City Explorer: The Design and Evaluation of a Location-Based Community Information System
Carolyn Pang, Rui Pan, Carman Neustaedter, and Kate Hennessy. 2019. City Explorer: The Design and Evaluation of a Location-Based Community Information System. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). Association for Computing Machinery, New York, NY, USA, Paper 341, 1–15. https://doi.org/10.1145/3290605.3300571
Many working professionals commute via public transit, yet they have limited tools for learning about their urban neighborhoods and fellow commuters. We designed a location-based game called City Explorer to investigate how transit commuters capture, share, and view community information that is specifically tied to locations. Through a four-week field study, we found that participants valued the increased awareness of their personal travel routines that they gained through City Explorer. When viewing community information, they preferred information that was factual rather than opinion-based and was presented at the start and end of their commutes. Participants found less value in connecting with other transit riders because transit rides were often seen as opportunities to disengage from others. We discuss how location-based technologies can be designed to display factual community information before, during, and at the end of transit commutes.
