skip to main content
10.1145/2677199.2680565acmconferencesArticle/Chapter ViewAbstractPublication PagesteiConference Proceedingsconference-collections
research-article

SWARM: An Actuated Wearable for Mediating Affect

Published:15 January 2015Publication History

ABSTRACT

We present SWARM, a wearable affective technology designed to help a user to reflect on their own emotional state, modify their affect, and interpret the emotional states of others. SWARM aims for a universal design (inclusive of people with various disabilities), with a focus on modular actuation components to accommodate users' sensory capabilities and preferences, and a scarf form-factor meant to reduce the stigma of accessible technologies through a fashionable embodiment. Using an iterative, user-centered approach, we present SWARM's design. Additionally, we contribute findings for communicating emotions through technology actuations, wearable design techniques (including a modular soft circuit design technique that fuses conductive fabric with actuation components), and universal design considerations for wearable technology.

Skip Supplemental Material Section

Supplemental Material

tei0160.mp4

mp4

25.1 MB

References

  1. Bonanni, L., et al. TapTap: A Haptic Wearable for Asynchronous Distributed Touch Therapy. CHI EA 2006. 580 585. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. CDC Autism Spectrum Disorder: Signs and Symptoms. http://www.cdc.gov/ncbddd/autism/signs.htmlGoogle ScholarGoogle Scholar
  3. Davis, F., et al. Actuating mood: design of the textile mirror. TEI 2013. 99--106. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Eaton, K. Does Your Phone Know How Happy You Are? The Emotion-Recognition Industry Comes Giddily Of Age. Fast Company (2012).Google ScholarGoogle Scholar
  5. Grandin, T. (1992) Calming Effects of Deep Touch Pressure in Patients with Autistic Disorder, College Students, and Animals. Journal of Child and Adolescent Psychopharmacology, 2, 63--72.Google ScholarGoogle ScholarCross RefCross Ref
  6. Healey, J.A. and Picard, R.W. Detecting stress during real-world driving tasks using physiological sensors. ITSC 2005. 156--166. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Hernandez, J., et al. Call Center Stress Recognition with Person-Specific Models. ACII 2011. 125--134. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Hernandez, J., et al. Under Pressure: Sensing Stress of Computer Users. CHI 2014. 51--60. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Hernandez, J., et al. AutoEmotive: Bringing empathy to the driving experience to manage stress. DIS 2014. 53--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Knapp, M. L. (1972) Nonverbal communication in human interaction. New York: Holt, Rinehart & Winston.Google ScholarGoogle Scholar
  11. Krishna, S., et al. VibroGlove: An Assistive Technology Aid for Conveying Facial Expressions. CHI EA 2010. 3637--3642. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Lee, D.G., et al. (2007) Emotive Captioning. Computers in Entertainment-Interactive TV. Vol 5, Issue 2. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. McEwen, B. S. (1998) Protective and Damaging Effects of Stress Mediators. New England Journal of Medicine, 338:171--179.Google ScholarGoogle ScholarCross RefCross Ref
  14. Mellis, D.A., et al. Microcontrollers as material: crafting circuits with paper, conductive ink, electronic components, and an "untoolkit". TEI 2013. 83--90. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Park, J.H., et al. A Framework for Designing Assistive Technologies for Teaching Children with ASDs Emotions. CHI EA 2012. 2423--2428. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Picard, R.W. (2000) Affective computing. Cambridge: MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Russell, J.A. (1980) A circumplex model of affect. Journal of Personality and Social Psychology. 39:1161 1178.Google ScholarGoogle ScholarCross RefCross Ref
  18. Sanches, P., et al. Mind the Body!: Designing a Mobile Stress Management Application Encouraging Personal Reflection. DIS 2010. 47--56. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Scheirer, J. and Picard, R. (2000) Affective objects. MIT Media Laboratory Perceptual Computing Section Technical Report No. 524.Google ScholarGoogle Scholar
  20. Schnepp, J.C., et al. Combining emotion and facial non-manual signals in synthesized American Sign Language. ASSETS 2012. 249--250. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Shinohara, K. and Wobbrock, J.O. In the Shadow of Misperception: Assistive Technology Use and Social Interactions. CHI 2011. 705--714. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Stephenson, J. and Carter, M. (2009) The Use of Weighted Vests with Children with Autism Spectrum Disorders and Other Disabilities. Journal of Autism and Developmental Disorders, 39, 105--114.Google ScholarGoogle ScholarCross RefCross Ref
  23. Sun, D., et al. MouStress: Detecting Stress from Mouse Motion. CHI 2014. 61--70. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Vaucelle, C., et al. Design of Haptic Interfaces for Therapy. CHI 2009. 467--470. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Wilkins, J. and Eisenbraun, A. J. (2009) Humor Theories and the Physiological Benefits of Laughter. Holistic Nursing Practice, 23, 349--354.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. SWARM: An Actuated Wearable for Mediating Affect

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      TEI '15: Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction
      January 2015
      766 pages
      ISBN:9781450333054
      DOI:10.1145/2677199

      Copyright © 2015 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 15 January 2015

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      TEI '15 Paper Acceptance Rate63of222submissions,28%Overall Acceptance Rate393of1,367submissions,29%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader