Gamma EEG Correlates of Haptic Preferences for a Dial Interface

Wanjoo Park, Da Hye Kim, Sung Phil Kim, Jong Hwan Lee, Laehyun Kim

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Consumers often develop preferences toward consumer electronics based not only on the visual appearance of a product, but also on its haptic interface. If consumers express a strong haptic preference for a consumer electronic product, they are more likely to purchase it. Hence, it is important to understand how consumers' haptic preference for consumer electronics is formed. Conventional paper-based methods may not provide sufficient information for this purpose, because they provide post-event (i.e., after haptic experience) and environment-dependent (i.e., depending on the manner of asking questions, the person asking the questions, and so on.) data. Therefore, the present study investigated haptic preferences for consumer electronics using neural responses during haptic experiences, which provide the advantage of observing changes while the user is manipulating the product and obtaining environment-independent data. We measured neural responses using non-invasive electroencephalography (EEG). Eighteen volunteers participated in the study and manipulated a haptic dial knob that generates four different haptic profiles; during the manipulation, their EEG signals were recorded. After experiencing different haptic profiles, participants reported their level of preference for each profile. The analysis of EEG revealed that frontal gamma oscillations correlate with the level of haptic preferences, with oscillations becoming stronger with increasing haptic preference. The highest correlation between frontal gamma power and haptic preference was found in the early period of the dial task. Therefore, the frontal gamma oscillation of the EEG may represent a neural correlate of the haptic preference and provides a neural basis for understanding this preference in relation to consumer electronics.

Original languageEnglish
Pages (from-to)22324-22331
Number of pages8
JournalIEEE Access
Publication statusPublished - 2018 Apr 16

Bibliographical note

Funding Information:
This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea, Ministry of Education, under Grant 2017R1A6A3A03007052, in part by the Institute for Information and Communications Technology Promotion Grant through the Korean Government under Grant 2017000432, and in part by NRF Grant through the Korean government under Grant NRF-2015M3C7A1065049.

Publisher Copyright:
© 2013 IEEE.


  • Electroencephalography (EEG)
  • brain computer interfaces
  • haptic interfaces

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)


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