TY - GEN
T1 - The city as a personal assistant
AU - Acer, Utku Günay
AU - Van Den Broeck, Marc
AU - Kawsar, Fahim
PY - 2019
Y1 - 2019
N2 - Conversational agents are increasingly becoming digital partners in our everyday computational experiences. Although rich, and fresh in content, they are oblivious to users’ locality beyond geospatial weather and traffic conditions. We introduce conversational agents that are hyper-local, embedded deeply into the urban infrastructure providing rich, purposeful, detail, and in some cases playful information relevant to a neighborhood. These agents are spatially constrained, and one can only interact with them once she is in close vicinity at street-level granularity. In other words, the city provides personal, stateful, spontaneous service to its citizens through the agents installed in urban landmarks. Drawing lessons from two user studies, we identify the requirements for this system. We then discuss the architecture of these agents that leverage covert communication channels and machine learning algorithms that run on the edge and wearable devices to offer meaningful conversational experience in urban settings.
AB - Conversational agents are increasingly becoming digital partners in our everyday computational experiences. Although rich, and fresh in content, they are oblivious to users’ locality beyond geospatial weather and traffic conditions. We introduce conversational agents that are hyper-local, embedded deeply into the urban infrastructure providing rich, purposeful, detail, and in some cases playful information relevant to a neighborhood. These agents are spatially constrained, and one can only interact with them once she is in close vicinity at street-level granularity. In other words, the city provides personal, stateful, spontaneous service to its citizens through the agents installed in urban landmarks. Drawing lessons from two user studies, we identify the requirements for this system. We then discuss the architecture of these agents that leverage covert communication channels and machine learning algorithms that run on the edge and wearable devices to offer meaningful conversational experience in urban settings.
KW - Conversational agents, location based services
UR - http://www.scopus.com/inward/record.url?scp=85072879393&partnerID=8YFLogxK
U2 - 10.1145/3341162.3350847
DO - 10.1145/3341162.3350847
M3 - Conference contribution
T3 - UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
SP - 1102
EP - 1106
BT - UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
A2 - Harle, Robert
A2 - Farrahi, Katayoun
A2 - Lane, Nicholas
PB - ACM
T2 - 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019
Y2 - 9 September 2019 through 13 September 2019
ER -