Stereotypes, Discrimination, and Inclusion Case Study: Eating - - PowerPoint PPT Presentation

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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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CMSC 20370/30370 Winter 2020 Stereotypes, Discrimination, and Inclusion Case Study: Eating Disorders

Feb 19, 2020

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Quiz Time (5-7 minutes).

Quiz on “Notjustgirls”

Principles of Good Design

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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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Get in touch:

Office hours: Fridays 2-4pm (Sign up in advance) or by appointment JCL 355 Email: marshini@uchicago.edu