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Investigating designers’ and users’ cognitive representations of products to assist inclusive interaction design

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Abstract

There is strong evidence of the importance of good interaction design in the creation of intuitive-use products. However, there is also a strong indication, both in the literature and in the study with designers documented in this paper, that despite this evidence designers get little support in adequately representing, analysing and comparing design and user information. Since designers require a practical and relatively easy-to-use support tool that would enable them to better understand cognitive processes of users and evaluate the accessibility and usability of different product features, this paper proposes the Goals-Actions-Beliefs-Objects (GABO) modelling approach that can form the basis of such a tool for designers. The four distinct stages of the GABO approach are designed to assess and compare designers and users’ understanding and usage of everyday products. The evaluation results of the GABO approach with eight product designers have indicated that designers find it useful and effective in identifying the key similarities and differences in the understanding of designers and users.

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References

  1. Anderson, J.R.: Rules of the Mind. Lawrence Erlbaum Associates, Hillsdale (1993)

    Google Scholar 

  2. Andreasen, M.M.: Modelling—the language of the designer. J. Eng. Des. 5(2), 103–115 (1994)

    Article  Google Scholar 

  3. Aurisicchio, M., Bracewell, R.H.: Engineering design by integrated diagrams. In: International Conference on Engineering Design, Stanford, California, pp. 301–312 (2009)

  4. Benktzon, M.: Designing for our future selves: the Swedish experience. Appl. Ergonom. 24(1), 19–27 (1993)

    Article  Google Scholar 

  5. Bibby, P.A.: Distributed knowledge: in the head, in the world and in the interaction? In: Rogers, Y., Rutherford, A., Bibby, P.A. (eds.) Models in the Mind: Theory, Perspective and Application, pp. 93–99. Academic Press, London (1992)

    Google Scholar 

  6. Blackler, A.: Intuitive Interaction with Complex Artefacts. PhD thesis. School of Design, Queensland University of Technology, Australia (2006)

  7. Blessing, L., Chakrabarti, A., Wallace, K.A.: Design research methodology. In: International Conference on Engineering Design, Prague, Czech Republic, pp. 50–55 (1995)

  8. Browning, T.R.: Applying the design structure matrix to system decomposition and integration problems: a review and new directions. IEEE Trans. Eng. Manage. 48(3), 292–306 (2001)

    Article  Google Scholar 

  9. Bubb, H., Fritzsche, F.: A scientific perspective of digital human models: past, present, and future. In: Duffy, V.G. (ed.) Handbook of Digital Human Modeling: Research for Applied Ergonomics and Human Factors Engineering, pp. 3-1–3-30. Taylor & Francis, Boca Raton (2009)

  10. Card, S., Moran, T.P., Newell, A.: The psychology of human-computer interaction. Lawrence Erlbaum Associates, Hillsdale (1983)

    Google Scholar 

  11. Cardoso, C., Keates, S., Clarkson, P.J.: Comparing product assessment methods for inclusive design. In: Keates, S., Clarkson, P.J., Langdon, P., Robinson, P. (eds.) Designing a More Inclusive World, pp. 31–40. Springer, London (2004)

    Chapter  Google Scholar 

  12. Carley, K., Palmquist, M.: Extracting, representing and analysing mental models. Soc. Forces 70(3), 601–636 (1992)

    Google Scholar 

  13. Carroll, J.M., Campbell, R.L.: Artifacts as psychological theories: the case of human-computer interaction. Behaviour & Information Technology 8, 247–256 (1989)

    Article  Google Scholar 

  14. Carroll, J.M., Reitman Olson, J.: Mental models in human-computer interaction: research issues about what the user of software knows. National Academy Press, Washington, DC (1987)

  15. Carroll, J.M., Carrithers, C.: Blocking learner error states in a training-wheels system. Hum. Factors 26(4), 377–389 (1984)

    Google Scholar 

  16. Case, K., Porter, J.M., Gyi, D.E., Marshall, R., Oliver, R.E.: Virtual fitting trials in ‘design for all’. J. Mater. Process. Technol. 1171, 255–261 (2001)

    Article  Google Scholar 

  17. Chayutsahakij, P.: Human Centered Design Innovation. Report, Institute of Design, IIT Technology (2000)

  18. Coleman, R., Topalian, A., Dong, H., Clarkson, J.: The business case. In: Coleman, R., Clarkson, J., Dong, H., Cassim, J. (eds.) Design for Inclusivity: A Practical Guide to Accessible, Innovative and User-centred Design, pp. 33–55. Gower Publishing Limited, Aldershot (2007)

    Google Scholar 

  19. Cooper, A.: The inmates are running the asylum. SAMS Publishing, Indianapolis (1999)

    Google Scholar 

  20. Craik, K.J.W.: The Nature of Explanation. Cambridge University Press, Cambridge (1943)

    Google Scholar 

  21. Crilly, N., Blackwell, A.F., Clarkson, P.J.: Using research diagrams for member validation in qualitative research. In: Diagrammatic Representation and Inference International Conference. Stanford, California, pp. 258–262 (2006)

  22. Cross, N.: Engineering design methods. Wiley, Chichester (1989)

    Google Scholar 

  23. diSessa, A.: Models of computation. In: Norman, D.A., Draper, S.W. (eds.) User-centered System Design: New Perspectives in Human-Computer Interaction, pp. 201–218. Lawrence Erlbaum Associates, Hillsdale (1986)

  24. Docampo-Rama, M.: Technology Generations Handling Complex User Interfaces. PhD thesis, Eindhoven University of Technology, The Netherlands (2001)

  25. Dong, H.: Barriers to Inclusive Design in the UK. PhD thesis, University of Cambridge, UK (2005)

  26. Duffy, V.G.: Handbook of Digital Human Modeling: Research for Applied Ergonomics and Human Factors Engineering. Taylor & Francis, Boca Raton (2009)

    Google Scholar 

  27. Eckert, C., Clarkson, P.J., Stacey, M.K.: The spiral of applied research: a methodological view on integrated design research. In: International Conference on Engineering Design, Stockholm, Sweden, pp. 245–246 (2003)

  28. Fielding, N., Thomas, H.: Qualitative interviewing. In: Gilbert, N. (ed.) Researching Social Life, pp. 123–144. Sage, London (2001)

    Google Scholar 

  29. Freudenthal, A.: The Design of Home Appliances for Young and Old Consumers. PhD thesis, Delft University Press, The Netherlands (1999)

  30. Gentner, D., Stevens, A.L.: Mental Models. Lawrence Erlbaum Associates, Hillsdale (1983)

    Google Scholar 

  31. Goldsmith, T.E., Davenport, D.M.: Assessing structural similarity of graphs. In: Schvaneveldt, R.W. (ed.) Pathfinder Associative Networks, pp. 31–52. Ablex Publishing Corporation, Norwood (1990)

    Google Scholar 

  32. Goodman-Deane, J., Langdon, P., Clarkson, P.J.: Key influences on the user-centred design process. J. Eng. Des. 21, 345–373 (2010)

    Article  Google Scholar 

  33. Gorsuch, R.L.: Factor Analysis, 2nd edn. Erlbaum, Hillsdale (1999)

    Google Scholar 

  34. Gulliksen, J., Goransson, B., Boivie, I., Blomkvist, S., Persson, J., Cajander, A.: Key principles for user-centered systems design. Behav. Inf. Technol. 22, 397–409 (2003)

    Article  Google Scholar 

  35. Harvey, L., Anderson, J.: Transfer of declarative knowledge in complex information-processing domains. Hum. Comput. Interact. 11, 69–96 (1996)

    Article  Google Scholar 

  36. Hewer, S., James, L.: Realising potential: two complementary views from the RSA, London. In: Placencia-Porrero, I., Ballabio, E. (eds.) Improving the Quality of Life for the European Citizen: Technology for the Inclusive Design and Equality. IOS Press, London (1998)

    Google Scholar 

  37. Hiltz, K., Back, J., Blandford, A.: The roles of conceptual device models and user goals in avoiding device initialization errors. Interact. Comput. 22, 363–374 (2010)

    Article  Google Scholar 

  38. Hosking, I.M., Waller, S.D., Clarkson, P.J.: It is normal to be different: applying inclusive design in industry. Interact. Comput. 22(6), 496–501 (2010)

    Article  Google Scholar 

  39. Hurtienne, J., Blessing, L.: Metaphors as tools for intuitive interaction with technology. metaphorik.de 12, 21–52 (2007)

    Google Scholar 

  40. Johnson, M.: Moral Imagination. University of Chicago Press, Chicago (1993)

    Google Scholar 

  41. Johnson, P., Johnson, H., Waddington, R., Shouls, A.: Task-related knowledge structures: analysis, modeling and application. In: Jones, D.M., Winder, R. (eds.) People and Computers: From Research to Implementation, pp. 35–62. Cambridge University Press, Cambridge (1988)

    Google Scholar 

  42. Johnson-Laird, P.N.: Mental Models. Harvard University Press, Cambridge (1983)

    Google Scholar 

  43. Jordan, P.W.: Designing Pleasurable Products: An Introduction to the New Human Factors. Taylor & Francis, London (2000)

    Book  Google Scholar 

  44. Keates, S., Clarkson, P.J.: Countering Design Exclusion: An Introduction to Inclusive Design. Springer, London (2004)

    Book  Google Scholar 

  45. Kieras, D.E.: What mental model should be taught: choosing instructional content for complex engineered systems. In: Psotka, J., Massey, L.D., Mutter, S.A. (eds.) Intelligent Tutoring Systems: Lessons Learned, pp. 85–111. Lawrence Erlbaum Associates, Hillsdale (1988)

    Google Scholar 

  46. Kirwan, B., Ainsworth, L.K.: A Guide to Task Analysis: The Task Analysis Working Group. Taylor & Francis, London (1992)

    Google Scholar 

  47. Klimoski, R., Mohammed, S.: Team mental model: construct or metaphor? J. Manage. 20(2), 403–437 (1994)

    Google Scholar 

  48. Kolbitsch, J., Maurer, H.: Transclusions in an HTML-based environment. J. Comput. Inf. Technol. 14(2), 161–173 (2006)

    Google Scholar 

  49. Kotler, P., Rath, G.A.: Design: a powerful but neglected strategic tool. J. Bus. Strategy 5, 16–21 (1984)

    Article  Google Scholar 

  50. Kouprie, M., Sleeswijk Visser, F.: A framework for empathy in design: stepping into and out of the user’s life. J. Eng. Des. 20(5), 437–448 (2009)

    Article  Google Scholar 

  51. Laird, J.E., Newell, A., Rosenbloom, P.S.: SOAR: an architecture for general intelligence. Artif. Intell. 33, 1–64 (1987)

    Article  Google Scholar 

  52. Langdon, P., Thimbleby, H.: Inclusion and interaction: designing interaction for inclusive populations (editorial). Interact. Comput. 22(6), 439–448 (2010)

    Article  Google Scholar 

  53. Langdon, P.M., Lewis, T., Clarkson, P.J.: Prior experience in the use of domestic product interfaces. Univ. Access Inf. Soc. 9, 209–225 (2009)

    Article  Google Scholar 

  54. Langdon, P.M., Lewis, T., Clarkson, P.J.: The effects of prior experience on the use of consumer products. Univ. Access Inf. Soc. 6, 179–191 (2007). Special Issue on Designing Accessible Technology

    Article  Google Scholar 

  55. Larkin, J.H., Simon, H.A.: Why a diagram is (sometimes) worth ten thousand words. Cogn. Sci. 11(1), 65–100 (1987)

    Article  Google Scholar 

  56. Liddle, D.: Design of the conceptual model. In: Winograd, T. (ed.) Bringing Design to Software, pp. 17–31. Addison-Wesley, Reading (1996)

  57. Lim, C.S.C.: Designing inclusive ICT products for older users: taking into account the technology generation effect. J. Eng. Des. 21(2–3), 189–206 (2010)

    Article  Google Scholar 

  58. MacLean, A., Young, R.M., Bellotti, V.M.E., Moran, T.P.: Questions, options, and criteria: elements of design space analysis. Hum. Comput. Interact. 6(3–4), 201–250 (1991)

    Article  Google Scholar 

  59. Mark, M.A., Greer, J.E.: The VCR tutor: effective instruction for device operation. J. Learn. Sci. 4, 209–246 (1995)

    Article  Google Scholar 

  60. Mattelmäki, T., Battarbee, K.: Empathy probes. In: Participatory Design Conference, Palo Alto, California, pp. 266–271 (2002)

  61. Mieczakowski, A., Langdon, P., Clarkson, P.J.: Specifying an inclusive model of product-user interaction. In: International Conference on Engineering Design, Stanford, California, pp. 143–154 (2009)

  62. Mossink, J.C.M.: Evaluation of design practice and the implementation of ergonomics. Ergonomics 33(5), 613–619 (1990)

    Article  Google Scholar 

  63. Norman, D.A.: Some observations on mental models. In: Gentner, D., Stevens, A.L. (eds.) Mental Models, pp. 7–14. Lawrence Erlbaum Associates, Hillsdale (1983)

    Google Scholar 

  64. Norman, D.A.: The Design of Everyday Things. Basic Books, London (2002)

    Google Scholar 

  65. Otto, K., Wood, K.: Product Design: Techniques in Reverse Engineering, Systematic Design, and New Product Development. Prentice-Hall, New York (2001)

    Google Scholar 

  66. Payne, S.J.: Mental models in human-computer interaction. In: Jacko, J.A., Sears, A. (eds.) The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications, pp. 63–76. Taylor & Francis, New York (2008)

    Google Scholar 

  67. Persad, U., Langdon, P., Clarkson, P.J.: Characterising user capabilities to support inclusive design evaluation. Univ. Access Inf. Soc. 6, 119–135 (2007). Special Issue on Designing Accessible Technology

    Article  Google Scholar 

  68. Popovic, V.: Activity and designing pleasurable interaction with everyday products. In: Green, W. (ed.) Pleasure with Products: Beyond Usability, pp. 367–375. Taylor & Francis, London (2002)

    Google Scholar 

  69. Porter, J.M., Case, K., Marshall, R., Gyi, D., Oliver, R.E.: Beyond Jack and Jill: designing for individuals using HADRIAN. Int. J. Ind. Ergon. 33, 249–264 (2004)

    Article  Google Scholar 

  70. Preece, J., Rogers, Y., Sharp, H.: Interaction Design: Beyond Human-Computer Interaction. Wiley, New York (2002)

    Google Scholar 

  71. Rasmussen, J.: Skills, rules, and knowledge: signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. Syst. Man Cybern. 13, 257–266 (1983)

    Article  Google Scholar 

  72. Rasmussen, J., Pejtersen, A., Goodstein, L.P.: Cognitive Systems Engineering. Wiley, New York (1994)

    Google Scholar 

  73. Reason, J.T.: Human Error. Cambridge University Press, Cambridge (1990)

    Book  Google Scholar 

  74. Ricability: Inclusive design: products that are easy for everyone to use. Disability Rights Commission, DRC/TP/IC (2001)

  75. Rogers, Y.: Mental models and complex tasks. In: Rogers, Y., Rutherford, A., Bibby, P.A. (eds.) Models in the Mind: Theory, Perspective and Application, pp. 145–149. Academic Press, London (1992)

    Google Scholar 

  76. Rutherford, A., Wilson, J.R.: Models of mental models: an ergonomist-psychologist dialogue. In: Trauber, M.J., Ackermann, D. (eds.) Mental Models and Human-Computer Interaction 2, pp. 39–58. Elsevier Science Publishers, Amsterdam (1991)

    Google Scholar 

  77. Ryu, H., Monk, A.: Analysing interaction problems with cyclic interaction theory: low-level interaction walkthrough. Psychol. J. 2(3), 304–330 (2004)

    Google Scholar 

  78. Salustri, F.A., Weerasinghe, J.S., Bracewell, R.H., Eng, N.: Visualizing early engineering design information with diagrams. J. Des. Res. 6, 190–217 (2007)

    Google Scholar 

  79. Shneiderman, B.: Promoting universal usability with multi-layer interface design. In: Conferences on Universal Usability, New York (2003)

  80. Stanton, N.A., Baber, C.: Validating task analysis for error identification: reliability and validity of a human error prediction technique. Ergonomics 48(9), 1097–1113 (2005)

    Article  Google Scholar 

  81. Stanton, N., Hedge, A., Brookhuis, K., Salas, E., Hendrick, H.: Handbook of Human Factors and Ergonomics Methods. CRC Press, Boca Raton (2005)

    Google Scholar 

  82. Thomas, D.R.: A general inductive approach for analysing qualitative evaluation data. Am. J. Eval. 27, 237–246 (2006)

    Article  Google Scholar 

  83. Ulwick, A.W.: Turn customer input into innovation. Harvard Business Review 80, 91–97 (2002)

    Google Scholar 

  84. van Engers, T.: Knowledge Management: The Role of Mental Models in Business System Design. PhD thesis, Departmennt of Computer Science, Vrije Universiteit (2001)

  85. van Kleef, E., van Trijp, H., Luning, P.: Consumer research in the early stages of new product development: a critical review of methods and techniques. Food Qual. Prefer. 16, 181–201 (2004)

    Article  Google Scholar 

  86. Waller, S.D., Williams, E.Y., Langdon, P.M., Clarkson, P.J.: Quantifying exclusion for tasks related to product interaction. In: Landgon, P., Clarkson, J., Robinson, P. (eds.) Designing Inclusive Interactions, pp. 57–69. Springer, London (2010)

    Chapter  Google Scholar 

  87. Werhane, P.H.: Moral imagination and systems thinking. J. Bus. Ethics 38, 33–42 (2002)

    Article  Google Scholar 

  88. Yang, M.C., Epstein, D.J.: Study of prototypes, design activity and design outcome. Des. Stud. 26(6), 649–669 (2005)

    Article  Google Scholar 

  89. Young, R.M.: Surrogates and mappings: two kinds of conceptual models for interactive devices. In: Gentner, D., Stevens, A.L. (eds.) Mental Models, pp. 35–52. Lawrence Erlbaum Associates, Hillsdale (1983)

    Google Scholar 

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Mieczakowski, A., Langdon, P. & Clarkson, P.J. Investigating designers’ and users’ cognitive representations of products to assist inclusive interaction design. Univ Access Inf Soc 12, 279–296 (2013). https://doi.org/10.1007/s10209-012-0278-8

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