Multimedia Tools and Applications

, Volume 76, Issue 4, pp 4895–4923 | Cite as

HCI and education: a blended design experience

Article
  • 314 Downloads

Abstract

Teaching HCI in an undergraduate course for computer scientists is often a challenging experience, because the skills that characterize HCI are different from scientific and computational thinking that are the focus of most subjects of the curriculum. Often HCI teaching is organized as a set of lectures that are useful to learn concepts, but don’t increase the design skills of the students. This work reports the results of an educational experience where both learners and teachers were actively involved in a process of knowledge construction and design. This process usually happens in other domains, such as architecture or industrial design, but is not part of most computer science curricula. We chose as project a challenging theme: the design of eco-feedback interfaces that inform people about the consequences of their actions for the environment and help to take decisions for lowering energy consumption. Eco-feedback interfaces are also representative of the gap between the products available on the market and the results of scientific studies, evidenced also by a recent workshop about HCI education. The workshop evidenced a number of pitfalls in HCI education that in our educational experience we tried to overcome with appropriate methodologies. An additional challenging task was the attempt to organize all the design activities taking advantage of a platform for remote learning, stressing its limits. The paper will discuss all these issues, evidencing where the applied methodologies gave good results and where they need further improvements, with the final goal of giving useful advices for HCI educational experiences to come.

Keywords

Design thinking Eco-feedback Education Environmental awareness HCI teaching Interfaces for children Prototyping tools Remote learning 

References

  1. 1.
    Amin SM (2011) Smart grid: overview, issues and opportunities. advances and challenges in sensing, modeling, simulation, optimization and control. European Journal of Control 17(5–6):547–567MathSciNetCrossRefGoogle Scholar
  2. 2.
    Anderson T, Dron J (2010) Three generations of distance education pedagogy. The International Review of Research in Open and Distributed Learning 12(3):80–97CrossRefGoogle Scholar
  3. 3.
    Ardito C, Lanzilotti R, Polillo R, Spano LD, Zancanaro M (2015) New perspectives to improve quality, efficacy and appeal of HCI courses. In: Proceedings of the 11th biannual conference on italian SIGCHI chapter, CHItaly 2015. ACM, New York, NY, USA, pp 188–189Google Scholar
  4. 4.
    Buxton B (2007) Sketching user experiences: getting the design right and the right design. Morgan Kaufmann Publishers Inc., San FranciscoGoogle Scholar
  5. 5.
    Clow D (2013) Moocs and the funnel of participation. In: Proceedings of the third international conference on learning analytics and knowledge. ACM, pp 185–189Google Scholar
  6. 6.
  7. 7.
    Darby S (2001) Making it obvious: designing feedback into energy consumption. In: Bertoldi P, Ricci A, de Almeida A (eds) Energy efficiency in household appliances and lighting. Springer, Berlin Heidelberg, pp 685–696Google Scholar
  8. 8.
  9. 9.
    Ertmer PA, Newby TJ (1993) Behaviorism, cognitivism, constructivism: comparing critical features from an instructional design perspective. Performance Improvement Quarterly 6(4):50–72CrossRefGoogle Scholar
  10. 10.
    Froehlich J, Findlater L, Landay J (2010) The design of eco-feedback technology. In: Proceedings of CHI ’10. ACM, New York, NY, USA, pp 1999–2008Google Scholar
  11. 11.
    Greenberg S, Carpendale S, Marquardt N, Buxton B (2011) Sketching user experiences: the workbook, 1st edn. Morgan Kaufmann Publishers Inc., San FranciscoGoogle Scholar
  12. 12.
    Gustafsson A, Gyllenswärd M (2005) The power-aware cord: Energy awareness through ambient information display. In: CHI’05 Extended abstracts on human factors in computing systems, CHI EA ’05. ACM, New York, NY, USA, pp 1423–1426Google Scholar
  13. 13.
    Hargreaves T, Nye M, Burgess J (2010) Making energy visible: a qualitative field study of how householders interact with feedback from smart energy monitors. Energy Policy 38(10):6111– 6119CrossRefGoogle Scholar
  14. 14.
    Heller F, Borchers J (2012) Physical prototyping of an on-outlet power-consumption display. Interactions 19(1):14–17CrossRefGoogle Scholar
  15. 15.
    Holmes TG (2007) Eco-visualization: combining art and technology to reduce energy consumption. In: Proceedings of c&c ’07. ACM, New York, NY, USA, pp 153–162Google Scholar
  16. 16.
    Hunter Research and Technology: GreenMeter. http://hunter.pairsite.com/greenmeter/
  17. 17.
  18. 18.
    Kalbach J Resources for remote design. https://blog.mural.ly/2015/08/resources-for-remote-design/
  19. 19.
    Joint Task Force on Computing Curricula Association for Computing Machinery (ACM) IEEE Computer Society: Computer science 2013: Curriculum guidelines for undergraduate programs in computer science. http://www.acm.org/education/CS2013-final-report.pdf
  20. 20.
    Ju W (2015) The design of implicit interactions. Morgan & ClaypoolGoogle Scholar
  21. 21.
    Lawson B (2006) How designers think: the design process demystified. RoutledgeGoogle Scholar
  22. 22.
    McCalley L, Midden C (1998) Computer based systems in household appliances: The study of eco-feedback as a tool for increasing conservation behavior. In: Proceedings of APCHI ’98. IEEE Computer Society, Washington, DC, USA, pp 344–349Google Scholar
  23. 23.
    Landes M Remote design looks like this: an infographic. https://blog.mural.ly/2015/08/remote-design-looks-like-this-an-infographic/
  24. 24.
    Moere AV, Tomitsch M, Hoinkis M, Trefz E, Johansen S, Jones A (2011) Comparative feedback in the street: exposing residential energy consumption on house facades. In: Proceedings of INTERACT’11. Springer, Berlin, Heidelberg, pp 470–488Google Scholar
  25. 25.
  26. 26.
    Myers BA (1998) A brief history of human-computer interaction technology. Interactions 5(2):44–54CrossRefGoogle Scholar
  27. 27.
    Neenan B, Robinson J, Boisvert R (2009) Residential electricity use feedback: a research synthesis and economic framework. Tech Rep 1019319, Electric Power Research InstituteGoogle Scholar
  28. 28.
    Nielsen J (1994) Usability engineering. Morgan Kaufmann Publishers Inc., San FranciscoGoogle Scholar
  29. 29.
    Nisi V, Nicoletti D, Nisi R, Nunes NJ (2011) Beyond eco-feedback: using art and emotional attachment to express energy consumption. In: Proceedings of C&C ’11. ACM, New York, NY, USA, pp 381– 382Google Scholar
  30. 30.
    Nisi V, Nunes NJ, Quintal F, Barreto M (2013) Sinais from fanal: design and evaluation of an art-inspired eco-feedback system. In: Proceedings of CHItaly ’13. ACM, New York, NY, USA, pp 3:1–3:10Google Scholar
  31. 31.
    Pierce J, Odom W, Blevis E (2008) Energy aware dwelling: a critical survey of interaction design for eco-visualizations. In: Proceedings of OZCHI ’08. ACM, New York, NY, USA, pp 1–8Google Scholar
  32. 32.
    Preece J, Rogers Y, Sharp H (2015) Interaction design: beyond human-computer interaction, 4th edn. Wiley, New YorkGoogle Scholar
  33. 33.
    Short M, Dawood M, Crosbie T, Dawood N (2014) Visualization tools for energy awareness and management in energy positive neighborhoods. In: Proceedings of 14th international conference on construction applications of virtual reality. http://hdl.handle.net/10149/559490
  34. 34.
  35. 35.
    Snyder C (2004) Paper prototyping. Morgan Kaufmann Publishers Inc., San FranciscoGoogle Scholar
  36. 36.
    Spagnolli A, Corradi N, Gamberini L, Hoggan E, Jacucci G, Katzeff C, Broms L, Jonsson L (2011) Eco-feedback on the go: motivating energy awareness. Computer 44(5):38–45CrossRefGoogle Scholar
  37. 37.
    Sundramoorthy V, Liu Q, Cooper G, Linge N, Cooper J (2010) Dehems: a user-driven domestic energy monitoring system. In: Internet of things (IOT), 2010, pp 1–8Google Scholar
  38. 38.
    United Nations Environmental: UNEP Carbon Calculator Application. http://www.unric.org/en/apps-directory/27438-unep-carbon-calculator

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Università Ca’ Foscari VeneziaMestre VeneziaItalia

Personalised recommendations