1718192021222320 of 70
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
E-Tactile Flow: Exploring A Novel Path of Pain Relief through Interactive Electrotactile Stimulation
Shandong University, China.
Shandong University, China.
Chinese Academy of Sciences Beijing, China.
Shandong University, China.
Show others and affiliations
2026 (English)In: Conference on Human Factors in Computing Systems - Proceedings / [ed] Oliver N., Shamma D.A., Candello H., Cesar P., Lopes P., Artizzu V., Draxler F., Lopez G., Reinschluessel A.V., Tong X., Toups Dugas P.O., Association for Computing Machinery (ACM), 2026, article id 246Conference paper, Published paper (Refereed)
Abstract [en]

Numerous individuals grapple with chronic or recurrent pain, prompting the exploration for non-pharmacological remedies in human-computer interaction. Redirecting attention from nociceptive signals can effectively alleviate pain, but the path through fine tactile perception is rarely explored. This paper introduce Electronic Tactile Flow, a novel interaction paradigm utilizing an 8*8 electrotactile array to modulate pain through cognitive engagement and Flow theory. We investigated the analgesic effects of top-down (goal-directed) versus bottom-up (stimulus-driven) attention. Results from our user study (N=42) indicate that top-down engagement significantly reduces pain perception compared to passive stimulation. Furthermore, we implemented an adaptive difficulty mechanism that sustains users in an optimal Flow state, which was found to amplify pain relief and immersion. This work presents the first integration of electrotactile interfaces with attentional modulation, offering a promising framework for designing personalized, cognitively interactive pain interventions in HCI. 

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2026. article id 246
Keywords [en]
Attention Mechanisms, Electrotactile Stimulation, Flow Experience, Human-Computer Interaction, Pain Relief
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:bth-29519DOI: 10.1145/3772363.3798723Scopus ID: 2-s2.0-105038099224ISBN: 9798400722813 (print)OAI: oai:DiVA.org:bth-29519DiVA, id: diva2:2061820
Conference
Extended Abtracts of the 2026 CHI Conference on Human Factors in Computing Systems, CHI 2026, Barcelona, April 13-17, 2026
Available from: 2026-05-22 Created: 2026-05-22 Last updated: 2026-05-22Bibliographically approved

Open Access in DiVA

fulltext(3289 kB)16 downloads
File information
File name FULLTEXT01.pdfFile size 3289 kBChecksum SHA-512
adb4704d0c05dec86d1d5c90fb31b07cc4f76d0d9a08e74672a984c365c321718ea61449faff89c8af9810101b2aa17950f4fb45f1f9c371a4bc321a54f841ec
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Hu, Yan

Search in DiVA

By author/editor
Hu, Yan
By organisation
Department of Computer Science
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 87 hits
1718192021222320 of 70
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf