Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science

Younis, E.M.G. ORCID: 0000-0003-2778-4231, Kanjo, E. ORCID: 0000-0002-1720-0661 and Chamberlain, A., 2019. Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science. Personal and Ubiquitous Computing. ISSN 1617-4909

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Abstract

In recent years, mobile phone technology has taken tremendous leaps and bounds to enable all types of sensing applications and interaction methods, including mobile journaling and self-reporting to add metadata and to label sensor data streams. Mobile self-report techniques are used to record user ratings of their experiences during structured studies, instead of traditional paper-based surveys. These techniques can be timely and convenient when data are collected "in the wild". This paper proposes three new viable methods for mobile self-reporting projects and in real-life settings such as recording weather information or urban noise mapping. These techniques are Volume Buttons control, NFC-on-Body, and NFC-on-Wall. This work also provides an experimental and comparative analysis of various self-report techniques regarding user preferences and submission rates based on a series of user experiments. The statistical analysis of our data showed that pressing screen buttons and screen touch allowed for higher labelling rates, while Volume Buttons proved to be more valuable when users engaged in other activities, e.g. while walking. Similarly, based on participants’ preferences, we found that NFC labelling was also an easy and intuitive technique when used in the context of self-reporting and place-tagging. Our hope is that by reviewing current self-reporting interfaces and user requirements, we will be able to enable new forms of self-reporting technologies that were not possible before.

Item Type: Journal article
Publication Title: Personal and Ubiquitous Computing
Creators: Younis, E.M.G., Kanjo, E. and Chamberlain, A.
Publisher: Springer Nature
Date: 29 March 2019
ISSN: 1617-4909
Identifiers:
NumberType
10.1007/s00779-019-01207-2DOI
1207Publisher Item Identifier
Rights: © The Author(s) 2019. Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Divisions: Schools > School of Science and Technology
Depositing User: Jill Tomkinson
Date Added: 08 Apr 2019 13:16
Last Modified: 09 Apr 2019 10:12
URI: http://irep.ntu.ac.uk/id/eprint/36207

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