• DocumentCode
    116284
  • Title

    The effects of menu design on users´ emotions, search performance and mouse behaviour

  • Author

    Yee Mei Lim ; Ayesh, Aladdin ; Stacey, Martin

  • Author_Institution
    Fac. of Appl. Sci. & Comput., Tunku Abdul Rahman Univ. Coll., Kuala Lumpur, Malaysia
  • fYear
    2014
  • fDate
    18-20 Aug. 2014
  • Firstpage
    541
  • Lastpage
    549
  • Abstract
    One should not ignore the fact that affect (or emotion) plays an important role in cognition and learning. For instance, badly designed interface brings negative impact on user´s performance if the user does not find enjoyment in his or her overall experience with the system. Automatic analyses of user behaviour in adaptive e-learning system development is important and it would be good to have an effective yet flexible computation metrics to learn user´s emotion, so that necessary adaptation could be provided to enhance user experience. The introduction of keyboard and mouse analyses shed a light to the development of a non-intrusive and inexpensive automated emotion detection method, as these peripherals are part of the computer system. This research investigates the effects of menu design on users´ emotion, search task performance and their mouse behaviours. The results show that the effects of menu design on users´ search task performance and their mouse behaviours are statistically significant. Menu design factors do affect users´ emotions, which they feel uncomfortable with bad combination of colours, smaller font size, text without code, abbreviated text, use of ambiguous term, random display and the need to scroll. However, their discomfort with the bad menu design does not necessarily affect their search job performance.
  • Keywords
    cognition; computer aided instruction; adaptive e-learning system development; automatic analyses; computer system; flexible computation metrics; inexpensive automated emotion detection method; keyboard analyses; menu design; menu design effects; mouse analyses; mouse behaviour; nonintrusive automated emotion detection method; search performance; search task performance; users emotions; Color; Computers; Image color analysis; Mice; Navigation; Organizations; Web pages; job performance; menu design; menu search; mouse behaviour; user´s emotion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4799-6080-4
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2014.6921514
  • Filename
    6921514