Context aware access control for home voice assistant in multi-occupant homes
| Autor: | Chiu C. Tan, Abrar S. Alrumayh, Sarah M. Lehman |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science Control (management) Echo (computing) 020206 networking & telecommunications Access control Context (language use) 02 engineering and technology Computer Science Applications Turn off Hardware and Architecture Voice assistant Human–computer interaction 0202 electrical engineering electronic engineering information engineering Context awareness 020201 artificial intelligence & image processing business Software Information Systems |
| Zdroj: | Pervasive and Mobile Computing. 67:101196 |
| ISSN: | 1574-1192 |
| DOI: | 10.1016/j.pmcj.2020.101196 |
| Popis: | Home Voice Assistants (HVAs) like the Amazon Echo or the Google Home are increasingly being used to control smart devices in a smarthome. A HVA device takes in a spoken command (“Turn off the living-room lights and television”), and converts it into commands for respective devices. This paper presents CANVAS system, an Context AwareNess for Voice ASsistants system designed for multi-occupant smarthomes. CANVAS is designed to be run on a HVA, and makes use of the sounds in the home to provide additional context information to decide whether to execute the command, prompt for confirmation, or reject the command entirely. CANVAS also includes a pictorial utility to help non-expert users configure these rules. Our experiments indicate that CANVAS has a low computational overhead, making it suitable to be executed in HVAs. Our experiments Mechanical Turk suggest that the pictorial configuration utility is also intuitive. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect