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A new approach to perceptual assessment of human-computer interfaces

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Abstract

This paper proposes a new approach and a tool to assess user interfaces by applying the ACE (Automatic Color Equalization) algorithm for computing the alternative distribution of color and contrast for the interface under design. The way humans perceive digital images or interfaces is influenced by their chromatic and spatial composition. The output of the ACE tool suggests changes in the visual composition of the interface that the designer can decide to consider or not in its final version. This semi-automatic approach to visual assessment, where the designer expertise may supervise the results and the following design decisions, allows to add a low-level perceptual testing point of view during the design phase, nowadays not always considered. The paper presents the results of a user test that involved 50 participants and regarded the evaluation of 16 different interfaces (and their alternatives). Results report the effectiveness of this innovative interfaces visual assessment approach and tool.

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References

  1. Albers J (2013) Interaction of color - 50th anniversary edition. Yale University Press

  2. Artusi A, Gatta C, Marini D, Purgathofer W, Rizzi A (2006) Speedup technique for a local automatic colour equalization model. Comput Graph Forum 25 (1):5–14

    Article  Google Scholar 

  3. Banic N, Loncaric S (2013) Light random sprays retinex: exploiting the noisy illumination estimation. Signal Process Lett IEEE 20(12):1240–1243. doi:10.1109/LSP.2013.2285960

    Article  Google Scholar 

  4. Barnard P, May J, Duke D, Duce D (2000) Systems, interactions, and macrotheory. ACM Trans ComputHum Interact 7(2):222–262

    Article  Google Scholar 

  5. Bertalmo M, Cowan J D (2009) Implementing the retinex algorithm with wilsoncowan equations. J Physiol-Paris 103(1):69–72

    Article  Google Scholar 

  6. Bertalmo M, Caselles V, Provenzi E (2009) Issues about retinex theory and contrast enhancement. Int J Comput Vis 83(1):101–119

    Article  Google Scholar 

  7. Bottoni P, Costabile M F, Levialdi S, Mussio P (1997) Defining visual languages for interactive computing. IEEE Trans Syst Man Cybern Part A 27(6):773–783

    Article  Google Scholar 

  8. Bottoni P, Costabile M F, Mussio P (1999) Specification and dialogue control of visual interaction through visual rewriting systems. ACM Trans Program Lang Syst 21(6):1077–1136

    Article  Google Scholar 

  9. Chambah M, Rizzi A, Saint Jean C (2007) Image quality and automatic color equalization. In: Electronic imaging, image quality and system performance. SPIE, San Jose

  10. Fairchild MD, Johnson GM (2004) icam framework for image appearance, differences, and quality. J Electron Imag 13(1):126–138

    Article  Google Scholar 

  11. Fierro M, Ha H G, Ha YH (2009) An automatic color correction method inspired by the retinex and opponent colors theories. In: Optomechatronic technologies. ISOT. International Symposium on, pp 316–321. doi:10.1109/ISOT.2009.5326047

  12. Fogli D, Provenza L P, Bernareggi C (2014) A universal design resource for rich internet applications based on design patterns. In: Universal access in the information society, vol 13, pp 205– 226

  13. Gatta C, Rizzi A, Marini D (2006) Local linear lut method for spatial colour-correction algorithm speed-up. Vis Image Signal Process IEE Proc 153(3):357–363

    Article  Google Scholar 

  14. Gatta C, Rizzi A, Marini D (2007) Perceptually inspired hdr images tone mapping with color correction. Int J Imag Syst Technol 17(5):285–294

    Article  Google Scholar 

  15. Gianini G, Manenti A, Rizzi A (2014) Qbrix: a quantile-based approach to retinex. J Opt Soc Amer A 31(12):2663–2673

    Article  Google Scholar 

  16. Gianini G, Rizzi A, Damiani E (2015) A retinex model based on absorbing markov chains. Submitted to Information Sciences

  17. Hartmann J, Sutcliffe A, Angeli A D (2008) Towards a theory of user judgment of aesthetics and user interface quality. ACM Trans ComputHuman Interact 15(4):15,1–15,30

    Google Scholar 

  18. van der Heijden H (2003) Factors influencing the usage of websites: the case of a generic portal in the netherlands. Inf Manag 40:541–549

    Article  Google Scholar 

  19. Hussain F (1968) An experimental enquiry into the phenomena of aesthetics judgments under varying time conditions. PhD thesis, University of, London, UK

  20. Jobson D, Rahman Zu, Woodell G (1997) Properties and performance of a center/surround retinex. IEEE Trans Image Process 6(3):451–462

    Article  Google Scholar 

  21. Kinchla R, Wolfe J (1979) The order of visual processing: “top-down,” “bottom-up,” or “middle-out”. Percept Psychophys 25(3):225–231. doi:10.3758/BF03202991

    Article  Google Scholar 

  22. Kolås Ø, Farup I, Rizzi A (2011) Spatio-temporal retinex-inspired envelope with stochastic sampling: a framework for spatial color algorithms. J Imaging Sci Technol 55(4):040,503–1040,503–10

    Article  Google Scholar 

  23. Land E H, Mccann J (1971) Lightness and retinex theory. J Opt Soc Amer 61(1):1–11

    Article  Google Scholar 

  24. Lavie T, Tractinsky N (2004) Assessing dimensions of perceived visual aesthetics of web sites. Int J Hum-Comput Stud 60(3):269–298

    Article  Google Scholar 

  25. Lindgaard G, Dudek C (2003) What is this evasive beast we call user satisfaction? vol 15. http://iwc.oxfordjournals.org/content/15/3/429.full.pdf+html

  26. McCann J, Rizzi A (2003) The spatial properties of contrast. In: Color imaging conference 2003, society for imaging science and technology, pp 51–58

  27. McCann J J (2004) Retinex at 40. J Electron Imag 13(1):6–7

    Article  Google Scholar 

  28. Meylan L, Susstrunk S (2006) High dynamic range image rendering with a retinex-based adaptive filter. IEEE Trans Image Process 15(9):2820–2830

    Article  Google Scholar 

  29. Monk A (2008) The product as a fixed-effect fallacy. Hum-Comput Interact 19 (4):371–375

    Article  Google Scholar 

  30. Moroney N, Fairchild M D, Hunt R W, Li C, Luo M R, Newman T (2002) The ciecam02 color appearance model. In: Color and imaging conference, society for imaging science and technology, vol 2002, pp 23–27

  31. Nasar J L (1999) Directions in person-environment research and practice, ashgate, chap perception and evaluation of residential street scenes, pp 229–248

  32. Ouni S, Chambah M, Saint Jean C A R (2008) Daf: differential ace filtering. image quality assessment by automatic color equalization. In: Proc. SPIE 6808, image quality and system performance V

  33. Parraman C, Rizzi A (2006) Searching user preferences in printing: a proposal for an automatic solution. Printing Technology

  34. Parraman C, Rizzi A (2007) User preferences in colour enhancement unsupervised methods for printing. In: Proc. IS&T/SPIE electronic imaging, pp 1–11

  35. Petersen M G, Hallnas L, Jacob R J K (2008) Introduction to special issue on the aesthetics of interaction. ACM Trans ComputHum Interact 15(3):10,1–10,5

    Google Scholar 

  36. Preece J (2004) Humancomputer interaction. AddisonWesley

  37. Provenzi E, Caselles V (2014) A wavelet perspective on variational perceptually-inspired color enhancement. Int J Comput Vis 106(2):153–171

    Article  MathSciNet  MATH  Google Scholar 

  38. Provenzi E, Fierro M, Rizzi A, De Carli L, Gadia D, Marini D (2007) Random spray retinex: a new retinex implementation to investigate the local properties of the model. Trans Img Proc 16(1):162–171

    Article  MathSciNet  Google Scholar 

  39. Provenzi E, Gatta C, Fierro M, Rizzi A (2008) A spatially variant white-patch and gray-world method for color image enhancement driven by local contrast. IEEE Trans Pattern Anal Mach Intell 30(10):1757–1770

    Article  Google Scholar 

  40. Rizzi A, McCann JJ (2007) On the behavior of spatial models of color. In: Proc. IS&T/SPIE electronic imaging 2007

  41. Rizzi A, Gatta C, Marini D (2003) A new algorithm for unsupervised global and local color correction. Pattern Recogn Lett 24(11):1663–1677

    Article  Google Scholar 

  42. Rizzi A, Gatta C, Marini D (2004) From retinex to automatic color equalization: issues in developing a new algorithm for unsupervised color equalization. J Electron Imaging 13(1):75–84

    Article  Google Scholar 

  43. Schenkman BN, Jonsson FU (2000) Aesthetics and preferences of web pages. Behav Inf Technol 19(5):367–377. doi:10.1080/014492900750000063

    Article  Google Scholar 

  44. Sekuler R, Blake R (1994) Perception. McGraw-Hill

  45. Tractinsky N, Katz A S, Ikar D (2000) What is beautiful is usable. Interact Comput 13(2):127–145

    Article  Google Scholar 

  46. Tractinsky N, Cokhavi A, Kirschenbaum M, Sharfi T (2006) Evaluating the consistency of immediate aesthetic perceptions of web pages. Int J Hum-Comput Stud 64(11):1071–1083

    Article  Google Scholar 

  47. Vonikakis V, Andreadis I, Gasteratos A (2008) Fast centre-surround contrast modification. IET Image Process 2(1):19–34

    Article  Google Scholar 

  48. WAI (2015) Web accessibility initiative. http://www.w3.org/WAI/

  49. Ware C (2012) Information visualization: perception for design. Morgan Kaufmann Publishers Inc.

  50. WCAG (2008) Web content accessibility guidelines 2. 0 http://www.w3.org/TR/WCAG20/

  51. Zhang P, Li N (2005) The importance of affective quality. Commun ACM 48 (9):105–108

    Article  Google Scholar 

  52. Zosso D, Tran G, Osher S J (2015) Non-local retinex - a unifying framework and beyond. SIAM J Imag Sci 8(2):787–826

    Article  MathSciNet  MATH  Google Scholar 

  53. Zuffi S, Brambilla C, Beretta G, Scala P (2007) Human computer interaction: legibility and contrast. In: Proceedings of the 14th international conference on image analysis and processing. IEEE computer society, Washington, DC, USA, ICIAP ’07, pp 241–246

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Correspondence to Barbara Rita Barricelli.

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Rizzi, A., Fogli, D. & Barricelli, B.R. A new approach to perceptual assessment of human-computer interfaces. Multimed Tools Appl 76, 7381–7399 (2017). https://doi.org/10.1007/s11042-016-3400-8

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  • DOI: https://doi.org/10.1007/s11042-016-3400-8

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