
Keywords
- Appliance
- Machine learning
- Ubiquitous computing
- User interaction
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Science Applications
- Management Science and Operations Research
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