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Hong Z. Tan
Purdue University EE Building |
(I am a Professor Emerita of Electrical and Computer Engineering and no longer supervise students.)
Hong Z. Tan was the Keysight Professor in the Elmore Family School of
Electrical and Computer
Engineering at Purdue University.
She concurrently held courtesy appointments in the School of Mechanical Engineering and
the Department of Psychological Sciences at Purdue University. Her research focuses on
haptic human-machine interfaces and haptic perception.
She has authored or co-authored approximately 200 scholarly
articles. She is known internationally as a leading
expert on haptics psychophysics, taking a perception-based approach to
solving engineering problems. She is frequently invited to give keynote
speeches at international conferences and research institutions,
educating a broad
audience on haptics and its emerging applications in human computer
interaction, robotics, medicine and education.
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Publications (on a separate page)
Highlighted Projects
Select Publications:
Hong Z. Tan, Charlotte M. Reed, Yang Jiao, Zachary D. Perez, E. Courtenay Wilson,
Jaehong Jung, Juan S. Sebastian, and Frederico M. Severgnini,
"Acquisition of 500 English words through a TActile Phonemic Sleeve (TAPS),"
to appear in IEEE Transactions on Haptics, 2020.
Hong Z. Tan, Seungmoon Choi, Frances W. Y. Lau, and Freddy Abnousi,
"Methodologyy for maximizing information transmission of haptic devices: A survey,"
Proceedings of the IEEE, Vol. 108, No. 6, pp. 945-965, 2020.
Juan S. Martinez, Lori L. Holt, Charlotte M. Reed, and Hong Z. Tan,
"Incidental categorization of vibrotactile stimuli,"
IEEE Transactions on Haptics, Vol. 13, No. 1, pp. 73-79, 2020.
Juan S. Martinez, Hong Z. Tan, and Charlotte M. Reed,
"Improving tactile codes for increased speech communication rates in a phonemic-based tactile display,"
IEEE Transactions on Haptics, Vol. 14, No. 1, pp.200-211, 2021.
Funding:
Select Publications:
Gina Clepper, Juan Sebastian Martinez, Ahmed Farooq, Alyse Marie Allred, Kevin McDonald, Ian Carr, Austin Toombs, and Hong Z. Tan,
"Feeling creepy: A haptic haunted house,"
Work in Progress Paper, in Proceedings of the IEEE Haptics Symposium, March 28-31, pp. 562-563, 2020.
Select Past Projects (Videos)

TAPS (TActile Phonemic Sleeve) for Speech Communication through the Skin
We devised a phonemic-based approach to encoding speech sounds (phonemes) as
vibrotactile stimulation patterns on the forearm, conveyed through a 4-by-6 tactor
array. We have tested about 100 participants on TAPS. Our results show that the
best participants can learn up to 500 English words at a rate of 1 word per minute!
Our paper won the IEEE Transactions on Haptics (ToH)
Best Paper Award 2020,
funded by IEEE Robotics and Automation Society to recognize the best ToH paper
published in calendar year 2019.
Charlotte M. Reed, Hong Z. Tan, Zachary D. Perez, E. Courtenay Wilson,
Frederico M. Severgnini, Jaehong Jung, Juan S. Martinez, Yang Jiao, Ali Israr,
Frances Lau, Keith Klumb, Robert Turcott, and Freddy Abnousi,
"A phonemic-based haptic display for speech communication,"
IEEE Transactions on Haptics, Vol. 12, No. 1, pp. 2-17, 2019.
(This article explains the design approach of 39 vibrotactile
patterns for the 39 English phonemes, and provides the details of the 24 position-based consonant codes
and the 15 movement-based vowel codes.)
(This article presents results in terms of total learning
time and word recognition accuracy from 51 participants who were trained to receive
up to 500 English words using the TAPS.)
(This article was actually the "literature review" for the TAPS project, even though
it took longer to be published. A practical and useful insight is that movement-based haptic stimuli is
vivid and distinct, and highly effective at increasing the information transmission of haptic devices.)
(This article demonstrates that task-irrelevant position-based and movement-based
vibrotactile stimuli can be categorized without explicit attention during a visuomotor task.)
(In this article, we revise our haptic phonemic codes by taking into account the frequency of
occurrence of phonemes and phoneme pairs. We show that speech transmission rates could be improved by more
than 50%.)
Video of TAPS


Faculty Research Award (2018)
Faculty Research Award
(2019)
Virtual Reality for Sports Training
We have developed three VR
applications for sports training -- footbal (receiver training for
catching a football from any direction), baseball (hand-eye coordination
training), and Taekwondo (training for kicking/breaking a target).
We use haptic feedback to indicate collision with a virtual object
(e.g., a baseball bat).
Haptic Signal Design for Emotional Communication
How do we design haptic signals that feel like natural phenomena?
We work with designers to explore ways that vibrotactile patterns can
capture the essence of breathing, heartbeat, earthquake, bubbles, etc.
Our ultimate goal is to achieve visceral reactions to hand-crafted haptic
signals.
Sang-Won Shim and Hong Z. Tan,
"palmScape: Calm and pleasant vibrotactile signal,"
in A. Marcus and E. Rosenzweig (Eds.),
Design, User Experience, and Usability, Interaction Design, Proceedings of the 22nd HCI International
Conference (HCII 2020, Part I). Lecture Notes in Computer Science Vol. 12200, Springer, Cham, pp. 532-548, 2020.
Video of Haptic Haunted House

