Towards a Framework for the Design of Quantitative Experiments: Human-Computer Interaction and Accessibility Research

  • Frode Eika Sandnes
  • Evelyn Eika
  • Fausto Orsi Medola
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10907)


Many students and researchers struggle with the design and analysis of empirical experiments. Such issue may be caused by lack of knowledge about inferential statistics and suitable software tools. Often, students and researchers conduct experiments without having a complete plan for the entire lifecycle of the process. Difficulties associated with the statistical analysis are often ignored. Consequently, one may end up with data that cannot be easily analyzed. This paper discusses the concept sketch of a framework that intends to help students and researchers to design correct empirical experiments by making sound design decisions early in the research process. The framework consists of an IDE, i.e., Integrated (statistical experiment) Development Environment. This IDE helps the user structures an experiment by giving continuous feedback drawing the experimenter’s attention towards potential problems. The output of the IDE is an experimental structure and data format that can be imported to common statistical packages such as JASP in addition to providing guidance about what tests to use.


Inferential statistics Design of experiments Integrated Development Environment Human computer interaction Universal accessibility 


  1. 1.
    Phua, K.: How to make the learning of statistics interesting, fun and personally relevant: using progressive material as examples for in-class analysis and to raise social awareness. Radical Stat. 95, 4 (2007)Google Scholar
  2. 2.
    Gordon, S.: Understanding students’ experiences of statistics in a service course. Stat. Educ. Res. J. 3, 40–59 (2004)Google Scholar
  3. 3.
    Yilmaz, M.R.: The challenge of teaching statistics to non-specialists. J. Stat. Educ. 4, 1–9 (1996)Google Scholar
  4. 4.
    Garfield, J.: Teaching statistics using small-group cooperative learning. J. Stat. Educ. 1, 1–9 (1993)Google Scholar
  5. 5.
    Bland, J.M.: Teaching statistics to medical students using problem-based learning: the Australian experience. BMC Med. Educ. 4, 31 (2004)CrossRefGoogle Scholar
  6. 6.
    Chermak, S., Weiss, A.: Activity-based learning of statistics: using practical applications to improve students’ learning. J. Crim. Justice Educ. 10, 361–372 (1999)CrossRefGoogle Scholar
  7. 7.
    Gemmell, I., Sandars, J., Taylor, S., Reed, K.: Teaching science and technology via online distance learning: the experience of teaching biostatistics in an online Master of Public Health programme. Open Learn. 26, 165–171 (2011)CrossRefGoogle Scholar
  8. 8.
    Sotos, A.E.C., Vanhoof, S., Van den Noortgate, W., Onghena, P.: Students’ misconceptions of statistical inference: a review of the empirical evidence from research on statistics education. Educ. Res. Rev. 2, 98–113 (2007)CrossRefGoogle Scholar
  9. 9.
    Haller, H., Krauss, S.: Misinterpretations of significance: a problem students share with their teachers. Methods Psychol. Res. 7, 1–20 (2002)Google Scholar
  10. 10.
    Gliner, J.A., Leech, N.L., Morgan, G.A.: Problems with null hypothesis significance testing (NHST): what do the textbooks say? J. Exp. Educ. 71, 83–92 (2002)CrossRefGoogle Scholar
  11. 11.
    Reaburn, R.: Introductory statistics course tertiary students’ understanding of p-values. Stat. Educ. Res. J. 13 (2014)Google Scholar
  12. 12.
    Wagenmakers, E.J.: A practical solution to the pervasive problems of p values. Psychon. Bull. Rev. 14, 779–804 (2007)CrossRefGoogle Scholar
  13. 13.
    Skaik, Y.: The bread and butter of statistical analysis “t-test”: uses and misuses. Pak. J. Med. Sci. 31, 1558–1559 (2015)CrossRefGoogle Scholar
  14. 14.
    Wu, S., Jin, Z., Wei, X., Gao, Q., Lu, J., Ma, X., Wu, C., He, Q., Wu, M., Wang, R., Xu, J.: Misuse of statistical methods in 10 leading Chinese medical journals in 1998 and 2008. Sci. World J. 11, 2106–2114 (2011)CrossRefGoogle Scholar
  15. 15.
    Yim, K.H., Nahm, F.S., Han, K.A., Park, S.Y.: Analysis of statistical methods and errors in the articles published in the Korean journal of pain. Korean J. Pain 23, 35–41 (2010)CrossRefGoogle Scholar
  16. 16.
    McCrum-Gardner, E.: Which is the correct statistical test to use? Br. J. Oral Maxillofac. Surg. 46, 38–41 (2008)CrossRefGoogle Scholar
  17. 17.
    Wood, M.: Maths should not be hard: the case for making academic knowledge more palatable. High. Educ. Rev. 34, 3–19 (2002)Google Scholar
  18. 18.
    Khait, A.: Intelligent guesses and numerical experiments as legitimate tools for secondary school algebra. Teach. Math. Appl. 23, 33–40 (2004)Google Scholar
  19. 19.
    Jian, H.-L., Sandnes, F.E., Huang, Y.-P., Cai, L., Law, K.: On students’ strategy-preferences for managing difficult course work. IEEE Trans. Educ. 51, 157–165 (2008)CrossRefGoogle Scholar
  20. 20.
    Jian, H.L., Sandnes, F.E., Huang, Y.P., Huang, Y.M., Hagen, S.: Studies or leisure?: a cross-cultural comparison of Taiwanese and Norwegian engineering students’ preferences for university life. Int. J. Eng. Educ. 26, 227–235 (2010)Google Scholar
  21. 21.
    Jian, H.-L., Sandnes, F.E., Huang, Y.-P., Huang, Y.-M., Hagen, S.: Towards harmonious East-West educational partnerships: a study of cultural differences between Taiwanese and Norwegian engineering students. Asia Pac. Educ. Rev. 11, 585–595 (2010)CrossRefGoogle Scholar
  22. 22.
    Jian, H.L., Sandnes, F.E., Huang, Y.P., Huang, Y.M.: Cultural factors influencing Eastern and Western engineering students’ choice of university. Eur. J. Eng. Educ. 35, 147–160 (2010)CrossRefGoogle Scholar
  23. 23.
    Law, K.M., Sandnes, F.E., Jian, H.L., Huang, Y.P.: A comparative study of learning motivation among engineering students in South East Asia and beyond. Int. J. Eng. Educ. 25(1), 144–151 (2009)Google Scholar
  24. 24.
    Jian, H.-L., Sandnes, F.E., Huang, Y.-P., Law, K., Huang, Y.-M.: The role of electronic pocket dictionaries as an English learning tool among Chinese students. J. Comput. Assist. Learn. 25, 503–514 (2009)CrossRefGoogle Scholar
  25. 25.
    Eika, E., Hsieh, Y.: On Taiwanese pupils’ ability to differentiate between English/l/and/r: a study of L1/L2 cross-language effects. First Language 0142723717709106 (2017)Google Scholar
  26. 26.
    Jian, H.-L.: On English speakers’ ability to communicate emotion in Mandarin. Can. Mod. Lang. Rev. 71, 78–106 (2015)CrossRefGoogle Scholar
  27. 27.
    Jian, H.-L.: Prosodic challenges faced by L1 English speakers reading Mandarin. ACTA Linguistica Hung. 62, 35–62 (2015)CrossRefGoogle Scholar
  28. 28.
    Huang, Y.-P., Chang, T.-W., Chen, J.-R., Sandnes, F.E.: A back propagation based real-time license plate recognition system. Int. J. Pattern Recogn. Artif. Intell. 22, 233–251 (2008)CrossRefGoogle Scholar
  29. 29.
    Huang, Y.P., Hsu, L.W., Sandnes, F.E.: An intelligent subtitle detection model for locating television commercials. IEEE Trans. Man Cybern. B 37, 485–492 (2007)CrossRefGoogle Scholar
  30. 30.
    Huang, Y.P., Chang, Y.T., Sandnes, F.E.: Ubiquitous information transfer across different platforms by QR codes. J. Mob. Multimedia 6, 3–13 (2010)Google Scholar
  31. 31.
    Huang, Y.P., Kao, L.J., Sandnes, F.E.: Predicting ocean salinity and temperature variations using data mining and fuzzy inference. Int. J. Fuzzy Syst. 9, 143–151 (2007)Google Scholar
  32. 32.
    Huang, Y.P., Chang, Y.T., Sandnes, F.E.: Using fuzzy adaptive genetic algorithm for function optimization. In: NAFIPS 2006, Annual Meeting of the North American Fuzzy Information Processing Society, pp. 484–489. IEEE (2006)Google Scholar
  33. 33.
    Sandnes, F.E.: Sorting holiday photos without a GPS: what can we expect from contents-based geo-spatial image tagging? In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds.) PCM 2009. LNCS, vol. 5879, pp. 256–267. Springer, Heidelberg (2009). Scholar
  34. 34.
    Sandnes, F.E.: Where was that photo taken? Deriving geographical information from image collections based on temporal exposure attributes. Multimedia Syst. 16, 309–318 (2010)CrossRefGoogle Scholar
  35. 35.
    Sandnes, F.E.: Determining the geographical location of image scenes based on object shadow lengths. J. Sig. Process. Syst. 65, 35–47 (2011)CrossRefGoogle Scholar
  36. 36.
    Gómez, J.V., Sandnes, F.E., Fernández, B.: Sunlight intensity based global positioning system for near-surface underwater sensors. Sensors 12, 1930–1949 (2012)CrossRefGoogle Scholar
  37. 37.
    Whitney, G., Keith, S., Bühler, C., Hewer, S., Lhotska, L., Miesenberger, K., Sandnes, F.E., Stephanidis, C., Velasco, C.A.: Twenty five years of training and education in ICT design for all and assistive technology. Technol. Disabil. 3, 163–170 (2011)Google Scholar
  38. 38.
    Sandnes, F.E., Herstad, J., Stangeland, A.M., Orsi Medola, F.: UbiWheel: a simple context-aware universal control concept for smart home appliances that encourages active living. In: Proceedings of Smartworld 2017, pp. 446–451. IEEE (2017)Google Scholar
  39. 39.
    Sandnes, F.E., Medola, F.O.: Exploring Russian Tap-Code text entry adaptions for users with reduced target hitting accuracy. In: Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, pp. 33–38. ACM (2016)Google Scholar
  40. 40.
    Sandnes, F.E., Medola, F.O.: Effects of optimizing the scan-path on scanning key-boards with QWERTY-layout for English text. Stud. Health Technol. Inf. 242, 930–938 (2017)Google Scholar
  41. 41.
    Sandnes, F.E.: Evaluating mobile text entry strategies with finite state automata. In: Proceedings of the 7th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 115–121. ACM (2005)Google Scholar
  42. 42.
    Sandnes, F.E., Sinnen, O.: A new strategy for multiprocessor scheduling of cyclic task graphs. Int. J. High Perform. Comput. Netw. 3, 62–71 (2005)CrossRefGoogle Scholar
  43. 43.
    Sandnes, F.E.: Scheduling partially ordered events in a randomised framework: empirical results and implications for automatic configuration management. In: Proceedings of LISA, pp. 47–62. USENIX (2001)Google Scholar
  44. 44.
    Rebreyend, P., Sandnes, F.E., Megson, G.M.: Static multiprocessor task graph scheduling in the genetic paradigm: a comparison of genotype representations. Laboratoire de l’Informatique du Parallelisme, Research report no. 98–25. Ecole Normale Superieure de Lyon (1998)Google Scholar
  45. 45.
    Sandnes, F.E., Jian, H.L., Huang, Y.P., Huang, Y.M.: User interface design for public kiosks: an evaluation of the Taiwan high speed rail ticket vending machine. J. Inf. Sci. Eng. 26, 307–321 (2010)Google Scholar
  46. 46.
    Berget, G., Herstad, J., Sandnes, F.E.: Search, read and write: an inquiry into web accessibility for dyslexics. Stud. Health Technol. Inform. 229, 450–460 (2016)Google Scholar
  47. 47.
    Sandnes, F.E.: What do low-vision users really want from smart glasses? Faces, text and perhaps no glasses at all. In: Miesenberger, K., Bühler, C., Penaz, P. (eds.) ICCHP 2016. LNCS, vol. 9758, pp. 187–194. Springer, Cham (2016). Scholar
  48. 48.
    Eika, E.: Universally designed text on the web: towards readability criteria based on anti-patterns. Stud. Health Technol. Inform. 229, 461–470 (2016)Google Scholar
  49. 49.
    Eika, E., Sandnes, F.E.: Assessing the reading level of web texts for WCAG2.0 compliance—can it be done automatically? In: Di Bucchianico, G., Kercher, P. (eds.) Advances in Design for Inclusion. Advances in Intelligent Systems and Computing, vol. 500, pp. 361–371. Springer, Cham (2016). Scholar
  50. 50.
    Eika, E., Sandnes, F.E.: Authoring WCAG2.0-compliant texts for the web through text readability visualization. In: Antona, M., Stephanidis, C. (eds.) UAHCI 2016. LNCS, vol. 9737, pp. 49–58. Springer, Cham (2016). Scholar
  51. 51.
    Sandnes, F.E., Huang, Y., Jian, H.-L.: Experiences of teaching engineering students in Taiwan from a Western perspective. Int. J. Eng. Educ. 22, 1013–1022 (2006)Google Scholar
  52. 52.
    Sandnes, F.E.: Understanding WCAG2.0 color contrast requirements through 3D color space visualization. Stud. Health Technol. Inform. 229, 366–375 (2016)Google Scholar
  53. 53.
    Sandnes, F.E.: On-screen colour contrast for visually impaired readers: selecting and exploring the limits of WCAG2.0 colours. In: Black, A., Lund, O., Walker, S. (eds.) Information Design: Research and Practice, pp. 405–416. Routledge (2016)Google Scholar
  54. 54.
    Sandnes, F.E., Jian, H.L.: Sketching with Chinese calligraphy. Interactions 19, 62–66 (2012)CrossRefGoogle Scholar
  55. 55.
    Sandnes, F.E.: Communicating panoramic 360 degree immersed experiences: a simple technique for sketching in 3D. In: Antona, M., Stephanidis, C. (eds.) UAHCI 2016. LNCS, vol. 9738, pp. 338–346. Springer, Cham (2016). Scholar
  56. 56.
    Sandnes, F.E.: PanoramaGrid: a graph paper tracing framework for sketching 360-degree immersed experiences. In: Proceedings of the International Working Conference on Advanced Visual Interfaces, pp. 342–343. ACM (2016)Google Scholar
  57. 57.
    Sandnes, F.E.: Sketching 3D immersed experiences rapidly by hand through 2D cross sections. In: Auer, M.E. (ed.) REV2017. LNNS, vol. 22, pp. 1001–1013. Springer, Cham (2017). Scholar
  58. 58.
    Sandnes, F.E., Lianguzov, Y., Rodrigues, O.V., Lieng, H., Medola, F.O., Pavel, N.: Supporting collaborative ideation through freehand sketching of 3D-shapes in 2D using colour. In: Luo, Y. (ed.) CDVE 2017. LNCS, vol. 10451, pp. 123–134. Springer, Cham (2017). Scholar
  59. 59.
    Sandnes, F.E., Lianguzov, Y.: Quick and easy 3D modelling for all: a browser-based 3D-sketching framework. iJOE 13, 120–127 (2017)CrossRefGoogle Scholar
  60. 60.
    Hagen, S., Sandnes, F.E.: Toward accessible self-service kiosks through intelligent user interfaces. Pers. Ubiquit. Comput. 14, 715–721 (2010)CrossRefGoogle Scholar
  61. 61.
    Hagen, S., Sandnes, F.E.: Visual scoping and personal space on shared tabletop surfaces. J. Ambient Intell. Humaniz. Comput. 3, 95–102 (2012)CrossRefGoogle Scholar
  62. 62.
    Chen, W.-C., Cheng, Y.-M., Sandnes, F.E., Lee, C.-L.: Finding suitable candidates: the design of a mobile volunteering matching system. In: Jacko, J.A. (ed.) HCI 2011. LNCS, vol. 6763, pp. 21–29. Springer, Heidelberg (2011). Scholar
  63. 63.
    Lin, M.W., Cheng, Y.M., Yu, W., Sandnes, F.E.: Investigation into the feasibility of using tactons to provide navigation cues in pedestrian situations. In: Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat, pp. 299–302. ACM (2008)Google Scholar
  64. 64.
    Sandnes, F.E.: Reflective text entry: a simple low effort predictive input method based on flexible abbreviations. Procedia Comput. Sci. 67, 105–112 (2015)CrossRefGoogle Scholar
  65. 65.
    Sandnes, F.E., Eika, E.: Head-mounted augmented reality displays on the cheap: a DIY approach to sketching and prototyping low-vision assistive technologies. In: Antona, M., Stephanidis, C. (eds.) UAHCI 2017. LNCS, vol. 10278, pp. 167–186. Springer, Cham (2017). Scholar
  66. 66.
    Sandnes, F.E.: Designing GUIs for low vision by simulating reduced visual acuity: reduced resolution versus shrinking. Stud. Health Technol. Inform. 217, 274–281 (2015)Google Scholar
  67. 67.
    Sandnes, F.E., Huang, Y.P.: From smart light dimmers to the IPOD: text-input with circular gestures on wheel-controlled devices. Int. J. Smart Home 1, 97–108 (2007)Google Scholar
  68. 68.
    Sandnes, F.E., Zhang, X.: User identification based on touch dynamics. In: 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing (UIC/ATC), pp. 256–263. IEEE (2012)Google Scholar
  69. 69.
    Sandnes, F.E., Jian, H.-L.: Pair-wise variability index: evaluating the cognitive difficulty of using mobile text entry systems. In: Brewster, S., Dunlop, M. (eds.) Mobile HCI 2004. LNCS, vol. 3160, pp. 347–350. Springer, Heidelberg (2004). Scholar
  70. 70.
    Sandnes, F.E., Zhao, A.: A contrast colour selection scheme for WCAG2.0-compliant web designs based on HSV-half-planes. In: Proceedings of SMC2015, pp. 1233–1237. IEEE (2015)Google Scholar
  71. 71.
    Sandnes, F.E., Zhao, A.: An interactive color picker that ensures WCAG2.0 compliant color contrast levels. Procedia Comput. Sci. 67, 87–94 (2015)CrossRefGoogle Scholar
  72. 72.
    Sandnes, F.E., Thorkildssen, H.W., Arvei, A., Buverad, J.O.: Techniques for fast and easy mobile text-entry with three-keys. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences. IEEE (2004)Google Scholar
  73. 73.
    Gomez, J.V., Sandnes, F.E.: RoboGuideDog: guiding blind users through physical environments with laser range scanners. Procedia Comput. Sci. 14, 218–225 (2012)CrossRefGoogle Scholar
  74. 74.
    Sandnes, F.E., Huang, Y.P.: Translating the viewing position in single equirectangular panoramic images. In: Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 389–394. IEEE (2016)Google Scholar
  75. 75.
    Medola, F.O., Busto, R.M., Marçal, Â.F., Achour Junior, A., Dourado, A.C.: The sport on quality of life of individuals with spinal cord injury: a case series. Revista Brasileira de Medicina do Esporte 17, 254–256 (2011)CrossRefGoogle Scholar
  76. 76.
    Medola, F.O., Elui, V.M.C., da Silva Santana, C., Fortulan, C.A.: Aspects of manual wheelchair configuration affecting mobility: a review. J. Phys. Ther. Sci. 26, 313–318 (2014)CrossRefGoogle Scholar
  77. 77.
    Lanutti, J.N., Medola, F.O., Gonçalves, D.D., da Silva, L.M., Nicholl, A.R., Paschoarelli, L.C.: The significance of manual wheelchairs: a comparative study on male and female users. Procedia Manuf. 3, 6079–6085 (2015)CrossRefGoogle Scholar
  78. 78.
    Medola, F.O., Purquerio, B.M., Elui, V.M., Fortulan, C.A.: Conceptual project of a servo-controlled power-assisted wheelchair. In: IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 450–454. IEEE (2014)Google Scholar
  79. 79.
    Lahr, G.J.G., Medola, F.O., Sandnes, F.E., Elui, V.M.C., Fortulan, C.A.: Servomotor assistance in the improvement of manual wheelchair mobility. Stud. Health Technol. Inf. 242, 786–792 (2017)Google Scholar
  80. 80.
    da Silva Bertolaccini, G., Nakajima, R.K., de Carvalho Filho, I.F.P., Paschoarelli, L.C., Medola, F.O.: The influence of seat height, trunk inclination and hip posture on the activity of the superior trapezius and longissimus. J. Phys. Ther. Sci. 28, 1602–1606 (2016)CrossRefGoogle Scholar
  81. 81.
    Medola, F.O., Silva, D.C., Fortulan, C.A., Elui, V.M.C., Paschoarelli, L.C.: The influence of handrim design on the contact forces on hands’ surface: a preliminary study. Int. J. Ind. Ergon. 44, 851–856 (2014)CrossRefGoogle Scholar
  82. 82.
    Medola, F.O., Fortulan, C.A., Purquerio, B.D.M., Elui, V.M.C.: A new design for an old concept of wheelchair pushrim. Disabil. Rehabil. Assistive Technol. 7, 234–241 (2012)CrossRefGoogle Scholar
  83. 83.
    Medola, F.O., Paschoarelli, L. C., Silv, D. C., Elui, V. M. C., Fortulan, A.: Pressure on hands during manual wheelchair propulsion: a comparative study with two types of handrim. In: European Seating Symposium, pp. 63–65 (2011)Google Scholar
  84. 84.
    Medola, F.O., Dao, P.V., Caspall, J.J., Sprigle, S.: Partitioning kinetic energy during freewheeling wheelchair maneuvers. IEEE Trans. Neural Syst. Rehabil. Eng. 22, 326–333 (2014)CrossRefGoogle Scholar
  85. 85.
    Berget, G., Mulvey, F., Sandnes, F.E.: Is visual content in textual search interfaces beneficial to dyslexic users? Int. J. Hum.-Comput. Stud. 92–93, 17–29 (2016)CrossRefGoogle Scholar
  86. 86.
    Berget, G., Sandnes, F.E.: Do autocomplete functions reduce the impact of dyslexia on information searching behaviour? A case of Google. J. Am. Soc. Inf. Sci. Technol. 67, 2320–2328 (2016)CrossRefGoogle Scholar
  87. 87.
    Berget, G., Sandnes, F.E.: Searching databases without query-building aids: implications for dyslexic users. Inf. Res. 20 (2015)Google Scholar
  88. 88.
    Sandnes, F.E., Lundh, M.V.: Calendars for individuals with cognitive disabilities: a comparison of table view and list view. In: Proceedings of the 17th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 329–330. ACM (2015)Google Scholar
  89. 89.
    Sandnes, F.E., Tan, T.B., Johansen, A., Sulic, E., Vesterhus, E., Iversen, E.R.: Making touch-based kiosks accessible to blind users through simple gestures. Univ. Access Inf. Soc. 11, 421–431 (2012)CrossRefGoogle Scholar
  90. 90.
    Sandnes, F.E.: Effects of common keyboard layouts on physical effort: implications for kiosks and Internet banking. In: Sandnes, F.E., Lunde, M.T., M., Hauge, A.M., Øverby, E., Brynn, R. (eds.) The Proceedings of Unitech2010: International Conference on Universal Technologies, pp. 91–100. Tapir Academic Publishers (2010)Google Scholar
  91. 91.
    Sandnes, F.E.: Directional bias in scrolling tasks: a study of users’ scrolling behaviour using a mobile text-entry strategy. Behav. Inf. Technol. 27, 387–393 (2008)CrossRefGoogle Scholar
  92. 92.
    Sandnes, F.E., Aubert, A.: Bimanual text entry using game controllers: relying on users’ spatial familiarity with QWERTY. Interact. Comput. 19, 140–150 (2007)CrossRefGoogle Scholar
  93. 93.
    Sandnes, F.E., Huang, Y.P.: Chord level error correction for portable Braille devices. Electron. Lett. 42, 82–83 (2006)CrossRefGoogle Scholar
  94. 94.
    Sandnes, F.E., Huang, Y.P.: Chording with spatial mnemonics: automatic error correction for eyes-free text entry. J. Inf. Sci. Eng. 22, 1015–1031 (2006)Google Scholar
  95. 95.
    Sandnes, F.E.: Can spatial mnemonics accelerate the learning of text input chords? In: Proceedings of the Working Conference on Advanced Visual Interfaces, pp. 245–249. ACM (2006)Google Scholar
  96. 96.
    Sandnes, F.E.: Human performance characteristics of three-finger chord sequences. Procedia Manuf. 3, 4228–4235 (2015)CrossRefGoogle Scholar
  97. 97.
    Basturk, R.: The effectiveness of computer-assisted instruction in teaching introductory statistics. J. Educ. Technol. Soc. 8 (2005)Google Scholar
  98. 98.
    Zaiontz, C.: Real statistics using Excel. Accessed 21 Jan 2017
  99. 99.
    McCullough, B.D., Heiser, D.A.: On the accuracy of statistical procedures in Microsoft Excel 2007. Comput. Stat. Data Anal. 52, 4570–4578 (2008)MathSciNetCrossRefGoogle Scholar
  100. 100.
    Yalta, A.T.: The accuracy of statistical distributions in Microsoft® Excel 2007. Comput. Stat. Data Anal. 52, 4579–4586 (2008)MathSciNetCrossRefGoogle Scholar
  101. 101.
    Mélard, G.: On the accuracy of statistical procedures in Microsoft Excel 2010. Comput. Stat. 29, 1095–1128 (2014)MathSciNetCrossRefGoogle Scholar
  102. 102.
    Crawley, M.J.: The R Book. Wiley, Chichester (2012)Google Scholar
  103. 103.
    Snellenburg, J., Laptenok, S., Seger, R., Mullen, K., Van Stokkum, I.: Glotaran: a Java-based graphical user interface for the R package TIMP. J. Stat. Softw. 49 (2012)Google Scholar
  104. 104.
    Marsman, M., Wagenmakers, E.J.: Bayesian benefits with JASP. Eur. J. Dev. Psychol. 14, 545–555 (2017)CrossRefGoogle Scholar
  105. 105.
    Reis, C., Cartwright, R.: Taming a professional IDE for the classroom. ACM SIGCSE Bull. 36, 156–160 (2004)CrossRefGoogle Scholar
  106. 106.
    Sarkar, A.: The impact of syntax colouring on program comprehension. In: Proceedings of the 26th Annual Conference of the Psychology of Programming Interest Group, pp. 49–58 (2015)Google Scholar
  107. 107.
    Kesler, T.E., Uram, R.B., Magareh-Abed, F., Fritzsche, A., Amport, C., Dunsmore, H.E.: The effect of indentation on program comprehension. Int. J. Man Mach. Stud. 21, 415–428 (1984)CrossRefGoogle Scholar
  108. 108.
    Sandnes, F.E., Eika, E.: A simple MVC-framework for local management of online course material. In: Uskov, V.L., Howlett, R.J., Jain, L.C. (eds.) SEEL 2017. SIST, vol. 75, pp. 143–153. Springer, Cham (2018). Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Frode Eika Sandnes
    • 1
    • 2
  • Evelyn Eika
    • 1
  • Fausto Orsi Medola
    • 3
  1. 1.Department of Computer Science, Faculty of Technology, Art and DesignOsloMet – Oslo Metropolitan UniversityOsloNorway
  2. 2.Faculty of TechnologyWesterdals Oslo School of Art, Communication and TechnologyOsloNorway
  3. 3.FAAC, UNESPBauruBrazil

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