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Commit e1721441 authored by Jennifer Mankoff's avatar Jennifer Mankoff
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update schedule to work around assets

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3 merge requests!12Accessibility website jen summer work,!9Q access 24 sp,!8Q access 24 sp
......@@ -242,41 +242,40 @@ Group work on Report
# Module 2: Post GUI Accessibility
{: .week}
# Week 5 (10/23 - 10/27): Fabrication & Data Equity
{% details Learning Goals %}
- Work with laser cutting to make accessible technology
- Learn about fabrication tools and techniques
# Week 5 (10/23 - 10/27): Accessible Needfinding and Evaluation
- 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?
{% 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
- 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 %}
{% details Monday 10/23: Introduction to Assessing Accessibility}
{% details Monday 10/23: What's the best way to Assess a Website?%}
**Slides** {% include slide.html title="Introduction to 3D Printing and Physical Computing" loc="3dprinting.html" %}
**Slides** {% include slide.html title="Assessing Accessibility" loc="evaluation.html" %}
{: .homework} Required Reading and Reflection (for Wednesday)
:
- **Required: Respond to the Reading Questions and Preparation Requirements.**
- [Consumer-Grade Fabrication and Its Potential to Revolutionize Accessibility](https://dl.acm.org/doi/10.1145/3339824), CACM 2019 and [**Respond**](TBD)
- [Areas of Strategic Visibility: Disability Bias in Biometrics](https://arxiv.org/abs/2208.04712) and [**Respond**](TBD)
- **If you want to go deeper**
- [Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning](https://www.cs.purdue.edu/homes/bb/nit/Lalana-Explainations%20of%20IAS.pdf)
- [Fairness issues in AI Systems that augment sensory abilities](https://arxiv.org/pdf/1908.07333.pdf)
- **Required Reading**
- Read [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=3bf833b75e7b) and Respond
- Read [How to do something good in the disability community if you're not disabled](https://www.forbes.com/sites/andrewpulrang/2020/12/16/how-to-do-something-good-in-the-disability-community-if-youre-not-disabled/?sh=21ef25c97d7f)
- **If you want to dig deeper**
- Read [Anticipate and Adjust](https://dl.acm.org/doi/abs/10.1145/3491102.3501882)
- Read [Accessibility came by accident](https://dl.acm.org/doi/pdf/10.1145/3173574.3174033?casa_token=T1I2RwihIjsAAAAA:QEm3SjurdlcW7oX_1LadxaglZ7oneBX-XLIjMCHbof3gu_IFpDW2OO5tqxZfLIps-94Qik9y5wNw8Q)
{: .homework} [Class Participation survey](TBD)
:
{% enddetails %}
{% details Wednesday 10/25: Making a Laser Cut Book Opener %}
Work in class on this
{% details Wednesday 10/25: Introduction to Designing for Accessibility %}
: **Slides** {% include slide.html title="Designing for and with people with disabilities" loc="designing.html" %}
{: .homework} [Technology Review](assignments/technology-review.html) Assigned: Write a group report about your assessment
:
......@@ -287,22 +286,18 @@ Work in class on this
{% enddetails %}
{% details Thursday: Section %}
Finish making laser cuttable designs and print
TBD
{% enddetails %}
{% details Friday 10/27: Data Equity %}
**Slides** {% include slide.html title="Data Equity" loc="bias-in-machine-learning.html" %}
{% details Friday 10/27: Deaf Technology & Innovation (Tentative Guest Lecture Date -- Richard Ladner) %}
{: .homework} [Class Participation survey](TBD)
:
{% enddetails %}
{: .week}
# Week 6 (10/30 - 11/3): Accessible Visulaizations & AR/VR
{% details Learning Goals %}
......@@ -315,9 +310,9 @@ Learn about how to make AR/VR interfaces and games accessible
{% enddetails %}
{% details Monday 10/30: AR/VR Accessibility%}
{% details Monday 10/30: Data Equity %}
**Slides** {% include slide.html title="AR/VR Accessibility" loc="arvr.html" %}
**Slides** {% include slide.html title="Data Equity" loc="bias-in-machine-learning.html" %}
{: .homework} Required Reading and Reflection (for Wednesday)
:
......@@ -337,8 +332,12 @@ Learn about how to make AR/VR interfaces and games accessible
{% enddetails %}
{% details Wednesday 11/1: AR/VR %}
Work in class on this
{% details Wednesday 11/1: AR/VR Accessibility %}
**Slides** {% include slide.html title="AR/VR Accessibility" loc="arvr.html" %}
{: .homework} [Technology Review](assignments/technology-implementation.html) Assigned: Make something (post-gui) more accessible
:
......@@ -363,41 +362,43 @@ Check in to make sure you have a plan and it is do-able
{% enddetails %}
{: .week}
# Week 7 (11/6-11/10): Accessible Needfinding and Evaluation
# Week 7 (11/6 - 11/10): Fabrication & Data Equity
{% 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
- 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
- Work with laser cutting to make accessible technology
- Learn about fabrication tools and techniques
- 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?
{% enddetails %}
{% details Monday 11/6: Introduction to Assessing Accessibility}
**Slides** {% include slide.html title="Assessing Accessibility" loc="evaluation.html" %}
{% details Monday 11/6: What's the best way to Assess a Website?%}
**Slides** {% include slide.html title="Introduction to 3D Printing and Physical Computing" loc="3dprinting.html" %}
{: .homework} Required Reading and Reflection (for Wednesday)
:
- **Required Reading**
- Read [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=3bf833b75e7b) and Respond
- Read [How to do something good in the disability community if you're not disabled](https://www.forbes.com/sites/andrewpulrang/2020/12/16/how-to-do-something-good-in-the-disability-community-if-youre-not-disabled/?sh=21ef25c97d7f)
- **If you want to dig deeper**
- Read [Anticipate and Adjust](https://dl.acm.org/doi/abs/10.1145/3491102.3501882)
- Read [Accessibility came by accident](https://dl.acm.org/doi/pdf/10.1145/3173574.3174033?casa_token=T1I2RwihIjsAAAAA:QEm3SjurdlcW7oX_1LadxaglZ7oneBX-XLIjMCHbof3gu_IFpDW2OO5tqxZfLIps-94Qik9y5wNw8Q)
- **Required: Respond to the Reading Questions and Preparation Requirements.**
- [Consumer-Grade Fabrication and Its Potential to Revolutionize Accessibility](https://dl.acm.org/doi/10.1145/3339824), CACM 2019 and [**Respond**](TBD)
- [Areas of Strategic Visibility: Disability Bias in Biometrics](https://arxiv.org/abs/2208.04712) and [**Respond**](TBD)
- **If you want to go deeper**
- [Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning](https://www.cs.purdue.edu/homes/bb/nit/Lalana-Explainations%20of%20IAS.pdf)
- [Fairness issues in AI Systems that augment sensory abilities](https://arxiv.org/pdf/1908.07333.pdf)
{: .homework} [Class Participation survey](TBD)
:
{% enddetails %}
{% details Wednesday 11/8: Introduction to Designing for Accessibility %}
: **Slides** {% include slide.html title="Designing for and with people with disabilities" loc="designing.html" %}
{% details Wednesday 11/8: Making a Laser Cut Book Opener %}
Work in class on this
{: .homework} [Final Project Proposal](assignments/project-proposals.html) Assigned: Prepare your final project proposal (individual)
:
......@@ -408,7 +409,7 @@ Check in to make sure you have a plan and it is do-able
{% enddetails %}
{% details Thursday: Section %}
Work on final project proposals
Finish making laser cuttable designs and print
{% enddetails %}
......
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