Designing Socially Acceptable Hand-to-Face Input
Authors
Wearable head-mounted displays combine rich graphical output with an impoverished input space. Hand-to-face gestures have been proposed as a way to add input expressivity while keeping control movements unobtrusive. To better understand how to design such techniques, we describe an elicitation study conducted in a busy public space in which pairs of users were asked to generate unobtrusive, socially acceptable hand-to-face input actions. Based on the results, we describe five design strategies: miniaturizing, obfuscating, screening, camouflaging and re-purposing. We instantiate these strategies in two hand-to-face input prototypes, one based on touches to the ear and the other based on touches of the thumbnail to the chin or cheek. Performance assessments characterize time and error rates with these devices. The paper closes with a validation study in which pairs of users experience the prototypes in a public setting and we gather data on the social acceptability of the designs and reflect on the effectiveness of the different strategies.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 67%
Grip-Reach-Touch-Repeat: A Refined Model of Grasp to Encompass One-Handed Interaction with Arbitrary Form Factor Devices
CHI '24· Haptic Wearables +2
- 60%
Characterizing Finger Pitch and Roll Orientation During Atomic Touch Actions
CHI '18· Hand Gesture Recognition +1
- 60%
Designing, Engineering, and Evaluating Gesture User Interfaces
CHI '18· Hand Gesture Recognition +1
- 60%
Chasm: A Screw Based Expressive Compact Haptic Actuator
CHI '20· Haptic Wearables +1
- 60%
XRgonomics: Facilitating the Creation of Ergonomic 3D Interfaces
CHI '21· Hand Gesture Recognition +1
- 60%
Hand Interfaces: Using Hands to Imitate Objects in AR/VR for Expressive Interactions
CHI '22· Hand Gesture Recognition +1
- 60%
Towards a Consensus Gesture Set: A Survey of Mid-Air Gestures in HCI for Maximized Agreement Across Domains
CHI '23· Hand Gesture Recognition +1
- 60%
Non-Natural Interaction Design
CHI '25· Hand Gesture Recognition +1
- 60%
FingerGlass: Enhancing Smart Glasses Interaction via Fingerprint Sensing
CHI '25· Haptic Wearables +1
- 60%
Verbal Descriptors for Electrotactile Stimulation
CHI '26· Electrical Muscle Stimulation (EMS) +1
Based on Jaccard similarity of research subtopics & professions (≥60%)