Name
Abstract | ||
|---|---|---|
As teleoperated robot technology becomes cheaper, more powerful, and more reliable, remotely-operated telepresence robots will become more prevalent in homes and businesses, allowing visitors and business partners to be present without the need to travel. Hindering adoption is the issue of privacy: an Internet-connected telepresence robot has the ability to spy on its local area, either for the remote operator or a third party with access to the video data. Additionally, since the remote operator may move about and manipulate objects without local-user intervention, certain typical privacy-protecting techniques such as moving objects to a different room or putting them in a cabinet may prove insufficient. In this paper, we examine the effects of three whole-image filters on the remote operator's ability to discern details while completing a navigation task. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3029798.3038341 | HRI (Companion) |
Field | DocType | ISSN |
Cabinet (file format),Computer security,Simulation,Computer science,Third party,Human–computer interaction,Teleoperated robot,Operator (computer programming),Cognitive load,Robot,Telerobotics | Conference | 2167-2121 |
ISBN | Citations | PageRank |
978-1-4503-4885-0 | 2 | 0.37 |
References | Authors | |
2 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeffrey Klow | 1 | 2 | 0.37 |
| Jordan Proby | 2 | 2 | 0.37 |
| Matthew Rueben | 3 | 15 | 5.89 |
| Ross T. Sowell | 4 | 29 | 6.46 |
| Cindy M. Grimm | 5 | 763 | 77.55 |
| William D. Smart | 6 | 60 | 8.65 |