Intelligent wardrobe: using mobile devices, recommender systems and social networks to advise on clothing choice

Etebari, Dina (2014). Intelligent wardrobe: using mobile devices, recommender systems and social networks to advise on clothing choice. University of Birmingham. M.Phil.

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Abstract

This project considers ways in which combinations of technologies can be brought together to help users decide ‘what to wear’. This sees the choice of clothes, either in a shop or at home as a form of everyday decision-making which could be supported by a variety of decision-support systems. It might be expected that choosing clothes does not require support or guidance. However, the popularity of television programs that provide advice on what (not) to wear suggests that there is an interest in such guidance. Besides, the fact that some people like to buy clothes with friends in order to use their advice suggests that the process of buying cloths can be more complicated than simply walking into a shop and buying the first thing that comes to hand. Alternatively, the decision-making process might not be complex, so much as ambiguous, and this ambiguity might require some social support to assist the person. Furthermore, people might possess a large number of clothes that they keep in their wardrobe. Some of these clothes might be out of style, some might no longer fit the person and the purchase of new clothes could also be regarded as a process of ‘updating’ the wardrobe.

Type of Work:

Thesis (Masters by Research > M.Phil.)

Award Type:

Masters by Research > M.Phil.

Supervisor(s):