@inproceedings{d6c57059a10d4b6588565469f6cc8dad,
title = "Speed dating and self-image: Revisiting old data with New Eyes",
abstract = "In this paper we perform a variety of analytical techniques on a speed dating dataset collected from 2002–2004. There have previously been papers published analyzing this dataset however we have focused on a previously unexplored area of the data; that of self-image and self-perception. We have evaluated whether the decision to meet again or not following a date can be predicted to any degree of certainty when focusing only on the self-ratings and partner ratings from the event. Further to this we have examined how the decisions received after the session can affect the stability of one{\textquoteright}s self-image over time. We also performed some general exploratory analysis of this dataset in the area of self-image and self-perception; evaluating the importance of these attributes in the grand scheme of attaining a positive result from a 4 min date.",
keywords = "ANOVA, Attractiveness attribute, Logistic regression, Random forest, Regression tree, Speed dating",
author = "Eleonora Peruffo and Sofia Bobko and Brian Looney and Bernadette Murphy and Magie Hall and Quinn Nelson and Simon Caton",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 10th International Conference on Social Computing and Social Media, SCSM 2018 Held as Part of HCI International 2018 ; Conference date: 15-07-2018 Through 20-07-2018",
year = "2018",
doi = "10.1007/978-3-319-91485-5_22",
language = "English (US)",
isbn = "9783319914848",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "279--297",
editor = "Gabriele Meiselwitz",
booktitle = "Social Computing and Social Media. Technologies and Analytics - 10th International Conference, SCSM 2018, Held as Part of HCI International 2018, Proceedings",
}