Smartphones

By Mika Raento, Antti Oulasvirta, Nathan Eagle. 2009

430 citations recorded by the source corpus.

Subfields: Communication, Sociology and Political Science, Transportation

View Paper: https://www.semanticscholar.org/paper/4717ed0fc6f23b963379ea44658277428b4953ce

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

In Sociology and Political Science

In Transportation

Citations in the corpus

Dependency on smartphone and the impact on purchase behaviour (2011, background): “Pressure from society and escalating technological advances have made smartphones a necessity within a social community (Raento et al., 2009).”
The Smartphone Psychology Manifesto (2012, background): “The example above gives a rosy picture of smartphone research, but smartphones have some important limitations as research platforms (Raento et al., 2009).”
Using mobile phone diaries to explore children’s everyday lives (2012, methodology): “For instance, Raento et al. (2009) describe a study of teenagers’ movements with automatic data logging by location awareness software and, in a forerunner of the approach described here, Mikkelsen and Christensen (2009) used GPS (global positioning system) tracking combined with a questionnaire by…”
Acceptance and adoption of the innovative use of smartphone (2007, background): “With calling capabilities, smartphones provide doctors and nurses access to e-mail and the web for research and communication, and allow them to work with patient records as well as word-processing and presentation documents for professional research and collaboration (Kirschner and Powell, 2005).”
Towards rich mobile phone datasets: Lausanne data collection campaign (2010, background): “Lazer et al. [2] refer to the capacity to collect and analyze vast amounts of socially grounded data as computational social science, drawing an analogy to the rise of cognitive sciences a few decades ago.”
Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015, background): “At the same time, the future likely holds the biggest scientific leaps forward in this domain given the surge in technical progress in smartphone and wearable sensing technologies (Chittaranjan, Blom, & Gatica-Perez, 2013; Lathia et al., 2013; Miller, 2012; Raento et al., 2009).”
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples (2018, background): “Thanks to the recent machine learning model innovation and computing hardware advancement, the past decade has witnessed unprecedented success of deep neural networks (DNNs) across many real world applications such as image recognition, natural language processing, anomaly detection, driver-less car”
Review of the Day Reconstruction Method (DRM) (2014, background): “Moreover, with the rise of smartphones it allows cost-effective unobtrusive access to information such as physical proximity among individuals and movement patterns (Raento et al. 2009).”
Smartphones usage in the classrooms: Learning aid or interference? (2017, background): “A smartphone is a powerful handheld computer with an intrinsic connection mobile networks (Davies 2015; Rouse 2015; Anshari and Alas 2015).”