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Introduction

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Personalizing Haptics

Part of the book series: Springer Series on Touch and Haptic Systems ((SSTHS))

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Abstract

With today’s early state of haptic technology and of consumer exposure to its potential, personalization of haptic experiences may seem premature: few have experienced haptics beyond the binary on/off buzz delivered by a phone or watch. However, far greater possibility is waiting in the wings, with the haptics industry projected to expand dramatically in the coming years and industry practitioners seeking guidelines for how to design rich expressive sensations. In fact, a primary motivation for research in haptic personalization is that, first, broad uptake of the haptic modality is unlikely without personalization, because of major differences in how individuals perceive, prefer, and will ultimately utilize it. Secondly, supporting haptic personalization is not straightforward because so little is understood of how people cognitively interpret and remember touch sensations. Beginning to address this causality dilemma is the purpose of this book.

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Notes

  1. 1.

    Called “taxonomies” in our original conference publication.

  2. 2.

    One facet is left out of the analysis as it pertains to engineering attributes of vibrations.

References

  1. Chan, A., MacLean, K.E., McGrenere, J.: Designing haptic icons to support collaborative turn-taking. Int. J. Hum. Comput. Stud. (IJHCS) 66, 333–355 (2008)

    Article  Google Scholar 

  2. Levesque, V., Oram, L., MacLean, K., Cockburn, A., Marchuk, N.D., Johnson, D., Colgate, J.E., Peshkin, M.A.: Enhancing physicality in touch interaction with programmable friction. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’11), pp. 2481–2490. ACM (2011)

    Google Scholar 

  3. Brunet, L., Megard, C., Paneels, S., Changeon, G., Lozada, J., Daniel, M.P., Darses, F.: Invitation to the voyage: The design of tactile metaphors to fulfill occasional travelers’ needs in transportation networks. In: IEEE World Haptics Conference (WHC ’13), pp. 259–264 (2013). https://doi.org/10.1109/WHC.2013.6548418

  4. Israr, A., Zhao, S., Schwalje, K., Klatzky, R., Lehman, J.: Feel effects: enriching storytelling with haptic feedback. ACM Trans. Appl. Percept. (TAP) 11, 11:1–11:17 (2014)

    Article  Google Scholar 

  5. Tam, D., MacLean, K.E., McGrenere, J., Kuchenbecker, K.J.: The design and field observation of a haptic notification system for timing awareness during oral presentations. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’13), pp. 1689–1698. ACM, New York (2013). https://doi.org/10.1145/2470654.2466223

  6. Ryu, J., Chun, J., Park, G., Choi, S., Han, S.H.: Vibrotactile feedback for information delivery in the vehicle. IEEE Trans. Haptics (ToH) 3(2), 138–149 (2010). https://doi.org/10.1109/TOH.2010.1

    Article  Google Scholar 

  7. Karuei, I., MacLean, K.E.: Susceptibility to periodic vibrotactile guidance of human cadence. In: IEEE Haptics Symposium (HAPTICS ’14), pp. 141–146 (2014). https://doi.org/10.1109/HAPTICS.2014.6775446

  8. 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 

  9. Andrews, S., Mora, J., Lang, J., Lee, W.S.: Hapticast: a physically-based 3d game with haptic feedback. In: Proceedings of FuturePlay (2006)

    Google Scholar 

  10. Enriquez, M., MacLean, K.E.: The role of choice in longitudinal recall of meaningful tactile signals. In: Proceedings of Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 49–56 (2008). https://doi.org/10.1109/HAPTICS.2008.4479913

  11. Swerdfeger, B.A.: A first and second longitudinal study of haptic icon learnability: The impact of rhythm and melody (2009)

    Google Scholar 

  12. Garzonis, S., Jones, S., Jay, T., O’Neill, E.: Auditory icon and earcon mobile service notifications: Intuitiveness, learnability, memorability and preference. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’09), pp. 1513–1522. ACM, New York (2009). https://doi.org/10.1145/1518701.1518932

  13. Schneider, O.S., MacLean, K.E.: Improvising design with a haptic instrument. In: Proceedings of IEEE Haptics Symposium (HAPTICS ’14), pp. 327–332. IEEE (2014)

    Google Scholar 

  14. Schneider, O.S., MacLean, K.E.: Studying design process and example use with macaron, a web-based vibrotactile effect editor. In: Proceedings of IEEE Haptics Symposium (HAPTICS ’16), pp. 52–58 (2016)

    Google Scholar 

  15. Lo, J., Johansson, R.S., et al.: Regional differences and interindividual variability in sensitivity to vibration in the glabrous skin of the human hand. Brain Res. 301(1), 65–72 (1984)

    Article  Google Scholar 

  16. Hollins, M., Bensmaïa, S., Karlof, K., Young, F.: Individual differences in perceptual space for tactile textures: Evidence from multidimensional scaling. Percept. Psychophys. 62(8), 1534–1544 (2000)

    Article  Google Scholar 

  17. Craig, J.C.: Vibrotactile pattern perception: extraordinary observers. Science 196(4288), 450–452 (1977)

    Article  Google Scholar 

  18. Peck, J., Childers, T.L.: Individual differences in haptic information processing: the need for touch scale. J. Consum. Res. 30(3), 430–442 (2003)

    Article  Google Scholar 

  19. 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). http://dl.acm.org/citation.cfm?id=108867

  20. 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). http://dl.acm.org/citation.cfm?id=1979056

  21. 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). http://dl.acm.org/citation.cfm?id=2466145

  22. Nurkka, P.: “Nobody other than me knows what i Want”: customizing a sports watch. In: P. Kotz, G. Marsden, G. Lindgaard, J. Wesson, M. Winckler (eds.) Proceedings of Human-Computer Interaction (INTERACT ’13), vol. 8120 in Lecture Notes in Computer Science, pp. 384–402. Springer, Berlin (2013). http://link.springer.com/chapter/10.1007/978-3-642-40498-6_30

    Chapter  Google Scholar 

  23. Blom, J.O., Monk, A.F.: Theory of personalization of appearance: Why users personalize their pcs and mobile phones. J. Hum.-Comput. Interact. 18(3), 193–228 (2003). http://www.tandfonline.com/doi/abs/10.1207/S15327051HCI1803_1

    Article  Google Scholar 

  24. Henderson, A., Kyng, M.: There’s no place like home: Continuing design in use. In: Design at Work: Cooperative Design of Computer Systems, pp. 219–240. Lawrence Erlbaum Associates Inc. (1992)

    Google Scholar 

  25. Ponsard, A., McGrenere, J.: Anchored customization: Anchoring settings to the application interface to afford customization. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’16), pp. 4154–4165. ACM, New York (2016). https://doi.org/10.1145/2858036.2858129

  26. Fischer, G., Scharff, E.: Meta-design: design for designers. In: Proceedings of the ACM Conference on Designing Interactive Systems (DIS ’00), pp. 396–405. ACM, New York (2000). https://doi.org/10.1145/347642.347798

  27. Haraty, M., McGrenere, J.: Designing for advanced personalization in personal task management. In: Proceedings of the ACM Conference on Designing Interactive Systems (DIS ’16), pp. 239–250. ACM, New York (2016). https://doi.org/10.1145/2901790.2901805

  28. Lieberman, H., Paternò, F., Klann, M., Wulf, V.: End-user development: An emerging paradigm. In: End User Development, pp. 1–8. Springer, Berlin (2006)

    Google Scholar 

  29. Facebook, Inc.: Instagram. https://www.instagram.com/?hl=en. Accessed 21 Oct 2016

  30. Evening, M.: The Adobe Photoshop Lightroom 5 Book: The Complete Guide for Photographers. Pearson Education, London (2013)

    Google Scholar 

  31. Adobe Systems, Inc.: Adobe photoshop. https://www.adobe.com/ca/products/photoshop.html. Accessed 23 Oct 2016

  32. Ducheneaut, N., Wen, M.H., Yee, N., Wadley, G.: Body and mind: A study of avatar personalization in three virtual worlds. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’09), pp. 1151–1160. ACM, New York (2009). https://doi.org/10.1145/1518701.1518877

  33. Kwak, D.H., Clavio, G.E., Eagleman, A.N., Kim, K.T.: Exploring the antecedents and consequences of personalizing sport video game experiences. Sport Mark. Quart. 19(4), 217–225 (2010). http://ezproxy.library.ubc.ca/login?url=http://search.proquest.com/docview/851541557?accountid=14656. Copyright - Copyright Fitness Information Technology, A Division of ICPE West Virginia University Dec 2010; Document feature - Tables; Last updated - 2012-07-06

  34. Wawro, A.: How to use custom vibrations in iOS 5 | PCWorld. http://www.pcworld.com/article/242238/how_to_use_custom_vibrations_in_ios_5.html. Accessed 24 Sept 2013

  35. Immersion Corporation: Haptic effect preview. http://www2.immersion.com/developers/, https://play.google.com/store/apps/details?id=com.immersion.EffectPreview&hl=en. Accessed 24 Jan 2015

  36. Immersion Corporation: Haptic muse. http://www2.immersion.com/developers/, http://ir.immersion.com/releasedetail.cfm?ReleaseID=776428. Accessed 24 Jan 2015

  37. Israr, A., Zhao, S., Schneider, O.: Exploring embedded haptics for social networking and interactions. In: CHI ’15 Extended Abstracts on Human Factors in Computing Systems (CHI EA ’15), pp. 1899–1904. ACM, New York (2015). https://doi.org/10.1145/2702613.2732814

  38. Findlater, L., McGrenere, J.: A comparison of static, adaptive, and adaptable menus. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’04), pp. 89–96. ACM, New York (2004). https://doi.org/10.1145/985692.985704

  39. Gajos, K.Z., Czerwinski, M., Tan, D.S., Weld, D.S.: Exploring the design space for adaptive graphical user interfaces. In: Proceedings of the Working Conference on Advanced Visual Interfaces (AVI ’06), pp. 201–208. ACM, New York (2006). https://doi.org/10.1145/1133265.1133306

  40. Jameson, A.: Adaptive interfaces and agents. Hum.-Comput. Interact.: Des. Issues Solut. Appl. 105, 105–130 (2009)

    Article  Google Scholar 

  41. Mitchell, J., Shneiderman, B.: Dynamic versus static menus: an exploratory comparison. SIGCHI Bull. 20(4), 33–37 (1989). https://doi.org/10.1145/67243.67247

    Article  Google Scholar 

  42. Findlater, L., Gajos, K.Z.: Design space and evaluation challenges of adaptive graphical user interfaces. AI Mag. 30(4), 68 (2009)

    Article  Google Scholar 

  43. Stevens, J.C., Choo, K.K.: Spatial acuity of the body surface over the life span. Somatosens. Motor Res. 13(2), 153–166 (1996)

    Article  Google Scholar 

  44. Hoggan, E., Anwar, S., Brewster, S.A.: Mobile multi-actuator tactile displays. In: International Workshop on Haptic and Audio Interaction Design, pp. 22–33. Springer, Berlin (2007)

    Google Scholar 

  45. Pongrac, H.: Vibrotactile perception: examining the coding of vibrations and the just noticeable difference under various conditions. Multimed. Syst. 13(4), 297–307 (2008). https://doi.org/10.1007/s00530-007-0105-x

    Article  Google Scholar 

  46. Jones, L.A., Sarter, N.B.: Tactile displays: guidance for their design and application. Hum. Factors: J. Hum. Factors Ergon. Soc. 50(1), 90–111 (2008)

    Article  Google Scholar 

  47. Karuei, I., MacLean, K.E., Foley-Fisher, Z., MacKenzie, R., Koch, S., El-Zohairy, M.: Detecting vibrations across the body in mobile contexts. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’11), pp. 3267–3276. ACM, New York (2011)

    Google Scholar 

  48. van Erp, J.B., Spapé, M.M.: Distilling the underlying dimensions of tactile melodies. Proc. Eurohaptics Conf. 2003, 111–120 (2003)

    Google Scholar 

  49. MacLean, K., Enriquez, M.: Perceptual design of haptic icons. In: Proceedings of EuroHaptics Conference, pp. 351–363 (2003)

    Google Scholar 

  50. Brown, L.M., Brewster, S.A., Purchase, H.C.: Tactile crescendos and sforzandos: Applying musical techniques to tactile icon design. In: CHI’06 Extended Abstracts on Human factors in Computing Systems (CHI EA ’06), pp. 610–615. ACM (2006)

    Google Scholar 

  51. Hoggan, E., Brewster, S.: Designing audio and tactile crossmodal icons for mobile devices. In: Proceedings of the 9th ACM International Conference on Multimodal Interfaces (ICMI ’07), pp. 162–169. ACM (2007)

    Google Scholar 

  52. Ternes, D.R.: Building large sets of haptic icons: Rhythm as a design parameter, and between-subjects mds for evaluation. Ph.D. thesis, The University of British Columbia (2007)

    Google Scholar 

  53. MacLean, K.E.: Foundations of transparency in tactile information design. IEEE Trans. Haptics (ToH) 1(2), 84–95 (2008)

    Article  Google Scholar 

  54. Koskinen, E., Kaaresoja, T., Laitinen, P.: Feel-good touch: Finding the most pleasant tactile feedback for a mobile touch screen button. In: Proceedings of the 10th International Conference on Multimodal Interfaces (ICMI ’08), pp. 297–304. ACM, New York (2008). https://doi.org/10.1145/1452392.1452453

  55. Zheng, Y., Morrell, J.B.: Haptic actuator design parameters that influence affect and attention. In: Proceedings of IEEE Haptics Symposium (HAPTICS ’12), pp. 463–470. IEEE (2012)

    Google Scholar 

  56. Yoo, Y., Yoo, T., Kong, J., Choi, S.: Emotional responses of tactile icons: Effects of amplitude, frequency, duration, and envelope. In: Proceedings of IEEE World Haptics Conference (WHC’15), pp. 235–240 (2015). https://doi.org/10.1109/WHC.2015.7177719

  57. O’Sullivan, C., Chang, A.: An Activity Classification for Vibrotactile Phenomena, pp. 145–156. Springer, Berlin (2006). https://doi.org/10.1007/11821731_14

    Chapter  Google Scholar 

  58. Guest, S., Dessirier, J.M., Mehrabyan, A., McGlone, F., Essick, G., Gescheider, G., Fontana, A., Xiong, R., Ackerley, R., Blot, K.: The development and validation of sensory and emotional scales of touch perception. Atten. Percept. Psychophys. 73(2), 531–550 (2011)

    Article  Google Scholar 

  59. Obrist, M., Seah, S.A., Subramanian, S.: Talking about tactile experiences. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’13), pp. 1659–1668. ACM (2013)

    Google Scholar 

  60. Doizaki, R., Watanabe, J., Sakamoto, M.: A system for evaluating tactile feelings expressed by sound symbolic words. In: Auvray, M., Duriez, C., (eds.) Haptics: Neuroscience, Devices, Modeling, and Applications: Proceedings of Eurohaptics, pp. 32–39. Springer, Berlin (2014). https://doi.org/10.1007/978-3-662-44193-0_5

    Google Scholar 

  61. Watanabe, J., Hayakawa, T., Matsui, S., Kano, A., Shimizu, Y., Sakamoto, M.: Visualization of tactile material relationships using sound symbolic words. In: Isokoski, P., Springare, J. (eds.) Proceedings of EuroHaptics Conference, pp. 175–180. Springer, Berlin (2012). https://doi.org/10.1007/978-3-642-31404-9_30

    Chapter  Google Scholar 

  62. Stevens, J.C.: Aging and spatial acuity of touch. J. Gerontol. 47(1), P35–P40 (1992)

    Article  Google Scholar 

  63. Epstein, W., Hughes, B., Schneider, S.L., Bach-y Rita, P.: Perceptual learning of spatiotemporal events: Evidence from an unfamiliar modality. J. Exp. Psychol.: Hum. Percept. Perform. 15(1), 28 (1989). http://psycnet.apa.org/journals/xhp/15/1/28/

    Google Scholar 

  64. Gallace, A., Spence, C.: The cognitive and neural correlates of tactile memory. Psychol. Bull. 135(3), 380 (2009)

    Article  Google Scholar 

  65. Goldreich, D., Kanics, I.M.: Tactile acuity is enhanced in blindness. J. Neurosci. 23(8), 3439–3445 (2003)

    Article  Google Scholar 

  66. Alter, A.L., Oppenheimer, D.M.: Uniting the tribes of fluency to form a metacognitive nation. Personal. Soc. Psychol. Rev. 13(3), 219–235 (2009)

    Article  Google Scholar 

  67. Spence, I., Domoney, D.W.: Single subject incomplete designs for nonmetric multidimensional scaling. Psychometrika 39(4), 469–490 (1974). https://doi.org/10.1007/BF02291669

    Article  Google Scholar 

  68. Tsogo, L., Masson, M., Bardot, A.: Multidimensional scaling methods for many-object sets: A review. Multivar. Behav. Res. 35(3), 307–319 (2000)

    Article  Google Scholar 

  69. Ternes, D., Maclean, K.E.: Designing large sets of haptic icons with rhythm. In: Haptics: Perception, Devices and Scenarios, pp. 199–208. Springer, Berlin (2008)

    Google Scholar 

  70. Amazon.com Inc.: Amazon Mechanical Turk Requester Best Practices Guide (2015)

    Google Scholar 

  71. Kittur, A., Chi, E.H., Suh, B.: Crowdsourcing user studies with mechanical turk. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’08), pp. 453–456. ACM, New York (2008). https://doi.org/10.1145/1357054.1357127

  72. Heer, J., Bostock, M.: Crowdsourcing graphical perception: Using mechanical turk to assess visualization design. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’10), pp. 203–212. ACM, New York (2010). https://doi.org/10.1145/1753326.1753357

  73. Mason, W., Suri, S.: Conducting behavioral research on amazon’s mechanical turk. Behav. Res. Methods 44(1), 1–23 (2012). https://doi.org/10.3758/s13428-011-0124-6

    Article  Google Scholar 

  74. Chilton, L.B., Little, G., Edge, D., Weld, D.S., Landay, J.A.: Cascade: crowdsourcing taxonomy creation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’13), pp. 1999–2008. ACM, New York (2013). https://doi.org/10.1145/2470654.2466265

  75. Xu, A., Huang, S.W., Bailey, B.: Voyant: Generating Structured Feedback on Visual Designs Using a Crowd of Non-Experts. In: ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW ’14), pp. 1433–1444. ACM Press, New York (2014). https://doi.org/10.1145/2531602.2531604

  76. Siangliulue, P., Arnold, K.C., Gajos, K.Z., Dow, S.P.: Toward Collaborative Ideation at Scale - Leveraging Ideas from Others to Generate More Creative and Diverse Ideas Pao. In: Proceedings of ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW ’15), pp. 937–945. ACM Press, New York (2015). https://doi.org/10.1145/2675133.2675239

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Seifi, H. (2019). Introduction. In: Personalizing Haptics. Springer Series on Touch and Haptic Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-11379-7_1

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