Abstract
This paper demonstrates a potential application for latent semantic analysis and similar techniques in visualising the differences between two levels of knowledge about a risk issue. The HIV/AIDS risk issue will be examined and the semantic clusters of key words in a technical corpora derived from specific literature about HIV/AIDS will be compared with the semantic clusters of those in more general corpora. It is hoped that these comparisons will create a fast and efficient complementary approach to the articulation of mental models of risk issues that could be used to target possible inconsistencies between expert and lay mental models.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2005 Human-Computer Interaction Conference |
| Editors | Gavriel Salvendy |
| Publisher | Lawrence Erlbaum |
| Number of pages | 7 |
| ISBN (Electronic) | 0-8058-5807-5 |
| Publication status | Published - 2005 |
| Event | HCI International 2005 - Nevada, Las Vegas, United States Duration: 22 Jul 2005 → 27 Jul 2005 |
Conference
| Conference | HCI International 2005 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 22/07/2005 → 27/07/2005 |
Access to Document
- Visualising Textual Knowledge about Risks to Aid Risk Communication
© 2005 The Authors