Morphic: Auto-Personalization on a Global Scale

要旨

Users frequently have trouble finding and changing technology settings, even when adjusting those settings to personalize their technology devices may significantly improve their user experience. This paper describes the Morphic project, a cloud-based auto-personalization tool. Primarily designed for improving accessibility, the auto-personalization in Morphic may also help a broader audience. This paper describes: 1) the technical infrastructure needed to support cloud-based auto-personalization, 2) the interaction design approaches necessary to support users during the personalization of their settings, and 3) which settings and modifications have been most frequently used. This paper presents the evolution of the Morphic project, the building of the infrastructure, the formative evaluation of various interaction design approaches (NFC cards, physical keypads, on-screen buttons, and menus), and implications for researchers and developers. It also includes preliminary findings from six technology probes.

キーワード
Accessibility
auto-personalization
universal usability
shared devices
public computing
users with disabilities
screen reader
screen magnification
internationalization
著者
Gregg Vanderheiden
University of Maryland, College Park, MD, USA
Jonathan Lazar
University of Maryland, College Park, MD, USA
J. Bern Jordan
University of Maryland, College Park, MD, USA
Yao Ding
University of Maryland, College Park, MD, USA
Rachel E. Wood
University of Maryland, College Park, MD, USA
DOI

10.1145/3313831.3376204

論文URL

https://doi.org/10.1145/3313831.3376204

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Understanding & designing for accessibility

Paper session
316B MAUI
5 件の発表
2020-04-30 20:00:00
2020-04-30 21:15:00
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