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Stereotypes, Discrimination, and Inclusion Case Study: Eating - - PowerPoint PPT Presentation
Stereotypes, Discrimination, and Inclusion Case Study: Eating - - PowerPoint PPT Presentation
CMSC 20370/30370 Winter 2020 Stereotypes, Discrimination, and Inclusion Case Study: Eating Disorders Feb 19, 2020 Quiz Time (5-7 minutes). Quiz on Notjustgirls Principles of Good Design Administrivia GP2 posters please bring
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Administrivia
- GP2 posters – please bring in for Friday if
your group did not get to present to all three of us
- If your group did present to all of us,
please come in for a regular check- in/progress report
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Today’s Agenda
- Midterm summary
- Stereotypes versus inclusion
- Case Study: Eating disorders and
#notjustgirls
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Midterm Summary #1
- Too easy ☺
- Average was 37/40
- Major missteps:
– Children on autism spectrum
- Hard to use methods requiring interaction
- Need to help children feel comfortable
- Can observe and cannot observe -> depend on how
you described it
– Discount usability methods
- WoZ is not an inspection method or discount usability
method
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Midterm Summary #2
- Survey questions
– Should be closed-ended but did not penalize for this oversight – Filter vs survey questions
- Attention check
– E.g. Please select “A” so we know you are paying attention and can keep your survey response. – Or not an attention check question at all
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Case Study: #Notjustgirls
- Looked at posts on Eating Disorders (ED)
associated with males on Tumblr, Twitter, Instagram
- Researchers based classification of male on appearance
- Web scraping of posts over time
- Qualitative analysis of subset of posts
- Implications
– Design automated detection of ED on social media for mental health data collection or intervention – What terms to use?
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Trigger warning
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Eating Disorders
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Types of Eating Disorders Covered In Case Study
- Anorexia Nervosa (5%)
- Bulimia Nervosa (15%)
- Binge Eating
- Avoidant/Restrictive Food Intake Disorder (up to 67%)
- All have disrupted eating habits and weight control
behaviors
- All have physical or psychosocial impairments
- Bigorexia -> body dismorphic disorder – affects
bodybuilders
- Males represent significant portion of these disorders
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HCI prior work
- Characterizes ED in online space
- Methods to classify and predict ED (for
interventions)
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Research Methods
- Web scraping of posts over 6 months in 2018
from Tumblr, Twitter, Instagram
- Examined 2016 data for terms needed
MenWithED
- Collected new data from Jan 1 to Aug 1 2018
– Manorexia,, menwithanorexia, manorexic, malethinspo, bigorexia – Public posts, no IRB *What do you think about this?*
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Privacy and Ethics
- De-identified posts
- Paraphrased
- Did not use images without alteration or
looked for example images instead
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Hashtag analysis
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Implications
- ED effects are broader than females only
- Tech to detect or predict won’t work unless
it includes these cases
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Other gender related studies in HCI
- Low income moms
- Moms and breastfeeding
- Studies of menstruation
- Dads and parenting
- Sex workers
- Intimate partner violence
- Feminist HCI
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So be inclusive but also, design is sometimes easier with constraints…
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Technique: Personas
- Archetypal character representing a group of
users with common goals, attitudes, and behaviors when interacting with a particular product or service
- Goal directed persona
- Role based persona
- Combination of two
- Can be fictional or created based on user
research
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Examples
Source: https://venngage-wordpress.s3.amazonaws.com/uploads/2018/03/user-persona-examples-16.png
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Are personas useful then for inclusive technology?
- Yes but likely need other research methods
to avoid stereotypes
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Also, is inclusive technology limited
- nly to gender considerations?
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What if you’re female and black?
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And on that note stereotypes can get us into trouble…
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Russian Disinformation campaign on Twitter
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So what theories and methods can shape our designs?
- Intersectionality -> person has race,
gender, class-> all affect their day to day lives and lead to intersecting disadvantage
- r discrimination
- Interesting theory -> controversy around
use depending on who you are
- I won’t try to explain but let’s take a look
at how different aspects of your life affects you…
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Methods to mitigate these issues?
- Participatory design (see Muller et all, CHI 91)
- Started in European in Scandinavian workplace
– Empower workers – Allow workers to influence tech introduced into workplace – Workers seen as expert and source for innovation
- Involve all stakeholders in the design process
- Pros:
– Shared ownership – End-users are experts – Equalizes power dynamics
- Cons:
– Not always easy to involve everyone – Stakeholders have to be engaged – Resource intensive
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Action Research
- Kurt Lewin (1948)
– “research that produces nothing but books will not suffice”
- Produces interventions and then assess how they work
- Researcher highly collaborative with stakeholders
- Critical action research
– Empower groups and communities
- Pros: Shared ownership of ideas
- Cons:
– Not repeatable – Researchers not impartial
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Value Sensitive Design
- Batja Friedman et al. at UW
- Considers values of users of technology
and all that are affected by a technology
- Consider values of direct and indirect
stakeholders
- Considers values in all places the tech is
situated in (e.g. work/home/school etc)
- And many other methods such as
reflective design (Sengers et al)….
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What does that mean for inclusive technology?
- Technology can’t solve every problem
- Technology is inherently biased
- Technology influences people and people influence
technology
- Working with under-served and marginalized
communities you will encounter these issues
- You can’t and likely should not aim to be a savior
- But you *can* be mindful of biases and design your
systems to be inclusive
– Study your target groups – Try to understand how current designs are helping/hindering people – Evaluate interventions
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Summary
- Gender plays an important role in people’s lives
- But can’t focus on just one aspect of a person
- Intersectionality recognizes that race, gender,
sexual orientation and so forth all affect a person
- Inclusive systems cannot always support everyone
and sometimes designs have to be specific
- There are research processes for making systems
more inclusive – these go beyond user-centered design
- Overall, we should be mindful that technologies
are not going to exist in a vacuum
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Coming up…
- GP2 poster session continued on Friday
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