skip to main content
10.1145/3441000.3441016acmotherconferencesArticle/Chapter ViewAbstractPublication PagesozchiConference Proceedingsconference-collections
research-article

Occupational Therapy Meets Design: An Augmented Reality Tool for Assistive Home Modifications

Authors Info & Claims
Published:15 February 2021Publication History

ABSTRACT

Occupational therapists (OTs) support people with physical impairments and disabilities (PwIDs) to maintain their functional independence by suggesting home modifications that incorporate assistive technologies (ATs). Augmented reality (AR) systems can support home-modification processes by superimposing 3D items (e.g., ATs) onto real environments (e.g., in homes). In this paper, we report on evaluating a tablet-based AR application for use by OTs to facilitate envisioning the most appropriate scenarios for AT purchase, installation, and use in PwIDs homes. We conducted in situ user studies with ten OTs to evaluate the AR tool and identified the following advantages of using AR in home-modification processes: (1) providing visual clues (AT fit, size, function, and appearance) in the home, (2) supporting collaborative home-modification decision-making processes, (3) facilitating a holistic home-modification approach, and (4) involving stakeholders throughout the home-modification processes. Also, we discuss the lessons learned regarding the usability, usefulness, and future iterations of the AR home-modification tool.

References

  1. Hiroo Aoyama and Leila Aflatoony. 2020. HomeModAR: A Home Intervention Augmented Reality Tool for Occupational Therapists. In CHI, ACM, 1–7. DOI: https://doi.org/10.1145/3334480.3382993Google ScholarGoogle Scholar
  2. Patricia A. Arean, Kevin A. Hallgren, Joshua T. Jordan, Adam Gazzaley, David C. Atkins, Patrick J. Heagerty, and Joaquin A. Anguera. 2016. The use and effectiveness of mobile apps for depression: Results from a fully remote clinical trial. J. Med. Internet Res. (2016). DOI:https://doi.org/10.2196/jmir.6482Google ScholarGoogle Scholar
  3. Y. Ariadi, R. I. Campbell, M. A. Evans, and I. J. Graham. 2012. Combining additive manufacturing with computer aided consumer design. In 23rd Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2012.Google ScholarGoogle Scholar
  4. Assistive Technology Industry Association. 2014. What is Assistive Technology? How Is It Funded? atia.org.Google ScholarGoogle Scholar
  5. Richard Atterer, Monika Wnuk, and Albrecht Schmidt. 2006. Knowing the user's every move: User activity tracking for website usability evaluation and implicit interaction. In Proceedings of the 15th International Conference on World Wide Web. DOI:https://doi.org/10.1145/1135777.1135811Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Anita Atwal, Arthur Money, and Michele Harvey. 2014. Occupational therapists’ views on using a virtual reality interior design application within the pre-discharge home visit process. J. Med. Internet Res. (2014). DOI:https://doi.org/10.2196/jmir.3723Google ScholarGoogle Scholar
  7. Michael Lo Bianco, Sonja Pedell, and Gianni Renda. 2016. A Health industry perspective on augmented reality as a communication tool in elderly fall prevention. In ACM International Conference Proceeding Series. DOI:https://doi.org/10.1145/2996267.2996268Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Leonardo Bonanni, Chia-Hsun Jackie Lee, and Ted Selker. 2004. CounterIntelligence: Augmented Reality Kitchen. In Association for Computing Machinery (ACM).Google ScholarGoogle Scholar
  9. Erin Buehler, Stacy Branham, Abdullah Ali, Jeremy J. Chang, Megan Kelly Hofmann, Amy Hurst, and Shaun K. Kane. 2015. Sharing is caring: Assistive technology designs on thingiverse. In Conference on Human Factors in Computing Systems - Proceedings. DOI:https://doi.org/10.1145/2702123.2702525Google ScholarGoogle Scholar
  10. Erin Buehler, Shaun K. Kane, and Amy Hurst. 2014. ABC and 3D: Opportunities and obstacles to 3D printing in special education environments. In ASSETS14 - Proceedings of the 16th International ACM SIGACCESS Conference on Computers and Accessibility. DOI:https://doi.org/10.1145/2661334.2661365Google ScholarGoogle Scholar
  11. R. I. Campbell, D. J. De Beer, L. J. Barnard, G. J. Booysen, M. Truscott, R. Cain, M. J. Burton, D. E. Gyi, and R. Hague. 2007. Design evolution through customer interaction with functional prototypes. J. Eng. Des. (2007). DOI:https://doi.org/10.1080/09544820601178507Google ScholarGoogle Scholar
  12. Xiang Anthony Chen, Jeeeun Kim, Jennifer Mankoff, Tovi Grossman, Stelian Coros, and Scott E. Hudson. 2016. Reprise: A design tool for specifying, generating, and customizing 3D printable adaptations on everyday objects. In UIST 2016 - Proceedings of the 29th Annual Symposium on User Interface Software and Technology. DOI:https://doi.org/10.1145/2984511.2984512Google ScholarGoogle Scholar
  13. Ashley Colley, Juho Rantakari, and Jonna Häkkilä. 2014. Augmenting the home to remember - Initial user perceptions. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. DOI:https://doi.org/10.1145/2638728.2641717Google ScholarGoogle Scholar
  14. Robert G. Cumming, Margaret Thomas, George Szonyi, Glenn Salkeld, Elizabeth O'Neill, Christine Westbury, and Gina Frampton. 1999. Home visits by an occupational therapist for assessment and modification of environmental hazards: A randomized trial of falls prevention. J. Am. Geriatr. Soc. (1999). DOI:https://doi.org/10.1111/j.1532-5415.1999.tb01556.xGoogle ScholarGoogle Scholar
  15. Emma Dixon. 2019. Understanding the occupational therapists method to inform the design of technologies for people with dementia. In Conference on Human Factors in Computing Systems - Proceedings. DOI:https://doi.org/10.1145/3290607.3308453Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Tom Djajadiningrat, Pei Yin Chao, Seyoung Kim, Marleen Van Leengoed, and Jeroen Raijmakers. 2016. Mime: An AR-based system helping patients to test their blood at home. In DIS 2016 - Proceedings of the 2016 ACM Conference on Designing Interactive Systems: Fuse. DOI:https://doi.org/10.1145/2901790.2901915Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Wei Gao, Yunbo Zhang, Devarajan Ramanujan, Karthik Ramani, Yong Chen, Christopher B. Williams, Charlie C.L. Wang, Yung C. Shin, Song Zhang, and Pablo D. Zavattieri. 2015. The status, challenges, and future of additive manufacturing in engineering. CAD Comput. Aided Des. (2015). DOI:https://doi.org/10.1016/j.cad.2015.04.001Google ScholarGoogle Scholar
  18. Laura N. Gitlin, Ruth L. Schemm, Lisa Landsberg, and Desirée Burgh. 1996. Factors predicting assistive device use in the home by older people following rehabilitation. J. Aging Health (1996). DOI:https://doi.org/10.1177/089826439600800405Google ScholarGoogle Scholar
  19. Megan Hofmann, Kristin Williams, Toni Kaplan, Stephanie Valencia, Gabriella Hann, Scott E. Hudson, Jennifer Mankof, and Patrick Carrington. 2019. “Occupational therapy is making”: Clinical rapid prototyping and digital fabrication. In Conference on Human Factors in Computing Systems - Proceedings. DOI:https://doi.org/10.1145/3290605.3300544Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Karen Holtzblatt and Hugh Beyer. 2017. The Affinity Diagram. In Contextual Design. DOI:https://doi.org/10.1016/b978-0-12-800894-2.00006-5Google ScholarGoogle Scholar
  21. Amy Hurst and Jasmine Tobias. 2011. Empowering individuals with do-it-yourself assistive technology. In ASSETS’11: Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility. DOI:https://doi.org/10.1145/2049536.2049541Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Pascal Knierim, Paweł W. Woźniak, Yomna Abdelrahman, and Albrecht Schmidt. 2019. Exploring the potential of augmented reality in domestic environments. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2019. DOI:https://doi.org/10.1145/3338286.3340142Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Jin Lee, Ha Na Yoo, and Byoung Hee Lee. 2017. Effects of augmented reality-based Otago exercise on balance, gait, and physical factors in elderly women to prevent falls: A randomized controlled trial. J. Phys. Ther. Sci. (2017). DOI:https://doi.org/10.1589/jpts.29.1586Google ScholarGoogle Scholar
  24. Xun Luo, Tiffany Kline, Heidi C. Fischer, Kathy A. Stubblefield, Robert V. Kenyon, and Derek G. Kamper. 2005. Integration of augmented reality and assistive devices for post-stroke hand opening rehabilitation. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. DOI:https://doi.org/10.1109/iembs.2005.1616080Google ScholarGoogle Scholar
  25. A.G. Money, S. Fernando, L. Lines, and A.D. Elliman. 2009. Developing and evaluating web-based assistive technologies for older adults. Gerontechnology (2009). DOI:https://doi.org/10.4017/gt.2009.08.03.013.00Google ScholarGoogle Scholar
  26. Jeremiah Parry-Hill, Patrick C. Shih, Jennifer Mankoff, and Daniel Ashbrook. 2017. Understanding volunteer AT fabricators: Opportunities and challenges in DIY-AT for others in e-NABLE. In Conference on Human Factors in Computing Systems - Proceedings. DOI:https://doi.org/10.1145/3025453.3026045Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Monica Perusquía-Hernández, Hella Kriening, Carina Palumbo, and Barbara Wajda. 2014. User-centered design of a lamp customization tool. In ACM International Conference Proceeding Series. DOI:https://doi.org/10.1145/2582051.2582087Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Helen Petrie, Stefan Carmien, and Andrew Lewis. 2018. Assistive technology abandonment: Research realities and potentials. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). DOI:https://doi.org/10.1007/978-3-319-94274-2_77Google ScholarGoogle Scholar
  29. Viet Toan Phan and Seung Yeon Choo. 2010. Interior Design in Augmented Reality Environment. Int. J. Comput. Appl. (2010). DOI:https://doi.org/10.5120/912-1290Google ScholarGoogle ScholarCross RefCross Ref
  30. Betsy Phillips and Hongxin Zhao. 1993. Predictors of Assistive Technology Abandonment. Assist. Technol. (1993). DOI:https://doi.org/10.1080/10400435.1993.10132205Google ScholarGoogle Scholar
  31. Halley P. Profita, Abigale Stangl, Laura Matuszewska, Sigrunn Sky, and Shaun K. Kane. 2016. Nothing to hide: Aesthetic customization of hearing AIDS and cochlear implants in an online community. In ASSETS 2016 - Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. DOI:https://doi.org/10.1145/2982142.2982159Google ScholarGoogle Scholar
  32. Ahmad M. Qamar, Ahmed Riaz Khan, Syed Osama Husain, Md Abdur Rahman, and Saleh Basalamah. 2015. A multi-sensory gesture-based occupational therapy environment for controlling home appliances. In ICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval. DOI:https://doi.org/10.1145/2671188.2749412Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. McCombe Waller Sandy, Samantha McDonald, Niara Comrie, Erin Buehler, Nicholas Carter, Braxton Dubin, Karen Gordes, and Amy Hurst. 2016. Uncovering challenges and opportunities for 3D printing assistive technology with physical therapists. In ASSETS 2016 - Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. DOI:https://doi.org/10.1145/2982142.2982162Google ScholarGoogle Scholar
  34. Joon Gi Shin, Gary Ng, and Daniel Saakes. 2018. Couples Designing their Living Room Together. DOI:https://doi.org/10.1145/3174910.3174930Google ScholarGoogle Scholar
  35. Alex Toh, Li Jiang, and Eng Keong Lua. 2011. Augmented reality gaming for Rehab@Home. In i-CREATe 2011 - International Convention on Rehabilitation Engineering and Assistive Technology.Google ScholarGoogle Scholar
  36. Leena Ventä-Olkkonen, Jonna Häkkilä, and Kaisa Väänänen-Vainio-Mattila. 2014. Exploring the augmented home window-user perceptions of the concept. In ACM International Conference Proceeding Series. DOI:https://doi.org/10.1145/2677972.2677994Google ScholarGoogle Scholar
  37. World health organization. 2020. Retrieved January 2, 2020 from https://www.who.int/news- room/fact-sheets/detail/assistive-technologyGoogle ScholarGoogle Scholar

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 Other conferences
    OzCHI '20: Proceedings of the 32nd Australian Conference on Human-Computer Interaction
    December 2020
    764 pages

    Copyright © 2020 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 the author(s) 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 February 2021

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate362of729submissions,50%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format