Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use
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Updated: Nov 3, 2025

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
Kristoffer Geyer1, David A Ellis2, Heather Shaw1
1Department of Psychology, Lancaster University, Lancaster, UK.
Abstract:
Psychological science has spent many years attempting to understand the impact of new technology on people and society. However, the frequent use of self-report methods to quantify patterns of usage struggle to capture subtle nuances of human-computer interaction. This has become particularly problematic for devices like smartphones that are used frequently and for a variety of purposes. While commercial apps can provide an element of objectivity, these are 'closed' and cannot be adapted to deliver a researcher-focused 'open' platform that allows for straightforward replication. Therefore, we have developed an Android app that provides accurate, highly detailed, and customizable accounts of smartphone usage without compromising participants' privacy. Further recommendations and code are provided to assist with data analysis. All source code, materials, and data are freely available (see links in supplementary materials section).
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