Autism Spectrum Disorder + Affective Computing (2)

Autism &Affective Computing

Stephanie VacherSOCS 300

Emily Carr UniversityApril 14, 2009

Contents:1. Methodologies - Research

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2. Learning - Inventory of Knowledge

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3. Therapies - Buffers and AC

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4. Conclusion

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4. Conclusion

5. Hypothesis

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4. Conclusion

5. Hypothesis

6. Current Work

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Methodologies:1. Mindmapping

bubbl.us & finding my locus for research

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2. Personal Learning Plan

articulating my intent

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2. Personal Learning Plan

articulating my intent

3. Secondary Research

lots and lots and lots of reading

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Methodologies: Mindmapping (AC)

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Methodologies: Mindmapping (ASD)

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Methodologies: Personal Learning Plan(Updated for April 14, 2009)

I want to determine the effects of Affective Computing (AC) on therapies for autistic people.. The value of this research is that I can later apply it to the design and construction of a treatment for autistic people that incorporates elements of affective computing.

In order to realize this goal, I’ll have conducted research in the following topics by the end of this semester:

1. Autism1a. Evidence of therapies for autism through the use of video games.1b. Autism therapies that involve AC and virtual reality.

2. Affective Computing, including the use and integration of sensors2a. The effects of AC and virtual reality in treatments for disabled people.2b. Interfacing AC with treatments for autism.

To generate content from the research, I plan on performing tertiary research including: reading papers, exploring websites and books dedicated to AC, autism, and autism therapies, watching documentaries, talks, and interviews. I also plan to conduct primary research in the forms of: conducting interviews with researchers, doctors, and therapiests. I also hope to be able to conduct primary research with autistic people, though I don’t expect to be able to do this within the timeframe of this project.

The timespan of this project is from January-April 2009. Over the summer semester (May-August 2009) I plan on developing a thesis project that can be constructed during the fall semester.

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Methodologies: Secondary Research

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Learning: Inventory of Knowledge

1. ‘Buffers’

early interventions to reduce stress

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1. ‘Buffers’


2. Lo-tech/Hi-tech Therapies

PECS / TEL / VR

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1. ‘Buffers’


2. Lo-tech/Hi-tech Therapies

PECS / TEL / VR

3. Introducing AC Therapies

Interactive Wearables / Shybot / Echoes II

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Therapies: Buffers

- Behavioural adaptations as a reaction to stress

- Generally leads to behaviour that is either proactive or maladaptive (see chart)

- Negative (maladaptive) buffers are followed by punishments and an increase in stress

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Therapies: Lo-tech / Hi-tech

- PECS: Picture Exchange Communication System

- Icons on cards are used to communicate

- TEL: Technology Enhanced Learning

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Therapies: Lo-tech / Hi-tech

Therapies: Affective Computing

Contributions of Affective Computing technology:

1. Development of new sensors/algorithms that can detect affective states

(Paraphrased) Source: El Kaliouby, R., Picard, R., and Baron-Cohen, S. (2006). ‘Affective Computing and Autism.’ 1093: 228-248. New York Academy of Sciences.

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2. New techniques to infer a person’s affective/cognitive state


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3. Developing machines that respond affectively to a person’s affective state


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3. Developing machines that respond affectively to a person’s affective state

4. Inventing personal technologies that improve machine awareness and communication


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“in-situ” facial affect sensing

The mobile computer processes facial expressions and interprets the information in real time viaan ‘emotion bubble’ interface.

Source: Madsen, M., el Kaliouby, R., Goodwin, M., Picard, R. “Technology for Just-In-Time In-Situ Learning of Facial Affect for Persons Diagnosed with an Autism Spectrum Disorder.” ASSETS ‘08, Halifax, Nova Scotia. 2008.


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Echoes II

- ‘Multi-modal’ environment

- Participatory / Interactive

- Integration of devices to enable development of social skills

- Co-creation with teachers/parents


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Shybot

- “Personal mobile robot”

- ‘social-emotional prosthesis’

- Sociable intervention for children

- Mimics human characteristics such as heartbeat, hiding, excitement

- Connected to in-situ recognition software via Arduino

Conclusion:

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Affective Computing methods have shown to be useful in autism therapy, specifically for regulating buffers

Affective technology allows autistic people to moreeasily empathize and judge emotion in social situations

Hypothesis:

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How can I integrate affective computer technology into ASD treatment, to enable stress reduction and build socio-emotional skills?

Current Work:- Game for autistic children (3-5 yrs)

- PECS iPhone application

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Image References:Blah blah blah

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Design

Autism Spectrum Disorder + Affective Computing (2)