CORE
CO
nnecting
RE
positories
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Research partnership
About
About
About us
Our mission
Team
Blog
FAQs
Contact us
Community governance
Governance
Advisory Board
Board of supporters
Research network
Innovations
Our research
Labs
Manual engagement and automation in amateur photography
Authors
Andrews G
Bourdieu P
+11 more
Burgess JE
Cartier-Bresson H
Chalfen R
Manovich L
Marien MW
Miles MB
Pye D
Schwartz D
Sennett R
Sontag S
Stebbins RA
Publication date
1 January 2018
Publisher
'SAGE Publications'
Doi
Abstract
© 2017, © The Author(s) 2017. Automation has been central to the development of modern photography and, in the age of digital and smartphone photography, now largely defines everyday experience of the photographic process. In this article, we question the acceptance of automation as the default position for photography, arguing that discussions of automation need to move beyond binary concerns of whether to automate or not and, instead, to consider what is being automated and the degree of automation couched within the particularities of people’s practices. We base this upon findings from ethnographic fieldwork with people engaging manually with film-based photography. While automation liberates people from having to interact with various processes of photography, participants in our study reported a greater sense of control, richer experiences and opportunities for experimentation when they were able to engage manually with photographic processes
Similar works
Full text
Available Versions
Name not available
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:eprints.qut.edu.au:114340
Last time updated on 08/02/2018
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1177%2F1329878x177...
Last time updated on 23/06/2021
OPUS - University of Technology Sydney
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:opus.lib.uts.edu.au:10453/...
Last time updated on 18/10/2019