Name
Abstract | ||
|---|---|---|
A hypothetical scenario is utilized to explore privacy and security considerations for intelligent systems, such as a Personal Assistant for Learning (PAL). Two categories of potential concerns are addressed: factors facilitated by user models, and factors facilitated by systems. Among the strategies presented for risk mitigation is a call for ongoing, iterative dialog among privacy, security, and personalization researchers during all stages of development, testing, and deployment. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2732158.2732195 | IUI Companion |
Keywords | Field | DocType |
security,personalized learning,privacy | Dialog box,Internet privacy,Software deployment,Privacy by Design,Intelligent decision support system,Computer science,Human–computer interaction,Risk management,Personalized learning,Information privacy,Personalization | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elaine M. Raybourn | 1 | 150 | 28.72 |
| Nathan Fabian | 2 | 107 | 8.00 |
| Warren L. Davis IV | 3 | 1 | 2.04 |
| Raymond C. Parks | 4 | 0 | 0.34 |
| Jonathan McClain | 5 | 3 | 1.88 |
| Derek Trumbo | 6 | 0 | 0.34 |
| Damon Regan | 7 | 0 | 0.34 |
| Paula Durlach | 8 | 0 | 0.34 |