Human-centered computing in international development

SAMBASIVAN, Nithya, HO, Melissa, KAM, Matthew, KODAGODA, Neesha, DRAY, Susan, THOMAS, John C, LIGHT, Ann and TOYAMA, Kentaro (2009). Human-centered computing in international development. In: OLSEN, Dan R, (ed.) CH EA '09 : Proceedings of the 27th international conference extended abstracts on Human factors in computing systems. New York, ACM, 4745-4750.

Full text not available from this repository.
Link to published version:: https://doi.org/10.1145/1520340.1520731
Related URLs:

Abstract

This workshop continues the dialog on exploring the challenges in applying, extending, and inventing appropriate methods and contributions of Humancentered Computing (HCC) to International economic and community development, borne out of tremendously successful HCI4D workshops at CHI 2007 and 2008. The workshop aims at 1) providing a platform to discuss interaction design practices that allow for meaningful embedding of interactive systems in the cultural, infrastructural, and political settings where they will be used 2) addressing interaction design issues in developing regions, as well as areas in the developed world marginalized by poverty or other barriers. We hope to continue to extend the boundaries of the field of Humancentered Computing (HCC) by spurring on more discussion on how existing methods and practices can be adapted/ modified, and how new practices be developed, to combat the unique challenges posed by this context.

Item Type: Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number: https://doi.org/10.1145/1520340.1520731
Page Range: 4745-4750
Depositing User: Hilary Ridgway
Date Deposited: 17 May 2011 09:16
Last Modified: 18 Mar 2021 09:00
URI: https://shura.shu.ac.uk/id/eprint/3630

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics