Fully Transparent Haptic Interface for High‐Resolution Tactile Feedback on Touchscreens
Source abstract
Abstract
Abstract Haptic technology has the potential to bring tactile richness to touchscreens on smartphones, tablets, and laptops, unlocking new dimensions for digital interaction and communication. Yet, despite notable advancements in visual resolution, the resolution of tactile pixels—referred to as “taxels”—lags significantly behind, limiting the immersive tactile feedback required for a truly enriched user experience. To bridge this gap, the study presents a transparent haptic interface with a 3D architecture that dynamically reconfigures high‐resolution taxels through a densely integrated actuator array. Each actuator can be precisely inflated through fluid pressure to deliver tactile feedback with exceptional clarity and density, surpassing both the tactile perception and two‐point discrimination thresholds of human fingertips. This haptic interface reveals transformative potential for enhancing touchscreen interactions in applications such as touch panel control, virtual exploration, and gaming, as it can be reversibly attached to various touchscreens and create nuanced topographical features that align with on‐screen visuals.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Tactile and Sensory Interactions · Interactive and Immersive Displays · Teleoperation and Haptic Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing 100191 China
Robotics Institute School of Mechanical Engineering and Automation Beihang University Beijing 100191 China
Department of Biomedical Engineering City University of Hong Kong Hong Kong SAR 999077 China
Department of Mechanics and Engineering Science College of Engineering Peking University Beijing 100871 China
Funding
National Natural Science Foundation of China
References (45)
Show source-provided references
1. 10.1126/scirobotics.abl454310.1126/scirobotics.abl4543 ↗
2. 10.1038/s41928-019-0333-z10.1038/s41928-019-0333-z ↗
3. 10.1038/s41928-024-01151-x10.1038/s41928-024-01151-x ↗
4. 10.1002/adma.20200563010.1002/adma.202005630 ↗
5. 10.1145/297148210.1145/2971482 ↗
6. 10.1109/TOH.2020.299071210.1109/TOH.2020.2990712 ↗
7. 10.1109/TOH.2020.298475410.1109/TOH.2020.2984754 ↗
8. 10.1038/s42256-023-00671-z10.1038/s42256-023-00671-z ↗
9. 10.1002/adma.20200833710.1002/adma.202008337 ↗
10. 10.1126/sciadv.ade245010.1126/sciadv.ade2450 ↗
11. 10.1038/s41586-019-1687-010.1038/s41586-019-1687-0 ↗
12. 10.1038/s41928-022-00765-310.1038/s41928-022-00765-3 ↗
13. 10.1109/JPROC.2012.222107110.1109/JPROC.2012.2221071 ↗
14. 10.1038/s41528-024-00311-510.1038/s41528-024-00311-5 ↗
15. 10.1126/science.118.3062.27710.1126/science.118.3062.277 ↗
16. T. A.Smith J. L.Gorlewicz presented atIEEE World Haptics Conf. (WHC 2017) Munich Germany June2017.
17. 10.1109/TOH.2017.270460310.1109/TOH.2017.2704603 ↗
18. 10.1073/pnas.160390811310.1073/pnas.1603908113 ↗
19. 10.1109/TOH.2019.294941110.1109/TOH.2019.2949411 ↗
20. 10.1109/TOH.2016.260720010.1109/TOH.2016.2607200 ↗
21. 10.1038/s41467-024-51593-210.1038/s41467-024-51593-2 ↗
22. Kajimoto H. · 2012 · 1
23. 10.1002/adma.20200256410.1002/adma.202002564 ↗
24. 10.1126/sciadv.adq202410.1126/sciadv.adq2024 ↗
25. Barde C. R. · Int. J. Emerg. Technol. Adv. Eng. · 2013 · 3 · 351
26. H.Iwata H.Yano F.Nakaizumi R.Kawamura InProceedings of the 28th Annual Conf. on Computer Graphics and Interactive Techniques (SIGGRAPH 2001)ACM New York 2001 pp.469–476.10.1145/383259.383314 ↗
27. Shultz C. · 2023 · 745
28. C.Harrison S. E.Hudson inProc. SIGCHI Conference on Human Factors in Computing Systems (CHI '09) Association for Computing Machinery (ACM) Boston MA2009 299–308.10.1145/1518701.1518749 ↗
29. A.Russomanno Z.Xu S.O'Modhrain B.Gillespie 2017 IEEE World Haptics Conf. (WHC 2017) Munich Germany June2017.
30. V.Miruchna R.Walter D.Lindlbauer M.Lehmann R.vonKlitzing J.Müller in UIST’15: Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology Association for Computing Machinery (ACM) Charlotte NC2015 3–10.10.1145/2807442.2807487 ↗
31. 10.1002/adma.20230763610.1002/adma.202307636 ↗
32. F.Beruscha W.Krautter A.Lahmer M.Pauly 2017 IEEE World Haptics Conf. (WHC 2017) Munich Germany June2017.
33. 10.1097/00006534-197701000-0001010.1097/00006534-197701000-00010 ↗
34. 10.1109/TOH.2014.230912810.1109/TOH.2014.2309128 ↗
35. 10.1126/science.adm686910.1126/science.adm6869 ↗
36. 10.1038/nphoton.2007.2610.1038/nphoton.2007.26 ↗
37. 10.1126/sciadv.abp873810.1126/sciadv.abp8738 ↗
38. 10.1038/s41928-023-01115-710.1038/s41928-023-01115-7 ↗
39. 10.3758/APP.71.7.143910.3758/APP.71.7.1439 ↗
40. 10.1126/sciadv.adt483910.1126/sciadv.adt4839 ↗
41. 10.1126/sciadv.adg120310.1126/sciadv.adg1203 ↗
42. 10.1073/pnas.210655311810.1073/pnas.2106553118 ↗
43. Hapt X Haptic gloves for virtual reality and robotics.https://haptx.com/technology/(accessed: August 2024).
44. 10.1109/JMEMS.2012.219004310.1109/JMEMS.2012.2190043 ↗
45. 10.1109/TOH.2021.313105810.1109/TOH.2021.3131058 ↗