From The Shortest Path to Happiness: Recommending Beautiful, Quiet, and Happy Routes in the City by Daniele Quercia, Rossano Schifanella, and Luca Maria Aiello, four routes from Euston Square to Tate Modern prioritised by shortness, beauty, quiet, and happiness.
To meet our research goal, we make three main contributions:
- We build a graph whose nodes are locations and whose edges connect geographic neighbors (§3.1). With this graph, we rank locations based on whether they are emotionally pleasant. The emotion scores come from a crowd-sourcing platform that shows two street scenes in London (out of hundreds), and a user votes on which one looks more beautiful, quiet, and happy (§3.2).
- We quantitatively validate the extent to which our pro- posal recommends paths that are not only short but also emotionally-pleasing (§4). We then qualitatively evaluate the recommendations by conducting a user study involving 30 participants in London.
- We finally test the generalizability of our proposal by: a) presenting a way of predicting the beauty scores from Flickr metadata; and b) testing the beauty-deri- ved paths with our 30 participants in London and with a new group of 54 participants in Boston (§5).
From the abstract:
Based on a quantitative validation, we find that, compared to the shortest routes, the recommended ones add just a few extra walking minutes and are indeed perceived to be more beautiful, quiet, and happy.