Self-Organizing Maps
Enriching Wayfinding Instructions with Local Landmarks
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
Evaluating automatically generated location-based stories for tourists
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Sentient City: Ubiquitous Computing, Architecture, and the Future of Urban Space
Sentient City: Ubiquitous Computing, Architecture, and the Future of Urban Space
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Filter Bubble: What the Internet Is Hiding from You
The Filter Bubble: What the Internet Is Hiding from You
Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models
ICPADS '11 Proceedings of the 2011 IEEE 17th International Conference on Parallel and Distributed Systems
Get lost: facilitating serendipitous exploration in location-sharing services
CHI '12 Extended Abstracts on Human Factors in Computing Systems
"get lost, GetLostBot!": annoying people by offering recommendations when they are not wanted
Proceedings of the 2012 RecSys workshop on Personalizing the local mobile experience
Techniques and applications for sentiment analysis
Communications of the ACM
The path is the reward: considering social networks to contribute to the pleasure of urban strolling
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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Navigation systems like Google Maps and TomTom are designed to generate the shortest and less time consuming path for the user to reach a certain destination from his origin location, not taking into account the user's actual walking experience. This paper investigates physical and digital urban navigation and describes a new approach by implementing common digital online methods of commenting and recommender systems into the physical world. Those methods are being translated into the urban environment, using Facebook voting data to generate an alternative to the shortest route in order to maximize the pleasure of an urban walk. Initial findings highlight the general importance of the walking experience to the public and suggest that implementing recommendations, based on social media voting systems, in route finding algorithms for mobile applications may enhance the pleasure of urban strolling. The testing of the system in a real world context together with collected feedback and the observations throughout the design process stimulate the discussions of wider issues.