Evaluating the effects of feedback type on older adults’ performance in mid-air pointing and target selection

“Hands-free” pointing techniques used in mid-air gesture interaction require precise motor control and dexterity. Although being applied in a growing number of interaction contexts over the past few years, this input method can be challenging for older users (60+ years old) who experience natural decline in pointing abilities due to natural ageing process. We report the findings of a target acquisition experiment in which older adults had to perform “pointand- select” gestures in mid-air. The experiment investigated the effect of 6 feedback conditions on pointing and selection performance of older users. Our findings suggest that the bimodal combination of Visual and Audio feedback lead to faster target selection times for older adults, but did not lead to making less errors. Furthermore, target location on screen was found to play a more important role in both selection time and accuracy of pointand- select tasks than feedback type

Text or image? Investigating the effects of instruction type on mid-air gesture making with novice older adults

Unlike traditional interaction methods where the same command (e.g. mouse click) is used for different purposes, mid-air gesture interaction often makes use of different gesture commands for different functions, but first novice users need to learn these commands in order to interact with the system successfully. We describe an empirical study with 25 novice older adults that investigated the effectiveness of 3 “on screen” instruction types for demonstrating how to make mid-air gesture commands. We compared three interface design choices for providing instructions: descriptive (text-based), pictorial (static), and pictorial (animated). Results showed a significant advantage of pictorial instructions (static and animated) over text-based instructions for guiding novice older adults in making mid-air gestures with regards to accuracy, completion time and user preference. Pictorial (animated) was the instruction type leading to the fastest gesture making with 100% accuracy and may be the most suitable choice to support age-friendly gesture learning

Movement characteristics and effects of GUI design on how older adults swipe in mid-air

We conducted a study with 25 older adults that aimed to investigate how older users interact with swipe-based interactions in mid-air and how menu sizes may affect swipe characteristics. Our findings suggest that currently-implemented motion-based interaction parameters may not be very well-aligned with the expectations and physical abilities of the older population. In addition, we find that GUI design can shape how older users produce a swipe gesture in mid-air, and that appropriate GUI design can lead to higher success rates for users with little familiarity with this novel input method

An investigation of mid-air gesture interaction for older adults

Older adults (60+) face natural and gradual decline in cognitive, sensory and motor functions that are often the reason for the difficulties that older users come up against when interacting with computers. For that reason, the investigation and design of age-inclusive input methods for computer interaction is much needed and relevant due to an ageing population. The advances of motion sensing technologies and mid-air gesture interaction reinvented how individuals can interact with computer interfaces and this modality of input method is often deemed as a more “natural” and “intuitive” than using purely traditional input devices such mouse interaction. Although explored in gaming and entertainment, the suitability of mid-air gesture interaction for older users in particular is still little known. The purpose of this research is to investigate the potential of mid-air gesture interaction to facilitate computer use for older users, and to address the challenges that older adults may face when interacting with gestures in mid-air. This doctoral research is presented as a collection of papers that, together, develop the topic of ageing and computer interaction through mid-air gestures. The initial point for this research was to establish how older users differ from younger users and focus on the challenges faced by older adults when interacting with mid-air gesture interaction. Once these challenges were identified, this work aimed to explore a series of usability challenges and opportunities to further develop age-inclusive interfaces based on mid-air gesture interaction. Through a series of empirical studies, this research intends to provide recommendations for designing mid-air gesture interaction that better take into consideration the needs and skills of the older population and aims to contribute to the advance of age-friendly interfaces

How do novice older users evaluate and perform mid-air gesture interaction for the first time?

Mid-air gesture interaction is often considered as a "natural" and "intuitive" input method, however, there has been little investigation of how older adults perceive and interact with these interfaces. We report the preliminary results of an experiment in which 20 younger and 20 older adults, without previous experience of gesturing in the air, are asked to perform 15 commonly used gestures and complete 5 computer tasks using mid-air gestures. We aim to learn how each age group engages with mid-air gestures regarding perceived easiness, confidence, intention of use and physical effort