Abstract

The pandemic increased disparities and exacerbated pre-existing inequalities. Attitudinal barriers and discrimination were also exacerbated by the pandemic effects. Some diversity conditions suffered more than others post-pandemic status because their needs were not embedded in the pandemic planning prior to COVID-19. Also, the pandemic effects underlined the importance of embedding Inclusion, Diversity, Equality and Accessibility strategies in complex contexts such as in healthcare systems. Therefore, the paper focuses on how improving inclusive attitudes through design for fighting discrimination and promoting diversity in society. However, traditional design for inclusion approaches does not provide instruments to address this aspect. Consequently, the paper embraces the Design for Inclusive Attitudes (DxIA) framework and explores the possibility to identify insights for the related design principles. Cases are reported according to an innovative framework for analysing them by matching types of interventions/policies, levels of change, individual identities in diversity, inclusion needs, design domains and design disciplines. Additionally, artificial intelligence (AI) platforms were used to provide interrogations on the DxIA aspects and inspire the identification of insights for the DxIA principles. As result, the paper presents the analysis of the cases and the text analysis of the interviews with the AI platforms. They were discussed by underlining seven insights that may serve as principles for the DxIA. Finally, the DxIA is discussed as promising for addressing the new emerging inclusion after-pandemic challenges.

Keywords

Design for Inclusive Attitudes, Inclusive Attitude, Design for Social Inclusion

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Conference Track

fullpapers

Share

COinS
 
Oct 9th, 9:00 AM

Changing perspective on social inclusion and design: exploring the concept of designing for inclusive attitudes

The pandemic increased disparities and exacerbated pre-existing inequalities. Attitudinal barriers and discrimination were also exacerbated by the pandemic effects. Some diversity conditions suffered more than others post-pandemic status because their needs were not embedded in the pandemic planning prior to COVID-19. Also, the pandemic effects underlined the importance of embedding Inclusion, Diversity, Equality and Accessibility strategies in complex contexts such as in healthcare systems. Therefore, the paper focuses on how improving inclusive attitudes through design for fighting discrimination and promoting diversity in society. However, traditional design for inclusion approaches does not provide instruments to address this aspect. Consequently, the paper embraces the Design for Inclusive Attitudes (DxIA) framework and explores the possibility to identify insights for the related design principles. Cases are reported according to an innovative framework for analysing them by matching types of interventions/policies, levels of change, individual identities in diversity, inclusion needs, design domains and design disciplines. Additionally, artificial intelligence (AI) platforms were used to provide interrogations on the DxIA aspects and inspire the identification of insights for the DxIA principles. As result, the paper presents the analysis of the cases and the text analysis of the interviews with the AI platforms. They were discussed by underlining seven insights that may serve as principles for the DxIA. Finally, the DxIA is discussed as promising for addressing the new emerging inclusion after-pandemic challenges.

 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.