Digitala Vetenskapliga Arkivet

Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Enhancing emotional communication between autistic and non-autistic individuals through assistive Information Technology
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
2021 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Recognising people’s emotions is a promising research area in human-computer interaction as emotional communication plays a crucial role in humans’ lives. One of the main reasons for ineffective emotional communication is a deficit in understanding emotional signals such as facial expressions and body posture. There is a bidirectional challenge between autistic and non-autistic individuals since they display their emotional signals differently. This thesis discovers differences in emotional signals, in particular facial expressions, body posture, and physiological signals. Based on the interviews and questionnaires conducted in this thesis, the need to design an aid tool to assist autistic and non-autistic participants during their emotional communication is identified. Therefore, Emognition, a smartwatch, and its mobile application is designed to blur these differences and enhance the emotional communication between them. Furthermore, Emognition’s user evaluation indicates that the smartwatch could successfully detect nonautistic participants’ sadness and happiness. Also, they found the mobile application useful and aesthetically motivating to interact with. Even though we could not evaluate how well the Emognition recognises autistic participants’ sadness and happiness, it is promising to measure their emotions successfully by accurate sensors and, more importantly, by finding their autonomic response patterns to different emotions and enhance emotional communication between autistic and nonautistic people by Emognition.

Place, publisher, year, edition, pages
2021. , p. 44
Keywords [en]
Assistive Technology, Autism Spectrum Disorder, Emotional communication
National Category
Human Computer Interaction Social Sciences
Identifiers
URN: urn:nbn:se:uu:diva-447877OAI: oai:DiVA.org:uu-447877DiVA, id: diva2:1575897
Educational program
Master Programme in Human-Computer Interaction
Supervisors
Examiners
Available from: 2021-06-30 Created: 2021-06-30 Last updated: 2021-06-30Bibliographically approved

Open Access in DiVA

fulltext(9546 kB)271 downloads
File information
File name FULLTEXT01.pdfFile size 9546 kBChecksum SHA-512
24a7365d5d82a9d06a48fa1e3f43c2a099f739be30352827121ff020c0afb72acd5beb838597ff26937a256a850361333570de0a6e149d474a94c24c6bfc9d64
Type fulltextMimetype application/pdf

By organisation
Department of Informatics and Media
Human Computer InteractionSocial Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 271 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 596 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf