TY - GEN
T1 - Pharos
T2 - 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2017
AU - Wenig, Nina
AU - Wenig, Dirk
AU - Ernst, Steffen
AU - Malaka, Rainer
AU - Hecht, Brent
AU - Schöning, Johannes
N1 - doi: 10.1145/3098279.3098529
http://delivery.acm.org/10.1145/3100000/3098529/a7-wenig.pdf?ip=129.105.240.188&id=3098529&acc=OPENTOC&key=C77695EED93947B7%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35%2E9F04A3A78F7D3B8D&CFID=996385089&CFTOKEN=72751423&__acm__=1508433630_d071d269daa02353b9ee68518185c6e8
PY - 2017/9/4
Y1 - 2017/9/4
N2 - Landmark-based navigation systems have proven benefits relative to traditional turn-by-turn systems that use street names and distances. However, one obstacle to the implementation of landmark-based navigation systems is the complex challenge of selecting salient local landmarks at each decision point for each user. In this paper, we present Pharos, a novel system that extends turn-by-turn navigation instructions using a single global landmark (e.g. the Eiffel Tower, the Burj Khalifa, municipal TV towers) rather than multiple, hard-to-select local landmarks. We first show that our approach is feasible in a large number of cities around the world through the use of computer vision to select global landmarks. We then present the results of a study demonstrating that by including global landmarks in navigation instructions, users navigate more confidently and build a more accurate mental map of the navigated area than using turn-by-turn instructions.
AB - Landmark-based navigation systems have proven benefits relative to traditional turn-by-turn systems that use street names and distances. However, one obstacle to the implementation of landmark-based navigation systems is the complex challenge of selecting salient local landmarks at each decision point for each user. In this paper, we present Pharos, a novel system that extends turn-by-turn navigation instructions using a single global landmark (e.g. the Eiffel Tower, the Burj Khalifa, municipal TV towers) rather than multiple, hard-to-select local landmarks. We first show that our approach is feasible in a large number of cities around the world through the use of computer vision to select global landmarks. We then present the results of a study demonstrating that by including global landmarks in navigation instructions, users navigate more confidently and build a more accurate mental map of the navigated area than using turn-by-turn instructions.
KW - Computer vision
KW - Global landmarks
KW - Landmark-based navigation
KW - Pedestrian navigation
KW - Smartwatches
UR - http://www.scopus.com/inward/record.url?scp=85030324572&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030324572&partnerID=8YFLogxK
U2 - 10.1145/3098279.3098529
DO - 10.1145/3098279.3098529
M3 - Conference contribution
AN - SCOPUS:85030324572
SN - 978-1450350754
T3 - Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2017
BT - Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2017
PB - Association for Computing Machinery, Inc
Y2 - 4 September 2017 through 7 September 2017
ER -