Abstract
This article introduces an interdisciplinary collaboration that brings together sympathetic trends in qualitative geographic visualization (from the perspective of one author who is a geographer) and contemporary generative artistic practices (from the perspective of the other author, who is an artist and theorist)—attempting to represent a diverse array of creative and multi-modal data through generative and participatory digital methods. We present how this convergence expands categories of meaning, allowing us to explore experiential/embodied as well as creative/imaginative engagements with everyday geographies distinct to a digital age. The article mediates on the idea of mapping the imagination and the ways we imagine quotidian spaces, as well as possibilities for new methods for the analysis and representation of spatial and emotional complexity. We particularly explore strategies of integrating multiple technologies and multiple-modes of representation for mapping and re-mapping complexities of social and creative living in order to help provide alternate ways to imagine, represent and engage different forms of embodied and imaginative geographies. This article presents a case study with the artist Andrew Buckles, in Seattle, Washington, correlating representational and participatory digital data including geospatial, temporal, audio, video as well as electroencephalography readings from brainwave sensors.
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Notes
We consider Andrew not only as the subject of the research but also as an active co-contributor to the project.
In the case of Orientalism Said’s notion of imaginative geography is applied to the term ‘Orient.’ For Said the Orient is a European invention “the main thing for the European (coming to the Orient) was a European invention representation of the orient and its contemporary fate, in a way to satisfy special western interest through out the last 300 years.” (Said 1979, 1).
Neurosky recently developed a software called MindRDR, an app that allows Google Glass to connect with the Mindwave Mobile EEG biosensor using Bluetooth technology. They claim that it is capable of detecting brain wave and controlling a device just by thinking (Rodriguez 2014).
Recent neuroscience and cognitive research has increased knowledge about the brain and the electrical signals emitted in the brain, providing a general synopsis of common brainwave frequency ranges correlated to different types of activities in the brain: δ (Delta Waves, 0–3 Hz) for deep, dreamless sleep and unconsciousness; θ (Theta Waves, 4–7 Hz) for creativity, spontaneity, imaginary, and day dream; α (Alpha Waves, 8–12 Hz) for relaxed, tranquil, and conscious moment; β (Beta Waves, 13–30 Hz) for relaxed yet focused, thinking, and aware of self and surroundings; γ (Gamma Waves, 31–50 Hz) for high mental activity and perception and learning. Information about brainwaves types is from the Neurosky Research Tools (http://www.neurosky.com), Brain and Health (http://brainandhealth.com/Brain-Waves.html), and Brainworks (www.brainworksneurotherapu.com).
There was a moment when we realized that we are working with a type of Big Data. The Neurosky device records 500 brainwave data points per second. We are consequently dealing with about 1 million points of data for the visualization of a 30-min interview.
Buckles even changed his posture learning toward the camera when he was asked about this question.
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Acknowledgments
We would like to thank our co-contributor, Andrew Buckles for his participation in this project. We are also grateful for the insightful comments and guidance from Sarah Elwood, the editor, and anonymous reviewers. This project has been supported by the Simpson Center for the Humanities & the Worthington Fellowship Program at University of Washington.
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Jung, JK., Hiebert, T. Imag(in)ing Everyday Geographies: A case study of Andrew Buckles’ Why Wait? Project. GeoJournal 81, 597–614 (2016). https://doi.org/10.1007/s10708-015-9638-2
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DOI: https://doi.org/10.1007/s10708-015-9638-2