Related Experiment Video
Updated: Sep 5, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Exploring proximity-based recommendation criteria as a tool for information exchange and interactions between locals
Chiara Ceccarini1, Valentina Nisi2,3, Catia Prandi1,3
1Department of Computer Science and Engineering, University of Bologna, Bologna, Italy.
Abstract:
Sharing economy and contemporary tourism are two emerging concepts that urge to be investigated together with new ubiquitous and immersive technologies, in the tourism and hospitality sector. In this rich scenario, we designed and implemented ShareCities, a platform to foster remote direct information exchange and meaningful interactions among tourists and locals. Exploiting ShareCities we here present an extended analysis on the opportunity to use people-to-people recommendation criteria based on proximity. We hence defined three criteria which drove our analysis: i) profile similarity, ii) geographical proximity, and iii) random exploration. Through an online questionnaire, we collect answers from 126 young-adult students, obtaining a general positive interest in the three criteria but also concerns in terms of privacy, trust, and feeling of disorientation.
Related Concept Videos
Relationship Formation
Factorial Design
Selected Data About Geographic Locations
Local Attraction
Social Exchange Theory
In- and Out-Groups

