| Literature DB >> 33867652 |
Byron Reeves1, Nilam Ram2, Thomas N Robinson1, James J Cummings3, C Lee Giles2, Jennifer Pan1, Agnese Chiatti2, M J Cho1, Katie Roehrick1, Xiao Yang2, Anupriya Gagneja1, Miriam Brinberg2, Daniel Muise1, Yingdan Lu1, Mufan Luo1, Andrew Fitzgerald1, Leo Yeykelis4,5.
Abstract
Digital experiences capture an increasingly large part of life, making them a preferred, if not required, method to describe and theorize about human behavior. Digital media also shape behavior by enabling people to switch between different content easily, and create unique threads of experiences that pass quickly through numerous information categories. Current methods of recording digital experiences provide only partial reconstructions of digital lives that weave - often within seconds - among multiple applications, locations, functions and media. We describe an end-to-end system for capturing and analyzing the "screenome" of life in media, i.e., the record of individual experiences represented as a sequence of screens that people view and interact with over time. The system includes software that collects screenshots, extracts text and images, and allows searching of a screenshot database. We discuss how the system can be used to elaborate current theories about psychological processing of technology, and suggest new theoretical questions that are enabled by multiple time scale analyses. Capabilities of the system are highlighted with eight research examples that analyze screens from adults who have generated data within the system. We end with a discussion of future uses, limitations, theory and privacy.Entities:
Keywords: Mobile; cognitive science; communication; internet use; personal tools; software development; visualization
Year: 2019 PMID: 33867652 PMCID: PMC8045984 DOI: 10.1080/07370024.2019.1578652
Source DB: PubMed Journal: Hum Comput Interact ISSN: 0737-0024 Impact factor: 4.750