Users with Motor Impairments' Preferences for Wearables Dataset (Dataset ID #UMIPWD-2021)
This dataset contains 2,625 responses collected from 21 participants with motor impairments.
We collected the data by conducting one-to-one structured interviews to evaluate and understand participants' perceptions of
fitness trackers, smartwatches, smartglasses, earbuds, and rings on various dimensions,
including:
- Desirability in response to the statement "I would like to use or I would need this wearable device" (5-point Likert scale from 1 - strongly agree to 5 - strongly disagree).
- Ease-of-Access in reponse to the stamement "This wearable will be easy for me to put on and take off" (5-point Likert scale from 1 - strongly agree to 5 - strongly disagree).
- Ease-of-Wear in reponse to the stamement "This wearable will be easy for me to wear"(5-point Likert scale from 1 - strongly agree to 5 - strongly disagree).
- Ease-of-Use in reponse to the stamement "This wearable will be easy for me to use" (5-point Likert scale from 1 - strongly agree to 5 - strongly disagree).
- Fun in reponse to the stamement "This wearable will be fun to use" (5-point Likert scale from 1 - strongly agree to 5 - strongly disagree).
- Unwanted-Attention in reponse to the stamement "This wearable could draw unwanted attention to my disability, if I were to wear it in public places" (5-point Likert scale from 1 - strongly agree to 5 - strongly disagree).
- Input modality representing preference ratings on 5-point Likert scales (1 - not suitable at all to 5 - very suitable) to interact with wearables via direct touch on the device, using a smartphone app, hand gestures, head gestures, eye gaze, speech, via a brain-computer interface or a chairable.
- Social acceptability to use wearables in various locations (home, sidewalk, passenger on a bus or train, pub or restaurant, and workplace) and in front of various audiences (alone, with partner, friends, colleagues, strangers, and with family members).
Resources
We release our dataset to encourage further studies, research, and development towards more accessible
wearable devices and interactions for users with motor impairments. Our dataset and R code are
freely available to download and use for research purposes under this license.
If you find our dataset and/or code useful for your work, please let us know.
If you use our dataset and/or code to report results in scientific publications, please reference the Ungurean and Vatavu (2021) publication that introduced these resources. Thank you.
If you use our dataset and/or code to report results in scientific publications, please reference the Ungurean and Vatavu (2021) publication that introduced these resources. Thank you.