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DataSpoon: Overcoming Design Challenges in Tangible and Embedded Assistive Technologies

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Published:14 February 2016Publication History

ABSTRACT

The design of tangible and embedded assistive technologies poses unique challenges. We describe the challenges we encountered during the design of "DataSpoon", explain how we overcame them, and suggest design guidelines. DataSpoon is an instrumented spoon that monitors movement kinematics during self-feeding. Children with motor disorders often encounter difficulty mastering self-feeding. In order to treat them effectively, professional caregivers need to assess their movement kinematics. Currently, assessment is performed through observations and questionnaires. DataSpoon adds sensor-based data to this process. A validation study showed that data obtained from DataSpoon and from a 6-camera 3D motion capture system were similar. Our experience yielded three design guidelines: needs of both caregivers and children should be considered; distractions to direct caregiver-child interaction should be minimized; familiar-looking devices may alleviate concerns associated with unfamiliar technology.

References

  1. Joan C. Arverdson and Linda Brodsky (eds.). 1993. Pediatric swallowing and feeding: Assessment and management. Singular Publishing Group Inc., San Diego, CA.Google ScholarGoogle Scholar
  2. Martin Bax, Murray Goldstein, Peter Rosenbaum, Alan Leviton, Nigel Paneth, Bernard Dan, Bo Jacobsson, and Diane Damiano. 2005. Proposed definition and classification of cerebral palsy. Dev Med Child Neurolo 47, 8: 571--576.Google ScholarGoogle ScholarCross RefCross Ref
  3. Foong-Yi Chia and Daniel Saakes. 2014. Interactive training chopsticks to improve fine motor skills. In Proceedings of the 11th Conference on Advances in Computer Entertainment Technology (ACE '14), Article 57. DOI:10.1145/2663806.2663816 Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Meng-Chieh Chiu, Shih-Ping Chang, Yu-Chen Chang, Hao-Hua Chu, Cheryl Chia-Hui Chen, Fei-Hsiu Hsiao, and Ju-Chun Ko. 2009. Playful bottle: A mobile social persuasion system to motivate healthy water intake. In Proceedings of the 11th international conference on Ubiquitous computing (UbiComp '09), 185-194. DOI:10.1145/1620545.1620574 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Helen Cockerill. 2009. Feeding. In Finnie's handling the young child with cerebral palsy at home (4th. ed.), Eva Bower (ed.). Butterworth Heinemann Elsevier, UK, 149--164.Google ScholarGoogle Scholar
  6. Rob Comber, Eva Ganglbauer, Jaz H-J Choi, Jettie Hoonhout, Yvonne Rogers, Kenton O'Hara, and Julie Maitland. 2012. Food and interaction design: Designing for food in everyday life. In CHI '12 Extended Abstracts on Human Factors in Computing Systems (CHI EA '12), 2767-2770. DOI:10.1145/2212776.2212716 Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Ayelet Gal-Oz, Orad Weisberg, Tal Keren-Capelovitch, Yair Uziel, Ronit Slyper, Patrice L. T. Weiss, and Oren Zuckerman. 2014. ExciteTray: Developing an assistive technology to promote self-feeding among young children. In Proceedings of the 2014 conference on Interaction design and children (IDC '14), 297-300. DOI:10.1145/2593968.2610476 Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. HAPIfork. Retrieved August 02, 2015 from http://www.hapi.com/product/hapifork.Google ScholarGoogle Scholar
  9. Ronald S. Illingworth. 1980. The Development of the Infant and young child: Abnormal and normal (7th. ed.). Churchill Livingstone, London, UK.Google ScholarGoogle Scholar
  10. Azusa Kadomura, Cheng-Yuan Li, Yen-Chang Chen, Hao-Hua Chu, Koji Tsukada, and Itiro Siio. 2013. Sensing Fork and persuasive game for improving eating behavior. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct), 71-74. DOI:10.1145/2494091.2494112 Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Azusa Kadomura, Cheng-Yuan Li, Yen-Chang Chen, Koji Tsukada, Itiro Siio, and Hao-Hua Chu. 2013. Sensing Fork: Eating behavior detection utensil and mobile persuasive game. In CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13), 1551-1556. DOI:10.1145/2468356.2468634 Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Azusa Kadomura, Koji Tsukada, and Itiro Siio. EducaTableware: Computer-augmented tableware to enhance the eating experiences. In CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13), 3071-3074. DOI:10.1145/2468356.2479613 Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Liftware. Retrieved August 02, 2015 from https://www.liftware.com.Google ScholarGoogle Scholar
  14. Jin-Ling Lo, Tung-Yun Lin, Hao-Hua Chu, Hsi-Chin Chou, Jen-Hao Chen, Jane Y-J Hsu, and Polly Huang. 2007. Playful Tray: Adopting ubicomp and persuasive techniques into play-based occupational therapy for reducing poor eating behavior in young children. In Proceedings of the 9th international conference on Ubiquitous computing (UbiComp '07), 38-55. DOI: 10.1007/978-3-540-74853-3_3 Google ScholarGoogle ScholarCross RefCross Ref
  15. Suzanne E. Morris and Marsha D. Klein. 1987. Pre-feeding skills: A comprehensive resource for feeding development. Therapy Skill Builders, Tucson, AR.Google ScholarGoogle Scholar
  16. Nimesha Ranasinghe, Kuan-Yi Lee, and Ellen Y-L Do. 2014. Funrasa: An interactive drinking platform. In Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction (TEI '14), 133-136. DOI:10.1145/2540930.2540939 Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Nimesha Ranasinghe, Kuan-Yi Lee, Gajan Suthokumar, and Ellen Y-L Do. 2014. The sensation of taste in the future of immersive media. In Proceedings of the 2nd ACM International Workshop on Immersive Media Experiences (ImmersiveMe '14), 7-12. DOI:10.1145/2660579.2660586 Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Peter Rosenbaum, Nigel Paneth, Alan Leviton, Murray Goldestein, and Martin Bax. 2007. A report: The definition and classification of cerebral palsy. Dev Med Child Neurol 49, s109: 8-14. DOI: 10.1111/j.1469-8749.2007.tb12610.xGoogle ScholarGoogle Scholar
  19. David Sugden and Michael Wade. 2013. Typical and atypical motor development. Mac Keith Press, London, UK.Google ScholarGoogle Scholar
  20. Kelly A. Weir, Kristie L. Bell, Fiona Caristo, Robert S. Ware, Peter S. Davies, Michael Fahey, Barry Rawicki, and Roslyn N. Boyd. 2013. Reported eating ability of young children with cerebral palsy: Is there an association with gross motor function? Arch Phys Med Rehab 94, 3: 495-502. DOI:10.1016/j.apmr.2012.10.007Google ScholarGoogle ScholarCross RefCross Ref
  21. Oren Zuckerman, Ronit Slyper, Tal Keren-Capelovitch, Ayelet Gal-Oz, Tamar Gal, and Patrice L. T. Weiss. 2015. Assisting caregivers of children with cerebral palsy: Towards a self-feeding assessment spoon. In Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '15), 557-562. DOI:10.1145/2677199.2687902 Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Other conferences
        TEI '16: Proceedings of the TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction
        February 2016
        820 pages
        ISBN:9781450335829
        DOI:10.1145/2839462

        Copyright © 2016 ACM

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        Publication History

        • Published: 14 February 2016

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        TEI '16 Paper Acceptance Rate45of178submissions,25%Overall Acceptance Rate393of1,367submissions,29%

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