PerSketchTivity: An Intelligent Pen-Based Educational Application for Design Sketching Instruction

  • Blake Williford
  • Paul Taele
  • Trevor Nelligan
  • Wayne Li
  • Julie Linsey
  • Tracy Hammond
Chapter
Part of the Human–Computer Interaction Series book series (HCIS)

Abstract

Design sketching is an important and versatile skill for engineering students to master in order to translate their design thoughts effectively onto a visual medium, whether it is to proficiently produce hand-drawn sketches onto paper, seamlessly interact with intelligent sketch-based modeling interfaces, or reap the various educational benefits associated with drawing. Traditional instructional approaches for teaching design sketching are frequently constrained by the availability of experienced human instructors or the lack of supervised learning from self-practice, while relevant intelligent educational applications for sketch instruction have focused more on assessing users’ art drawings or cognitive developmental progress. We introduce PerSketchTivity, an intelligent pen-based computing educational application that not only teaches engineering students how to hone and practice their design sketching skills through stylus-and-touchscreen interaction, but also aiding their motivation and self-regulated learning through real-time feedback. From the qualitative results of our usability tests of our application from eight university student participants of varying skill levels and disciplines, we observed that participants well-rated the usability of the application while also providing valuable feedback to improve the application even further.

Notes

Acknowledgments

Thanks to members of the Sketch Recognition Lab and the IDREEM Lab who helped with the ideas of the project and paper, in particular Seth Polsley from SRL and Bill Scott at Stanford deserve a special shout out. This project is funded in part by NSF Cyberlearning grants 1441331 and 1441291 (EXP: Collaborative Research: PerSketchTivity- Empowering and Inspiring Creative, Competent, Communicative, and Effective Engineers through Perspective Sketching).

References

  1. 1.
    Atilola O (2007) The effects of representation and analogy on engineering idea generation. Ph.D. thesis, Georgia Institute of Technology, Atlanta, Georgia, USAGoogle Scholar
  2. 2.
    Bandura A (1997) Self-efficacy: the exercise of self-control, 1st edn. Freeman, New YorkGoogle Scholar
  3. 3.
    Cummmings D, Vides F, Hammond T (2012) I don’t believe my eyes!: geometric sketch recognition for a computer art tutorial. In: Proceedings of the international symposium on sketch-based interfaces and modeling. SBIM ’12. Eurographics Association, Geneva, Switzerland, pp 97–106Google Scholar
  4. 4.
    Dixon D, Prasad M, Hammond T (2010) iCanDraw: using sketch recognition and corrective feedback to assist a user in drawing human faces. In: Proceedings of the SIGCHI conference on human factors in computing systems., CHI ’10. ACM, New York, USA, pp 897–906Google Scholar
  5. 5.
    Franken R (2011) Human motivation, 1st edn. Cengage Learning, BostonGoogle Scholar
  6. 6.
    Gardner H (1983) Frames of mind: the theory of multiple intelligences, 1st edn. Basic Books, New YorkGoogle Scholar
  7. 7.
    Kim H, Taele P, Valentine S, McTigue E, Hammond T (2013) KimCHI: a sketch-based developmental skill classifier to enhance pen-driven educational interfaces for children. In: Proceedings of the international symposium on sketch-based interfaces and modeling pages, SBIM ’13. ACM, New York, pp 33–42Google Scholar
  8. 8.
    Larkin J, Simon H (1987) Why a diagram is (sometimes) worth ten thousand words. Cogn Sci 11(1):65–100CrossRefGoogle Scholar
  9. 9.
    Robertson S (2013) How to draw: drawing and sketching objects and environments from your imagination, 1st edn. Design Studio Press, Culver CityGoogle Scholar
  10. 10.
    Taele P, Hammond T (2009) Hashigo: a next-generation sketch interactive system for japanese kanji. In: Proceedings of the twenty-first innovative applications artificial intelligence conference, IAAI ’09. AAAI, Palo Alto, California, USA, pp 153–158Google Scholar
  11. 11.
    Zimmerman B (2008) Investigating self-regulation and motivation: historical background, methodological developments, and future prospects. Am Educ Res J 45(1):166–183CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Blake Williford
    • 1
  • Paul Taele
    • 2
  • Trevor Nelligan
    • 2
  • Wayne Li
    • 1
  • Julie Linsey
    • 3
  • Tracy Hammond
    • 2
  1. 1.Innovation and Design CollaborativeGeorgia Institute of TechnologyAtlantaUSA
  2. 2.Sketch Recognition Lab, Computer Science and Engineering DepartmentTexas A&M UniversityCollege StationUSA
  3. 3.iDreem LabGeorgia Institute of TechnologyAtlantaUSA

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