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Honorable Mention

Generating Haptic Textures with a Vibrotactile Actuator

Published:02 May 2017Publication History

ABSTRACT

Vibrotactile actuation is mainly used to deliver buzzing sensations. But if vibrotactile actuation is tightly coupled to users' actions, it can be used to create much richer haptic experiences. It is not well understood, however, how this coupling should be done or which vibrotactile parameters create which experiences. To investigate how actuation parameters relate to haptic experiences, we built a physical slider with minimal native friction, a vibrotactile actuator and an integrated position sensor. By vibrating the slider as it is moved, we create an experience of texture between the sliding element and its track. We conducted a magnitude estimation experiment to map how granularity, amplitude and timbre relate to the experiences of roughness, adhesiveness, sharpness and bumpiness. We found that amplitude influences the strength of the perceived texture, while variations in granularity and timbre create distinct experiences. Our study underlines the importance of action in haptic perception and suggests strategies for deploying such tightly coupled feedback in everyday devices.

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References

  1. Michel Amberg, Frédéric Giraud, Betty Semail, Paolo Olivo, Géry Casiez, and Nicolas Roussel. 2011. STIMTAC: A Tactile Input Device with Programmable Friction. Proceedings of the 24th Annual ACM Symposium Adjunct on User Interface Software and Technology: 7--8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Sliman Bensmaïa and Mark Hollins. 2005. Pacinian representations of fine surface texture. Perception & psychophysics 67, 5: 842--854.Google ScholarGoogle Scholar
  3. Sliman Bensmaïa, Mark Hollins, and Jeffrey Yau. 2005. Vibrotactile intensity and frequency information in the pacinian system: a psychophysical model. Perception & psychophysics 67, 5: 828--841.Google ScholarGoogle Scholar
  4. Sliman J. BensmaIa and Mark Hollins. 2003. The vibrations of texture. Somatosensory & motor research 20, 1: 33--43.Google ScholarGoogle Scholar
  5. Daniel J. Brewer, David J Meyer, Michael A Peshkin, and J Edward Colgate. 2016. Viscous Textures: Velocity Dependence in Fingertip-Surface Scanning Interaction. Haptics Symposium, 2016 IEEE: 0--5.Google ScholarGoogle Scholar
  6. Heather Culbertson, Juliette Unwin, Benjamin E. Goodman, and Katherine J. Kuchenbecker. 2013. Generating haptic texture models from unconstrained tool-surface interactions. 2013 World Haptics Conference, WHC 2013: 295--300.Google ScholarGoogle Scholar
  7. David Katz. 1989. The World of Touch. Lawrence Erlbaum Associates, New Jersey.Google ScholarGoogle Scholar
  8. Robert H. Gault. 1926. Touch as a Substitute for Hearing in the Interpretation and Control of Speech.Google ScholarGoogle Scholar
  9. George A. Gescheider. 1988. Psychophysical Schaling. Ann. Rev. Psychol 39: 169--200.Google ScholarGoogle ScholarCross RefCross Ref
  10. Marcello Giordano, Stephen Sinclair, and Marcelo M. Wanderley. 2012. Bowing a vibration-enhanced force feedback device. University of Michigan.Google ScholarGoogle Scholar
  11. Sung H. Han, Maengkee Song, and Jiyoung Kwahk. 1999. A systematic method for analyzing magnitude estimation data. International Journal of Industrial Ergonomics 23, 5: 513--524.Google ScholarGoogle ScholarCross RefCross Ref
  12. Ali Israr and Ivan Poupyrev. 2011. Control space of apparent haptic motion. 2011 IEEE World Haptics Conference: 457--462.Google ScholarGoogle ScholarCross RefCross Ref
  13. I. Darian-Smith J.W. Morley, A.W. Goodwin. 1981. Tactile Discrimination of Gratings. Experimental Brain Research 9: 146--158.Google ScholarGoogle Scholar
  14. Programmer Joe. 2016. SteamVR Tracking HDK. SteamVR Tracking HDK > General Discussions. Retrieved September 21, 2016 from http://steamcommunity.com/app/507090/discussions/0/3 60671247404603033/Google ScholarGoogle Scholar
  15. Lynette A. Jones and Hong Z. Tan. 2013. Application of psychophysical techniques to haptic research. IEEE Transactions on Haptics 6, 3: 268--284. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Johan Kildal. 2010. 3D-press: haptic illusion of compliance when pressing on a rigid surface. International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction on ICMI-MLMI '10, ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Ryo Kitada, Toshihiro Hashimoto, Takanori Kochiyama, et al. 2005. Tactile estimation of the roughness of gratings yields a graded response in the human brain: An fMRI study. NeuroImage 25, 1: 90-- 100.Google ScholarGoogle ScholarCross RefCross Ref
  18. Roberta L. Klatzky, Dianne Pawluk, and Angelika Peer. 2013. Haptic perception of material properties and implications for applications. Proceedings of the IEEE 101, 9: 2081--2092.Google ScholarGoogle Scholar
  19. Susan Lederman. 1989. Tactile roughness of grooved surfaces: The touching process and effects of macro and microsurface structure. Perceptual Psychology 15: 45-- 57.Google ScholarGoogle Scholar
  20. Vincent Lévesque, Louise Oram, Karon MacLean, J. Edward Colgate, and Michael a. Peshkin. 2011. Restoring physicality to touch interaction with programmable friction. Digest of Technical Papers IEEE International Conference on Consumer Electronics: 61--62.Google ScholarGoogle ScholarCross RefCross Ref
  21. G. E. Loeb and J. A. Fishel. The Role of Fingerprints in Vibrotactile Discrimination. White paper for DoD Physics of Biology https://researchgate.net/publication/266874623_The_Ro le_of_Fingerprints_in_Vibrotactile_DiscriminationGoogle ScholarGoogle Scholar
  22. Ken Nakagaki, Luke Vink, Jared Counts, et al. 2016. Materiable: Rendering Dynamic Material Properties in Response to Direct Physical Touch with Shape Changing Interfaces. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2764--2772. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Takaaki Nara, Takasaki Masaya, Tachi Susumu, and Higuchi Toshiro. 2000. An Application of SAW to a Tactile Display in Virtual Reality. IEEE Ultrasonics Symposium: 1--4.Google ScholarGoogle ScholarCross RefCross Ref
  24. Takaaki Nara, Masaya Tkasaki, Taro Maeda, Toshiro Higuchi, Shigeru Ando, and Susumu Tachi. 2001. Surface Acoustice Wave (SAW) Tactile Display Based on Proporties of Mehanoreceptors. Proceedings of the Virtual Realtiy Conference. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Shogo Okamoto, Hikaru Nagano, and Yoji Yamada. 2013. Psychophysical dimensions of tactile perception of textures. IEEE Transactions on Haptics 6, 1: 81--93. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Shogo Okamoto, Hikaru Nagano, and Yoji Yamada. 2013. Psychophysical dimensions of tactile perception of textures. IEEE Transactions on Haptics 6, 81--93. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Daniel Pargman and Peter Jakobsson. 2007. Five perspectives on computer game history. interactions 14, 6: 26. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Ivan Poupyrev, Shigeaki Maruyama, and Jun Rekimoto. Ambient Touch: Designing Tactile Interfaces for Handheld Devices. Retrieved July 12, 2016 from http://www.csl.sony.co.jp/ILGoogle ScholarGoogle Scholar
  29. Ivan Poupyrev, Makoto Okabe, and Shigeaki Maruyama. 2004. Haptic feedback for pen computing: directions and strategies. Screen: 1309--1312. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Majken K. Rasmussen and Esben W Pedersen. 2012. Shape-changing interfaces: a review of the design space and open research questions. CHI: 735--744. Retrieved May 16, 2014 from http://dl.acm.org/citation.cfm?id=2207781 Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Joseph M. Romano and Katherine J. Kuchenbecker. 2012. Creating realistic virtual textures from contact acceleration data. IEEE Transactions on Haptics 5, 2: 109--119. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Brandon Shrewsbury. 2011. Providing Haptic Feedback Using the Kinect. Journal of Rehabilitation Research: 321--322. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. S. S. Stevens. 1955. The Measurement of Loudness. The Journal of the Acoustical Society of America 27, 5: 815.Google ScholarGoogle ScholarCross RefCross Ref
  34. Paul Strohmeier, Jesse Burstyn, Juan Pablo Carrascal, Vincent Levesque, and Roel Vertegaal. 2016. ReFlex: A Flexible Smartphone with Active Haptic Feedback for Bend Input. Proc. TEI '16:, 185--192. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Brygg Ullmer and Hiroshi Ishii. 1997. The metaDESK: models and prototypes for tangible user interfaces. Proceedings of the 10th annual ACM symposium on User interface software and technology - UIST '97: 223--232. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Bret Victor. 2011. A brief rant on the future of interaction design. worrydream.com. Retrieved September 21, 2016 from http://worrydream.com/ABriefRantOnTheFutureOfInter actionDesign/Google ScholarGoogle Scholar
  37. Laura Winfield, John Glassmire, J Edward Colgate, and Michael Peshkin. T-PaD: Tactile Pattern Display through Variable Friction Reduction.Google ScholarGoogle Scholar
  38. Matthew Wright and Adrian Freed. 1997. Open Sound Control: A New Protocol for Communicating with Sound Synthesizers. Proc. ICMC 1997, International Computer Music Association, 101--104. Retrieved from http://cnmat.berkeley.edu/publication/open_sound_contr ol_new_protocol_communicating_sound_synthesizersGoogle ScholarGoogle Scholar
  39. Juan Wu, Na Li, Wei Liu, Guangming Song, and Jun Zhang. 2015. Experimental Study on the Perception Characteristics of Haptic Texture by Multidimensional Scaling. IEEE Transactions on Haptics 8, 4: 410--420. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Danfei Xu, Gerald E. Loeb, and Jeremy A Fishel. 2013. Tactile identification of objects using Bayesian exploration. IEEE International Conference on Robotics and Automation (ICRA).Google ScholarGoogle ScholarCross RefCross Ref
  41. Hsin-yun H.-Y. Yao and Vincent Hayward. 2006. An Experiment on Length Perception with a Virtual Rolling Stone. Proc. EuroHaptics Int. Conf.: 275--278.Google ScholarGoogle Scholar
  42. Hsin-Yun Yao and Vincent Hayward. 2010. Design and analysis of a recoil-type vibrotactile transducer. The Journal of the Acoustical Society of America 128, 2: 619--27.Google ScholarGoogle ScholarCross RefCross Ref
  43. Takashi Yoshioka, James C Craig, Graham C Beck, and Steven S Hsiao. 2011. Perceptual constancy of texture roughness in the tactile system. J Neurosci 31, 48: 17603--17611.Google ScholarGoogle ScholarCross RefCross Ref
  44. Siyan Zhao, Ali Israr, and Roberta Klatzky. 2015. Intermanual apparent tactile motion on handheld tablets. IEEE World Haptics Conference, WHC 2015: 241--247.Google ScholarGoogle ScholarCross RefCross Ref
  45. Siyan Zhao, Oliver Schneider, Roberta L. Klatzky, Jill Lehman, and Ali Israr. 2014. FeelCraft: crafting tactile experiences for media using a feel effect library. Proceedings of the adjunct publication of the 27th annual ACM symposium on User interface software and technology, 1: 51--52. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Siyan Zhao, Zachary Schwemler, Adam Fritz, and Ali Israr. Stereo Haptics: Designing Haptic Interactions using Audio Tools Studio-Workshops TEI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. 2015. Apple's "force touch" and "taptic engine" explained. www.theguardian.com. Retrieved September 21, 2016 from https://www.theguardian.com/technology/2015/mar/11/ apples-force-touch-taptic-engine-explained-haptictechnologyGoogle ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
      May 2017
      7138 pages
      ISBN:9781450346559
      DOI:10.1145/3025453

      Copyright © 2017 ACM

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      • Published: 2 May 2017

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