TY - GEN
T1 - Design and implementation of IoT-enabled personal air quality assistant on instant messenger
AU - Mahajan, Sachit
AU - Tsai, Tzu Chieh
AU - Wu, Wei Lin
AU - Chen, Ling Jyh
N1 - Publisher Copyright:
© 2018 Copyright held by the owner/author(s).
PY - 2018/9/25
Y1 - 2018/9/25
N2 - In the past few years, Internet of Things (IoT) has emerged as an outstanding technology and can be considered as the backbone of the smart world era as it connects physical devices with the internet. On the other hand there are these intelligent conversation interfaces that use a dialogue system to have a conversation with the users and are already used widely. In this paper, we focus on integration of chatbots and IoT to address a critical problem like air quality awareness. We present the architecture of the chatbot and its implementation on an instant messaging application. The chatbot not only provides air quality, temperature and humidity information to the users but also provides services like subscription to air quality monitoring nodes in a particular area or any part of the service region, alarm services, threshold settings, geoquery and recommendation based on the pollutant levels. A detailed explanation of the scenario of use, challenges identified during development process and possible future directions of this integration have also been addressed.
AB - In the past few years, Internet of Things (IoT) has emerged as an outstanding technology and can be considered as the backbone of the smart world era as it connects physical devices with the internet. On the other hand there are these intelligent conversation interfaces that use a dialogue system to have a conversation with the users and are already used widely. In this paper, we focus on integration of chatbots and IoT to address a critical problem like air quality awareness. We present the architecture of the chatbot and its implementation on an instant messaging application. The chatbot not only provides air quality, temperature and humidity information to the users but also provides services like subscription to air quality monitoring nodes in a particular area or any part of the service region, alarm services, threshold settings, geoquery and recommendation based on the pollutant levels. A detailed explanation of the scenario of use, challenges identified during development process and possible future directions of this integration have also been addressed.
KW - Air quality
KW - Chatbot
KW - Internet of Things
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85058622753&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058622753&partnerID=8YFLogxK
U2 - 10.1145/3281375.3281398
DO - 10.1145/3281375.3281398
M3 - Conference contribution
AN - SCOPUS:85058622753
T3 - MEDES 2018 - 10th International Conference on Management of Digital EcoSystems
SP - 165
EP - 170
BT - MEDES 2018 - 10th International Conference on Management of Digital EcoSystems
PB - Association for Computing Machinery, Inc
T2 - 10th International Conference on Management of Digital EcoSystems, MEDES 2018
Y2 - 25 September 2018 through 28 September 2018
ER -