Characterizing Personalization Mechanisms

  • Hasti SeifiEmail author
Part of the Springer Series on Touch and Haptic Systems book series (SSTHS)


In Chap.  2, we found that individual differences in affect cannot be simply modelled based on users’ tactile performance or background. Here, we examine personalization as a way to leverage the affective qualities of vibrations and satisfy diverse tastes; specifically, the desirability and composition of vibrotactile personalization tools for end-users. A review of existing design and personalization tools (haptic and otherwise) yielded five parameters in which such tools can vary: (1) size of design space, (2) granularity of control, (3) provided design framework, (4) facilitated parameter(s), and (5) clarity of design alternatives. We varied these parameters within low-fidelity prototypes of three personalization tools, modeled in some respects on existing popular examples. Results of a Wizard-of-Oz study confirm users’ general interest in customizing everyday vibrotactile signals. Although common in consumer devices, choosing from a list of presets was the least preferred, whereas an option allowing users to balance vibrotactile design control with convenience was favored. We report users’ opinion of the three tools, and link our findings to the five characterizing parameters for personalization tools that we have proposed.


  1. 1.
    Peck, J., Childers, T.L.: Individual differences in haptic information processing: the need for touch scale. J. Consum. Res. 30(3), 430–442 (2003)CrossRefGoogle Scholar
  2. 2.
    Levesque, V., Oram, L., MacLean, K.E.: Exploring the design space of programmable friction for scrolling interactions. In: Proceedings of IEEE Haptic Symposium (HAPTICS ’12), pp. 23–30 (2012)Google Scholar
  3. 3.
    Ternes, D., Maclean, K.E.: Designing large sets of haptic icons with rhythm. In: Haptics: Perception, Devices and Scenarios, pp. 199–208. Springer (2008)Google Scholar
  4. 4.
    MacLean, K.E.: Foundations of transparency in tactile information design. IEEE Trans. Haptics (ToH) 1(2), 84–95 (2008)CrossRefGoogle Scholar
  5. 5.
    Brown, L.M., Brewster, S.A., Purchase, H.C.: A first investigation into the effectiveness of tactons. In: Proceedings of World Haptics Conference (WHC’05), pp. 167–176. (2005)
  6. 6.
    van Erp, J.B., Spapé, M.M.: Distilling the underlying dimensions of tactile melodies. In: Proceedings of Eurohaptics Conference, vol. 2003, pp.111–120 (2003)Google Scholar
  7. 7.
    Changeon, G., Graeff, D., Anastassova, M., Lozada, J.: Tactile emotions: A vibrotactile tactile gamepad for transmitting emotional messages to children with autism. In: Haptics: Perception, Devices, Mobility, and Communication, pp. 79–90. Springer. (2012)CrossRefGoogle Scholar
  8. 8.
    PanÃńels, S., Anastassova, M., Brunet, L.: TactiPEd: easy prototyping of tactile patterns. In: Proceedings of Human-Computer Interaction (INTERACT ’13), pp. 228–245. Springer. (2013)
  9. 9.
    Swindells, C., Maksakov, E., MacLean, K.E., Chung, V.: The role of prototyping tools for haptic behavior design. In: Proceedings of 14th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 161–168. (2006)
  10. 10.
  11. 11.
    Lee, J., Choi, S.: Evaluation of vibrotactile pattern design using vibrotactile score. In: Proceedings of IEEE Haptics Symposium (HAPTICS ’12), pp. 231–238. (2012)
  12. 12.
    Hong, K., Lee, J., Choi, S.: Demonstration-based vibrotactile pattern authoring. In: Proceedings of the Seventh International Conference on Tangible, Embedded and Embodied Interaction (TEI ’13), pp. 219–222 (2013)Google Scholar
  13. 13.
    Wawro, A.: How to use custom vibrations in iOS 5 | PCWorld. Accessed 24 Sept 2013
  14. 14.
    Oh, U., Findlater, L.: The challenges and potential of end-user gesture customization. In: Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’13), pp. 1129–1138. (2013)
  15. 15.
    Marathe, S., Sundar, S.S.: What drives customization?: control or identity? In: Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’11), pp. 781–790. (2011)
  16. 16.
    Mackay, W.E.: Triggers and barriers to customizing software. In: Proceedings of ACM SIGCHI conference on Human Factors in Computing Systems (CHI ’91), pp. 153–160. (1991)
  17. 17.
    Engineering Acoustics, Inc.: C2 tactor Accessed 21 Mar 2017

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of British ColumbiaVancouverCanada

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