TY - GEN
T1 - A user interface for encoding space usage rules expressed in natural language
AU - Samsonov, Pavel
AU - Schöning, Johannes
AU - Hecht, Brent
PY - 2015/4/18
Y1 - 2015/4/18
N2 - Our interactions with the spaces around us are frequently defined by space usage rules (SURs) like "no smoking", "no dogs allowed", and "stay on the trail". These rules are important public health tools and help protect the environment, among other applications. However, despite their importance, no large-scale database of SURs currently exists. This prevents online/mobile maps from presenting these rules to users, as their traditional paper counterparts have been shown to do regularly. The lack of a SUR database also prevents developers from building novel SUR-based applications, e.g. mobile apps that inform users where they can smoke or walk their dog. In this paper, we present an in-development user interface to support the semi-automatic encoding of SURs expressed in natural language in documents such as laws, city ordinances, park rules, and institution FAQ pages. Our system will allow an untrained user to easily enter complex rules into a spatial data format compatible with OpenStreetMap.
AB - Our interactions with the spaces around us are frequently defined by space usage rules (SURs) like "no smoking", "no dogs allowed", and "stay on the trail". These rules are important public health tools and help protect the environment, among other applications. However, despite their importance, no large-scale database of SURs currently exists. This prevents online/mobile maps from presenting these rules to users, as their traditional paper counterparts have been shown to do regularly. The lack of a SUR database also prevents developers from building novel SUR-based applications, e.g. mobile apps that inform users where they can smoke or walk their dog. In this paper, we present an in-development user interface to support the semi-automatic encoding of SURs expressed in natural language in documents such as laws, city ordinances, park rules, and institution FAQ pages. Our system will allow an untrained user to easily enter complex rules into a spatial data format compatible with OpenStreetMap.
UR - http://www.scopus.com/inward/record.url?scp=84954289199&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954289199&partnerID=8YFLogxK
U2 - 10.1145/2702613.2732737
DO - 10.1145/2702613.2732737
M3 - Conference contribution
AN - SCOPUS:84954289199
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 2211
EP - 2216
BT - CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
Y2 - 18 April 2015 through 23 April 2015
ER -
