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THE EMERGING HUMAN-DATA INTERACTION IN UX RESEARCH FIELD

RAZMI, FATEMEH


Type:
Year:
2019
Editor:
Bohemia, Erik; Kovacevic, Ahmed; Buck, Lyndon; Brisco, Ross; Evans, Dorothy; Grierson, Hilary; Ion, William; Whitfield, Robert Ian
Author:
Series:
E&PDE
Institution:
Oslo metropolitan university, Norway
Section:
Changing Innovation Landscapes 3
DOI number:
ISBN:
978-1-912254-05-7
Abstract:
In this era the extensiveness of data collection methods in user experience design is indeed undeniable due to the swiftly evolving contexts associated with users’ personal data. This creates a new discipline in UX research field which gives opportunities to designers to do UX research in innovative ways based on data concepts; one of these main concepts is called big data, the data that is collected from a user by all types of companies and as its name suggests, it is some kind of data that cannot be easily processed because of its wideness, however when this huge portion of information is somehow refined, it is the time for designers to play their leading role to offer user-centred solutions based on the reports they got from big data. In the field of UX; one of the main responsibilities of a designer is to predict the future of products and services and also to help users have access to their desired goods or services even before they think that they might need them; Hence this paper will disclose how big data can benefit UX design research methods to change the nature of data information to human data interactions that can support the proposed UX solution.
Keywords:

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