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Haptic Intelligence Video Members Publications

Haptipedia

Haptipedia is a taxonomy, database, and interactive visualization of 105 haptic devices. The Haptipedia visualization enables designers with varying backgrounds and purposes to browse this device database according to the attributes that matter to them.

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Haptic Intelligence
Haptic Intelligence
  • Postdoctoral Researcher
Haptic Intelligence
Haptic Intelligence
Director

Publications

Haptic Intelligence Conference Paper Capturing Experts’ Mental Models to Organize a Collection of Haptic Devices: Affordances Outweigh Attributes Seifi, H., Oppermann, M., Bullard, J., MacLean, K. E., Kuchenbecker, K. J. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 1-12, Honolulu, USA, April 2020 (Published)
Humans rely on categories to mentally organize and understand sets of complex objects. One such set, haptic devices, has myriad technical attributes that affect user experience in complex ways. Seeking an effective navigation structure for a large online collection, we elicited expert mental categories for grounded force-feedback haptic devices: 18 experts (9 device creators, 9 interaction designers) reviewed, grouped, and described 75 devices according to their similarity in a custom card-sorting study. From the resulting quantitative and qualitative data, we identify prominent patterns of tagging versus binning, and we report 6 uber-attributes that the experts used to group the devices, favoring affordances over device specifications. Finally, we derive 7 device categories and 9 subcategories that reflect the imperfect yet semantic nature of the expert mental models. We visualize these device categories and similarities in the online haptic collection, and we offer insights for studying expert understanding of other human-centered technology.
DOI BibTeX

Haptic Intelligence Conference Paper Haptipedia: Accelerating Haptic Device Discovery to Support Interaction & Engineering Design Seifi, H., Fazlollahi, F., Oppermann, M., Sastrillo, J. A., Ip, J., Agrawal, A., Park, G., Kuchenbecker, K. J., MacLean, K. E. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 1-12, Glasgow, UK, May 2019 (Published)
Creating haptic experiences often entails inventing, modifying, or selecting specialized hardware. However, experience designers are rarely engineers, and 30 years of haptic inventions are buried in a fragmented literature that describes devices mechanically rather than by potential purpose. We conceived of Haptipedia to unlock this trove of examples: Haptipedia presents a device corpus for exploration through metadata that matter to both device and experience designers. It is a taxonomy of device attributes that go beyond physical description to capture potential utility, applied to a growing database of 105 grounded force-feedback devices, and accessed through a public visualization that links utility to morphology. Haptipedia's design was driven by both systematic review of the haptic device literature and rich input from diverse haptic designers. We describe Haptipedia's reception (including hopes it will redefine device reporting standards) and our plans for its sustainability through community participation.
DOI BibTeX

Haptic Intelligence Miscellaneous Toward Expert-Sourcing of a Haptic Device Repository Seifi, H., Ip, J., Agrawal, A., Kuchenbecker, K. J., MacLean, K. E. Workshop paper (5 pages) published at the CHI Workshop on Designing Crowd-powered Creativity Support Systems, Glasgow, UK, May 2019 (Published)
Haptipedia is an online taxonomy, database, and visualization that aims to accelerate ideation of new haptic devices and interactions in human-computer interaction, virtual reality, haptics, and robotics. The current version of Haptipedia (105 devices) was created through iterative design, data entry, and evaluation by our team of experts. Next, we aim to greatly increase the number of devices and keep Haptipedia updated by soliciting data entry and verification from haptics experts worldwide.
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Haptic Intelligence Miscellaneous Haptipedia: Exploring Haptic Device Design Through Interactive Visualizations Seifi, H., Fazlollahi, F., Park, G., Kuchenbecker, K. J., MacLean, K. E. Hands-on demonstration presented at EuroHaptics, Pisa, Italy, June 2018 (Published)
How many haptic devices have been proposed in the last 30 years? How can we leverage this rich source of design knowledge to inspire future innovations? Our goal is to make historical haptic invention accessible through interactive visualization of a comprehensive library – a Haptipedia – of devices that have been annotated with designer-relevant metadata. In this demonstration, participants can explore Haptipedia’s growing library of grounded force feedback devices through several prototype visualizations, interact with 3D simulations of the device mechanisms and movements, and tell us about the attributes and devices that could make Haptipedia a useful resource for the haptic design community.
BibTeX

Haptic Intelligence Miscellaneous Haptipedia: An Expert-Sourced Interactive Device Visualization for Haptic Designers Seifi, H., MacLean, K. E., Kuchenbecker, K. J., Park, G. Work-in-progress paper (3 pages) presented at the IEEE Haptics Symposium, San Francisco, USA, March 2018 (Published)
Much of three decades of haptic device invention is effectively lost to today’s designers: dispersion across time, region, and discipline imposes an incalculable drag on innovation in this field. Our goal is to make historical haptic invention accessible through interactive navigation of a comprehensive library – a Haptipedia – of devices that have been annotated with designer-relevant metadata. To build this open resource, we will systematically mine the literature and engage the haptics community for expert annotation. In a multi-year broad-based initiative, we will empirically derive salient attributes of haptic devices, design an interactive visualization tool where device creators and repurposers can efficiently explore and search Haptipedia, and establish methods and tools to manually and algorithmically collect data from the haptics literature and our community of experts. This paper outlines progress in compiling an initial corpus of grounded force-feedback devices and their attributes, and it presents a concept sketch of the interface we envision.
BibTeX