Haptic Pattern Exploration in an Arm-Mounted Solenoid Array

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1224)


A haptic device with a row of 4 solenoids was used to present 7 kinds of pattern stimuli to the forearm. Patterns were uniquely named (e.g. “choppy-motor”), with 3 variants per pattern, designed to be “bad”, “moderate”, and “good” representations of the verbally-announced sensation. Participants were asked to rank each pattern on a 5-point Likert scale, ranking how well a sensation corresponded to its name. Each participant completed two trials, separated by a 5-min break, ranking the 21 randomized pattern variants twice. The results show general likability for most of the “good” variants of the patterns. Pattern likability increased between trials, indicating that increased exposure to this modality may increase believability of patterns. Data shows a positive, near linear relationship between pattern variant quality and participant’s rankings, indicating that participants can distinguish accurate patterns from inaccurate ones.


Haptic actuation Feel effect Haptic feedback Haptics media Human factors Solenoid actuation Human-centered computing Human computer interaction (HCI) HCI design and evaluation methods User studies 



The authors of this paper would like to thank Carnegie Mellon University Professor Roberta Klatzky and her lab for providing research funding, guiding our experiment design, and assisting in selecting haptic patterns to test. The authors would also like to thank Carnegie Mellon University Professor Lining Yao for providing a fantastic introduction to the world of morphing matter, and for greenlighting the development of this prototype.


  1. 1.
    Hong, J., Pradhan, A., Froehlich, J.E., Findlater, L.: Evaluating wrist-based haptic feedback for non-visual target finding and path tracing on a 2D surface. In: Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2017), pp. 210–219. Association for Computing Machinery, New York (2017).
  2. 2.
    Israr, A., Zhao, S., Schwalje, K., Klatzky, R., Lehman, J.: Feel effects: enriching storytelling with haptic feedback. ACM Trans. Appl. Percept. 11(3), 17 (2014). Article 11CrossRefGoogle Scholar
  3. 3.
    Hasti, S., Zhang, K., MacLean, K.E.: VibViz: Organizing, visualizing and navigating vibration libraries. World Haptics Conference (WHC), 2015 IEEE. IEEE (2015)Google Scholar
  4. 4.
    Courtenay Wilson, E., Reed, C.M., Braida, L.D.: Integration of auditory and vibrotactile stimuli: effects of phase and stimulus- onset asynchrony. J. Acoust. Soc. Am. 126, 1960–1974 (2009)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Carnegie Mellon UniversityPittsburghUSA

Personalised recommendations