Looking professional: How women decide what to wear with and through automated technologies

Autor: Sheba Mohammid, Cherry Baylosis, Heather A. Horst
Rok vydání: 2021
Předmět:
Zdroj: Convergence: The International Journal of Research into New Media Technologies. 27:1250-1263
ISSN: 1748-7382
1354-8565
Popis: From innovations such as virtual fit through 3D body scanning, smart clothes, wearable technology and virtual styling assistants to more mundane capabilities such as digital photography and social media, deciding what to wear and how to wear an item is now accompanied by a range of new information and perspectives. This article examines the sociotechnical systems that support everyday decisions about what to wear, and how this decision-making process is being re-imagined in response to technology. Drawing upon closet ethnographies with women in the USA and Australia, we focus upon the ways in which women make decisions about what will help them to ‘look professional’. Specifically, we attend to two key dimensions of the decision-making process – visions and validations – to understand the ways in which women weigh the opinion of other people, media and technologies, and the real and imagined role of how new technologies such as the Amazon Echo Look may be integrated into this process. Through fine-grained analysis of the ways that women receive, reject or ignore information about their performance of looking professional, we reflect upon the relative importance of different technologies in the process of decision-making.
Databáze: OpenAIRE