25/04/2020

Capturing Experts' Mental Models to Organize a Collection of Haptic Devices

Hasti Seifi, Michael Oppermann, Julia Bullard, Karon MacLean, Katherine Kuchenbecker

Keywords: haptics, haptic hardware collection, expert-sourced categorization, mental model, information visualization

Abstract: 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.

The video of this talk cannot be embedded. You can watch it here:
https://www.youtube.com/watch?v=cejcJcERZ2g
(Link will open in new window)
 0
 0
 0
 0
This is an embedded video. Talk and the respective paper are published at CHI 2020 virtual conference. If you are one of the authors of the paper and want to manage your upload, see the question "My papertalk has been externally embedded..." in the FAQ section.

Comments

Post Comment
no comments yet
code of conduct: tbd Characters remaining: 140

Similar Papers