Trends in Assistive Technologies and Digital

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Trends in Assistive Technologies and Digital

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Trends in Assistive Technologies and Digital Accessibility Alireza Darvishy ICT Accessibility Lab, Zurich University of Applied Sciences Sept. 15, 2017

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Overview

• • • •

Introduction State of the Art Future trends in assistive technologies Final remarks

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Introduction

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History VersaBraille (1982) First refreshable Braille display

Outspoken (1989) First screen reader for graphical user interfaces

Web access for the blind (WAB) (1996) ETH project

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Assistive technologies (AT) • Built-in assistive technologies in mainstream products • Specialized devices

• ATs for primary users • ATs for secondary users

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ICT Accessibility Lab National and international competence center on ICT accessibility Research and Development

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• Accessible education (funded by Hasler Foundation 2008) • web and document accessibility • Automatic sign language translation

Training

• CAS in accessible web design, PDF accessibility • Word and PowerPoint accessibility

Services

• Tactile printing • Graphs, text (3D) • Swisscom

Accessible Education • PAVE • Microsoft Accessibility Plugins

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Awards

2014: PAVE ICCHP

2006: Credit Suisse Award

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2009: Biene Award

2016: UNESCO Prize for Digital Empowerment of Persons with Disabilities

State of the art

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AT for mobility impairments • • • • • •

Mechanical switches Sip-and-puff switches Surface-electromyography (SEMG) Video-based gesture recognition Eye-tracking Audio input

wait

wait

switch

wait

switch Output: H

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AT for mobility impairments Tobii (eye tracking)

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AT for mobility impairments Wheelmap

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AT for vision impairments

Demo VoiceOver (iPhone)

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AT for vision impairments Aipoly Vision

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AT for hearing impairments Oticon Opn

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• •

Internet of Things Machine learning

AT for speech impairments Talkitt

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Future trends in assistive technologies

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Scenario 1.1: Vision impairment MIT: Wearable navigator

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Scenario 1.2: Vision impairment Microsoft Smart Sunglasses

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Scenario 1.3: Vision impairment BlindPad

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Scenario 2.1: Hearing impairment AI Lip Reader (artificial intelligence)

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Scenario 2.2: Hearing impairment

SignAloud (artificial intelligence)

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Scenario 3.1: Mobility impairment Brain-Computer Interface

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Scenario 3.2: Mobility impairment Self-driving wheelchair

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New Technologies Google Tango

Microsoft Hololens

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Google Home

Amazon Echo

Final remarks

• • • •

Don‘t reduce PWDs to their disabilities Consider PWDs as equal counterparts Practice Universal Design Involve PWDS from the beginning in accessibility projects • Collaborate with experts in digital accessibility and assistive technologies

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Contact

Alireza Darvishy ICT Accessibility Lab Web: http://accessibility.zhaw.ch/ E-mail: [email protected] PAVE: http://www.pave-pdf.org/

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Thank you!

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