Abstract
In this paper, we look at projects leveraging human knowledge and understanding in computer systems for extracting conversational topics. Tasks like speech recognition are difficult for computers, but simple for people engaged in conversation. This task is a cornerstone of transcription, speech summarization, and topic recognition. We propose using tabletop interaction to enhance the computer's basic categorization. We then describe how the results of tabletop interaction help to create meaningful archival visualizations and personal reflecting tools.
| Original language | English (US) |
|---|---|
| Pages | 2829-2834 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2008 |
| Event | 28th Annual CHI Conference on Human Factors in Computing Systems - Florence, Italy Duration: Apr 5 2008 → Apr 10 2008 |
Other
| Other | 28th Annual CHI Conference on Human Factors in Computing Systems |
|---|---|
| Country/Territory | Italy |
| City | Florence |
| Period | 4/5/08 → 4/10/08 |
Keywords
- Clustering
- Human understanding
- Topic extraction
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design