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Towards designing inclusion: insights from a user data collection study in China

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conference contribution
posted on 12.05.2020, 10:20 by Weining Ning, Hua Dong
User data has been identified as one of the important knowledge bases for inclusive design. In order to explore the influential factors that may affect the reliability of data and then build up a more effective and efficient data-collection framework, we carried out an experimental study to collect data from older people (aged 50~70) in China, which included users’ capability, psychological and socialcultural attributes. Users’ actual product interaction performance was also investigated. Three issues were discussed based on the outcome of data analyses: a) mood states have significant effects on respondent’s self-reporting results; b) compared with maximum settings, people may have a wider range of perceptions of “comfortable” settings and it is possible to predict the performance in a “comfortable ” setting based on “maximum” data; c) social-cultural variables, vision, hearing, dexterity, cognition and psychological characteristics can predict successful product interaction tasks at different levels by using multiple logistic regression analysis.

History

School

  • Design

Published in

Proceedings of DRS2016: Design + Research + Society - Future-Focused Thinking

Volume

8

Pages

3263-3278

Source

DRS2016: Design + Research + Society - Future-Focused Thinking

Publisher

Design Research Society

Version

VoR (Version of Record)

Publisher statement

This is an Open Access Article. It is published by Design Research Society under the Creative Commons Attribution-NonCommercial 4.0 International Licence (CC BY-NC). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc/4.0/

Publication date

2016-06-25

Copyright date

2016

ISBN

9781912294084

ISSN

2398-3132

Language

en

Editor(s)

P. Lloyd & E. Bohemia

Location

Brighton

Event dates

27th June 2016 - 30th June 2016

Depositor

Prof Hua Dong Deposit date: 11 May 2020

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