Augmented self-regulation

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Abstract/Contents

Abstract
Research in interactive technology most often enables humans to enact more, better, or new behaviors or to gain greater or more efficient insight into our environment. This dissertation develops the notion that technology can also help us develop greater self-awareness. Self-awareness, made tangible and observable by physiological self- regulatory processes, rests at the core of the human experience by supporting comprehension, actions, and intentions in the world around us. Without it, our health and behavior are victims of demands from our sociocultural environments or of flippant or self-defeating patterns of thoughts. This dissertation explores and evaluates methods of using wearable sensors and interactive feedback to augment human self-regulation, specifically respiratory self- regulation, primarily during information work but also in mobile contexts. This is a potentially powerful means of not only influencing health and behavior but also developing an inner sense of wellness independent of one's physiological, cognitive, or affective state. The over-arching contribution of this dissertation is to demonstrate the view that computers will have a more direct and pervasive impact on human psychophysiology than is currently practiced. Rather than strictly adapting to human physiological and affective state, future machines will explicitly induce changes in psychophysiological state to amplify their user's innate self-regulatory ability and skill. In this way, machines of the future will help humans be 'more human' rather than simply adding or enhancing existing human abilities.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2012
Issuance monographic
Language English

Creators/Contributors

Associated with Moraveji, Neema Mortazavi
Associated with Stanford University, School of Education.
Primary advisor Obradović, Jelena
Primary advisor Pea, Roy D
Thesis advisor Obradović, Jelena
Thesis advisor Pea, Roy D
Thesis advisor Heer, Jeffrey Michael
Advisor Heer, Jeffrey Michael

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Neema Moraveji.
Note Submitted to the School of Education.
Thesis Thesis (Ph.D.)--Stanford University, 2012.
Location electronic resource

Access conditions

Copyright
© 2012 by Neema Mortazavi Moraveji
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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