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## Learning Goals
- Sources of Bias in AI based systems
- Applications of AI for Accessibility
- How do you make sure your *accessibility technology is valued* by people with disabilities
- What are potential data sources for assessing value
- Collaboration Versus Paternalism
- Overly narrow views of disability: Multiple disabled people & multiply disabled people
## Lecture Plan
@@ -282,9 +286,9 @@ Finish making laser cuttable designs and print
- [Areas of Strategic Visibility: Disability Bias in Biometrics](https://arxiv.org/abs/2208.04712 - [Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning](https://www.cs.purdue.edu/homes/bb/nit/Lalana-Explainations%20of%20IAS.pdf)
- [Increasing Data Equity in Accessibility](https://arxiv.org/abs/2210.01902)
- **If you want to go deeper**
- [The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytic, Policy, and Tools](https://dl.acm.org/doi/fullHtml/10.1145/3517428.3550402)
- [Difficulty Vs Accessibility](https://www.youtube.com/watch?v=sPehhHZvKE8&list=PLVEo4bPIUOskja9pfpqceY8qDrykFdubf&index=18)
**Wednesday Slides** {% include slide.html title="Designing for and with people with disabilities" loc="designing.html" %}
**Wednesday Slides** {% include slide.html title="Designing for and with people with disabilities" loc="designing.html" %}; also Discussion of Final Project
{: .homework} [Final Project Proposal](assignments/project-proposals.html) Assigned: Prepare your final project proposal (individual)
:
@@ -296,154 +300,86 @@ Finish making laser cuttable designs and print
{: .holiday}
{: .week}
{% enddetails %}
# Module 3: Everything Everywhere All at Once
{: .draft}
# Everything after this is draft
{% details draft content %}
{: .week}
# Week 7 (11/6 - 11/10): Accessible Visualizations & AR/VR
{% details Learning Goals and Class Plan %}
Bias in Machine Learning
- What is Machine Learning (ML)?
- What are the components of ML?
- How do we collect data? Who do we collect the data from?
- Is the data "good"?
- How do we minimize disability bias?
Accessible Data Visualizations
- What are the commonly-used techniques to make data visualizations accessible?
- What are the pros and cons of these techniques?
- What are some of the nuances in making data visualizations accessible?
Learn about how to make AR/VR interfaces and games accessible
**Monday Slides** {% include slide.html title="Data Equity" loc="bias-in-machine-learning.html" %}
{: .homework} Required Reading and Reflection (for Wednesday)
:
- **Required: Respond to the Reading Questions and Preparation Requirements.**
- [Areas of Strategic Visibility: Disability Bias in Biometrics](https://arxiv.org/abs/2208.04712 - [Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning](https://www.cs.purdue.edu/homes/bb/nit/Lalana-Explainations%20of%20IAS.pdf)
- [Increasing Data Equity in Accessibility](https://arxiv.org/abs/2210.01902)
- **If you want to go deeper**
- [A systematic literature review of handheld augmented reality solutions for people with disabilities](https://www.mdpi.com/1424-8220/22/20/7719)
- [Understanding Screen-Reader Users’ Experiences with Online Data Visualizations](https://athersharif.me/documents/assets-2021-understanding-sru-experiences-online-data-viz.pdf) [**Respond**](TBD)
- [Data Representation in Accessibility Data Sets: A Meta-analysis](https://arxiv.org/abs/2207.08037) [**Respond**](TBD)
- [The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytic, Policy, and Tools](https://dl.acm.org/doi/fullHtml/10.1145/3517428.3550402)
- [Rich Screen Reader Experiences for Accessible Data Visualization](https://arxiv.org/pdf/2205.04917.pdf)
- [VoxLens: Making Online Data Visualizations Accessible With an Interactive JavaScript Plug-In](https://athersharif.me/documents/chi-2022-voxlens.pdf)
{% enddetails %}
{% details Wednesday 11/1: AR/VR Accessibility %}
**Slides** {% include slide.html title="AR/VR Accessibility" loc="arvr.html" %}
**Friday Slides** {% include slide.html title="Designing for and with people with disabilities" loc="designing.html" %}
{: .homework} [Technology Review](assignments/technology-implementation.html) Assigned: Make something (post-gui) more accessible
:
{% enddetails %}
{% details Thursday: Section %}
Practice with making data accessible
{% enddetails %}
## Friday 11/10: HOLIDAY
{: .holiday}
{: .week}
{: .module}
# Module 3: Everything Everywhere All at Once
{: .week}
{: .homework} [Final Project Proposal](assignments/project-proposals.html) Assigned: Prepare your final project proposal (individual)
:
# Week 8 (11/13-11/17): Chronic Illness & Sustainability
{% details Learning Goals %}
- How to assess whether a technology is accessible; and whether an accessibility technology is useful and usable, in an inclusive fashion.
- How do you make sure your *product is accessible* to people with disabilities
1. Data Equity and implicit bias
2. Beyond automated assessment: Accessible Summative Studies
3. Importance of Intersectionality
# Week 8 (11/13-11/17): Sustainability & Games
{% details Learning Goals & Plan %}
## Learning Goals
- How do you make sure your *accessibility technology is valued* by people with disabilities
- What are potential data sources for assessing value
- Collaboration Versus Paternalism
- Overly narrow views of disability: Multiple disabled people & multiply disabled people
{% enddetails %}
- Accessibility and Sustainaibility
- Disaster response and Access
- Governmentalitiy and Access
- Information Economy and Access
- Accessibility in Games: Why inclusion in eSports matters and how to get there
## Lecture Plan
{% details Monday 11/13: Group Formation %}
**Monday**: Group Formation & Feedback Opportunities
In class exercise to form final project groups
**Wednesday** {% include slide.html title="Sustainability" loc="sustainability.html" %}
{: .homework} Required Reading and Reflection (for Wednesday)
:
- **Required: Respond to the Reading Questions and Preparation Requirements on Ed**. There is only one Ed post you need to make this week in response to either or both assigned readings. [Please post your response in this Ed thread]({site.discussion}/2649283)
- [Difficulty Vs Accessibility](https://www.youtube.com/watch?v=sPehhHZvKE8&list=PLVEo4bPIUOskja9pfpqceY8qDrykFdubf&index=18)
- [My Disability Is Dynamic](https://medium.com/age-of-awareness/my-disability-is-dynamic-bc2a619fcc1)
- **If you want to dig deeper**
- [Considerations for HCI accessibility practices with chronically ill people](https://dl.acm.org/doi/abs/10.1145/3517428.3544803)
{% enddetails %}
{% details Wednesday 11/15: Chronic Illness and Accessibility %}
**Slides** TBD
{: .homework} [Group Project Checkpoint](assignments/project-checkpoint.html) Assigned: Group Project Checkpoint
:
{: .homework} [Final Project Handin](assignments/project-final.html)
:
{% enddetails %}
{% details Thursday: Section %}
**Thursday**: Section
Work in groups on final projects
{% enddetails %}
{% details Friday 11/17: Sustainability %}
**Friday**: Esports and Games
**Slides** {% include slide.html title="Sustainability" loc="sustainability.html" %}
{% enddetails %}
{: .week}
# Week 9 (11/20-11/24): Group Checkpoints (Full Group Required)
{% details Group Checkin Plan %}
Sign up for a meeting slot *with your whole group* (details to be announced; slots will overlap class but also extend beyond class hours)
## Thursday 11/23 and Friday 11/24: HOLIDAY
{: .holiday}
{: .week}
# Week 10 (12/4--12/8): 1:1 Project Meetings / TBD
{% details Learning Goals: STILL TBD %}
TBD
{% enddetails %}
# Week 10 (12/4--12/8): Accessible Visualization ++
{% details Learning Goals & Plan %}
## Learning Goals
Accessible Data Visualizations
- What are the commonly-used techniques to make data visualizations accessible?
- What are the pros and cons of these techniques?
- What are some of the nuances in making data visualizations accessible?
Input from you on what to cover!
**Monday** possible guest lecture from Richard Ladner
{: .homework} Required Reading and Reflection (for Wednesday)
:
- **Required: Respond to the Reading Questions and Preparation Requirements.**
- [Increasing Data Equity in Accessibility](https://arxiv.org/abs/2210.01902)
- **If you want to go deeper**
- [Understanding Screen-Reader Users’ Experiences with Online Data Visualizations](https://athersharif.me/documents/assets-2021-understanding-sru-experiences-online-data-viz.pdf) [**Respond**](TBD)
- [Data Representation in Accessibility Data Sets: A Meta-analysis](https://arxiv.org/abs/2207.08037) [**Respond**](TBD)
- [Rich Screen Reader Experiences for Accessible Data Visualization](https://arxiv.org/pdf/2205.04917.pdf)
- [VoxLens: Making Online Data Visualizations Accessible With an Interactive JavaScript Plug-In](https://athersharif.me/documents/chi-2022-voxlens.pdf)
**Wednesday** Accessible Data Visualizations
**Friday** AMA/TBD
{% details Monday: Richard Ladner guest lecture %}
{% enddetails %}
{: .week}
@@ -454,7 +390,9 @@ TBD
# Unused Reading and Ideas
{: .week}
{% details Unused Reading and Ideas %}
{% details some additional readings and slides to possibly use %}
- Physical computing slides
- [Crippin' Jim Crow](https://drive.google.com/file/d/1QaRu4T3aax6jg73quHKgpfwJe3nQ4PEv/view?usp=share_link)
@@ -466,22 +404,30 @@ TBD
- [Disability Studies as a source of critical inquiry...](https://make4all.org/wp-content/uploads/2019/10/MankoffAssets2010.pdf)
- [Vital coronavirus is failing the blind and visually impaired](https://www.vice.com/en/article/4ag9wb/vital-coronavirus-information-is-failing-the-blind-and-visually-impaired)
- [Blurring the Boundaries Between Assistive Tech and Companionship](https://www.forbes.com/sites/gusalexiou/2021/01/26/amazon-alexa---blurring-the-boundaries-between-assistive-tech-and-companionship/?sh=2821499375e7) (a little too salesy)
- [The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytic, Policy, and Tools](https://dl.acm.org/doi/fullHtml/10.1145/3517428.3550402)
- [My Disability Is Dynamic](https://medium.com/age-of-awareness/my-disability-is-dynamic-bc2a619fcc1)
- [Considerations for HCI accessibility practices with chronically ill people](https://dl.acm.org/doi/abs/10.1145/3517428.3544803)
- [Areas of Strategic Visibility: Disability Bias in Biometrics](https://arxiv.org/abs/2208.04712) - [Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning](https://www.cs.purdue.edu/homes/bb/nit/Lalana-Explainations%20of%20IAS.pdf)
- [A systematic literature review of handheld augmented reality solutions for people with disabilities](https://www.mdpi.com/1424-8220/22/20/7719)
- [The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytic, Policy, and Tools](https://dl.acm.org/doi/fullHtml/10.1145/3517428.3550402)
{% enddetails %}
{% details slides not in use %}
**Slides** {% include slide.html title="Assessing Accessibility" loc="physical-computing.html" %}
{% enddetails %}
**Slides** {% include slide.html title="AR/VR Accessibility" loc="arvr.html" %}
{% details topics not covered %}
- AR/VR
- Video conferencing
- Large gatherings (virtual or hybrid)
- Online text based support groups
- Social networks such as twitter or facebook
- Crowdsourcing )
- Crowdsourcing
- Chronic Illness
{% enddetails %}
{% enddetails %}
{% enddetails %}