Cargando…

A Safe Collaborative Chatbot for Smart Home Assistants

Smart home assistants, which enable users to control home appliances and can be used for holding entertaining conversations, have become an inseparable part of many people’s homes. Recently, there have been many attempts to allow end-users to teach a home assistant new commands, responses, and rules...

Descripción completa

Detalles Bibliográficos
Autores principales: Chkroun, Merav, Azaria, Amos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512550/
https://www.ncbi.nlm.nih.gov/pubmed/34640960
http://dx.doi.org/10.3390/s21196641
_version_ 1784583020316983296
author Chkroun, Merav
Azaria, Amos
author_facet Chkroun, Merav
Azaria, Amos
author_sort Chkroun, Merav
collection PubMed
description Smart home assistants, which enable users to control home appliances and can be used for holding entertaining conversations, have become an inseparable part of many people’s homes. Recently, there have been many attempts to allow end-users to teach a home assistant new commands, responses, and rules, which can then be shared with a larger community. However, allowing end-users to teach an agent new responses, which are shared with a large community, opens the gate to malicious users, who can teach the agent inappropriate responses in order to promote their own business, products, or political views. In this paper, we present a platform that enables users to collaboratively teach a smart home assistant (or chatbot) responses using natural language. We present a method of collectively detecting malicious users and using the commands taught by the malicious users to further mitigate activity of future malicious users. We ran an experiment with 192 subjects and show the effectiveness of our platform.
format Online
Article
Text
id pubmed-8512550
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-85125502021-10-14 A Safe Collaborative Chatbot for Smart Home Assistants Chkroun, Merav Azaria, Amos Sensors (Basel) Article Smart home assistants, which enable users to control home appliances and can be used for holding entertaining conversations, have become an inseparable part of many people’s homes. Recently, there have been many attempts to allow end-users to teach a home assistant new commands, responses, and rules, which can then be shared with a larger community. However, allowing end-users to teach an agent new responses, which are shared with a large community, opens the gate to malicious users, who can teach the agent inappropriate responses in order to promote their own business, products, or political views. In this paper, we present a platform that enables users to collaboratively teach a smart home assistant (or chatbot) responses using natural language. We present a method of collectively detecting malicious users and using the commands taught by the malicious users to further mitigate activity of future malicious users. We ran an experiment with 192 subjects and show the effectiveness of our platform. MDPI 2021-10-06 /pmc/articles/PMC8512550/ /pubmed/34640960 http://dx.doi.org/10.3390/s21196641 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chkroun, Merav
Azaria, Amos
A Safe Collaborative Chatbot for Smart Home Assistants
title A Safe Collaborative Chatbot for Smart Home Assistants
title_full A Safe Collaborative Chatbot for Smart Home Assistants
title_fullStr A Safe Collaborative Chatbot for Smart Home Assistants
title_full_unstemmed A Safe Collaborative Chatbot for Smart Home Assistants
title_short A Safe Collaborative Chatbot for Smart Home Assistants
title_sort safe collaborative chatbot for smart home assistants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512550/
https://www.ncbi.nlm.nih.gov/pubmed/34640960
http://dx.doi.org/10.3390/s21196641
work_keys_str_mv AT chkrounmerav asafecollaborativechatbotforsmarthomeassistants
AT azariaamos asafecollaborativechatbotforsmarthomeassistants
AT chkrounmerav safecollaborativechatbotforsmarthomeassistants
AT azariaamos safecollaborativechatbotforsmarthomeassistants