DATASET ID# 2023-FINGERHINTS

Fingerhints represent finely-controlled, on-finger kinesthetic output used to deliver notifications via the user's body in the context of the on-body computing and interaction paradigm. We release a dataset consisting of 210 fingerhints elicited from 21 participants to effect 10 notification types, e.g., text message, social media, or news notifications. The dataset represents a companion resource for Catană and Vatavu (2023), who analyzed users' perceptions of and preferences for on-finger kinesthetic notifications.

In the on-body computing paradigm, notifications are represented by feedback delivered via the user's body instead on a device outside the body, which challenges the way designers conceptualize notifications and users experience them. For example, Figure (a) shows a volitional extension of the index finger, a state during which the receptors from the muscles and joints pick up on the deformations caused by the underlying movement to bring the finger into that state, and signal the corresponding information to the brain, which forms the kinesthetic awareness of the position and movement of the index finger from internal stimuli only. Figures (b) and (c) show the same effect, although the agency is lost to the device that pulls the finger into the extended state corresponding to an embodied notification, e.g., a discreet extension of the index finger to signal new email (Figure b) and a conspicuous extension to alert the user about an error (Figure c).
Fingerhints can be delivered using various technologies, such as via wearables and finger-augmentation devices, electrical muscle stimulation, etc. Irrespective of the technology, fingerhints can be specified using a technology-agnostic language using three dimensions: flexion-extension, abduction-adduction, and dwell time.

Resources

We release our fingerhints dataset to encourage further studies and developments toward designing on-finger kinesthetic notifications for the on-body interaction and computing paradigm. 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 in your work, please let us know. If you use our dataset and/or code in scientific publications, please reference the paper Catană and Vatavu (2023) that introduced these resources.

Publication

Contact

For any information or suggestion regarding this web page, the dataset, or the source code, please contact Prof. Radu-Daniel Vatavu.