University of Oulu

Jorge Goncalves, Hannu Kukka, Iván Sánchez, and Vassilis Kostakos. 2016. Crowdsourcing Queue Estimations in Situ. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, New York, NY, USA, 1040-1051. DOI: https://doi.org/10.1145/2818048.2819997

Crowdsourcing queue estimations in situ

Saved in:
Author: Goncalves, Jorge1; Kukka, Hannu2; Sánchez, Iván3;
Organizations: 1Community Imaging Group, University of Oulu, Finland
2Urban Computing and Cultures Group, University of Oulu, Finland
3Interactive Spaces Group, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe201901212613
Language: English
Published: Association for Computing Machinery, 2016
Publish Date: 2019-01-21
Description:

Abstract

We present the development and evaluation of a situated crowdsourcing mechanism that estimates queue length in real time. The system relies on public interactive kiosks to collect human estimations about their queue waiting time. The system has been designed as a standalone tool that can be retrospectively embedded in a variety of locations without interfacing with billing or customer systems. An initial study was conducted in order to determine whether people who just joined the queue would differ in their estimates from people who were at the front of the queue. We then present our system’s evaluation in four different restaurants over 19 weekdays. Our analysis shows how our system is perceived by users, and we develop 2 ways to optimise the waiting time estimation: by correcting the estimations based on the position of the input mechanism, and by changing the sliding window considered inputs to provide better prediction. Our analysis shows that approximately 7% of restaurant customers provided estimations, but even so our system can provide predictions with up to 2 minute mean absolute error.

see all

ISBN: 978-1-4503-3592-8
Pages: 1040 - 1051
DOI: 10.1145/2818048.2819997
OADOI: https://oadoi.org/10.1145/2818048.2819997
Host publication: CSCW '16 Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing : San Francisco, California, USA — February 27 - March 02, 2016
Conference: Acm conference on computer-supported cooperative work and social computing
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work is partially funded by the Academy of Finland (Grants 276786-AWARE, 285062-iCYCLE, 286386-CPDSS, 285459-iSCIENCE), and the European Commission (Grants PCIG11-GA-2012-322138 and 645706-GRAGE).
EU Grant Number: (645706) GRAGE - Grey and green in Europe: elderly living in urban areas
(322138) URBANMOB - Modelling Urban Mobility in City-Scale Ubiquitous Systems
Academy of Finland Grant Number: 276786
285062
286386
285459
Detailed Information: 276786 (Academy of Finland Funding decision)
285062 (Academy of Finland Funding decision)
286386 (Academy of Finland Funding decision)
285459 (Academy of Finland Funding decision)
Copyright information: © Copyright is held by the owner/author(s). Publication rights licensed to ACM. 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16), http://dx.doi.org/10.1145/2818048.2819997.