Designing Auditory Feedback from Wearable Weightlifting Devices
People often go to the gym with clear goals – to lose weight, gain strength, or build body tone. To achieve these goals, they may use exercise machines which target specific muscle groups – but these machines require precise movements which may be hard for newcomers to learn properly and avoid injury. Even elite weightlifters were reported having acute or chronic injuries through performing weightlifting incorrectly
Wearable devices have been designed to allow exercisers to track daily activity, or to assist individuals incorrect exercise forms. However, most of the academic work in this area has focused on how to improve the precision of activity recognition for these exercises. There has not been detailed research on the types of feedback these devices could offer users that would lead to better workout experiences and help users maximize their exercise efficiency.
In our paper, we describe a study with 7 active gym users around their reactions to videos of the prototype Ollinfit, a commercial wearable device that corrects exercise forms as users performing weightlifting. Based on brainstorming with our participants around expected features of workout wearables, we provide suggestions to improve the feedback of these devices. For example, the feedback could provide tailored, motivating information like a personal trainer do to inspire the learner, or could provide users with analytical data to inform them about their exercise trend and predictions. These findings have greater implications for any real-time, precise feedback on task performance.
Publication:
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Mengyue Pan, Sagar Salvi, Erin Brady. 2017. Designing Auditory Feedback from Wearable Weightlifting Devices. In CHI EA '18 Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. [Full paper][Poster]
Designing for Self-Efficacy from Novices to Experts for Wearable Fitness Technologies
Performing accurate weightlifting forms is often hard for novices who have just started this type of exercise, and even experienced gym-goers have reported acute or chronic injuries due to performing incorrect weightlifting forms. Moreover, achieving the fitness goals are more than precise work-out forms and healthy diet. It's a process of behavior change, only continuous work-out could help the users to reach their fitness goals.
Wearable devices have been designed to help with instructing users on proper exercise forms and keeping track of daily health conditions. Some specific wearable devices are designed to correct weightlifting forms with sets of plans generated by devices based on users' physical figurations, gender, age, and personal information.
However, those devices simply focus on users' ultimate goals other than their usage of the devices. Different users might have different demands of using those devices. For example, new gym-goers might have less knowledge about weight-lifting forms or any other exercise knowledge, they mainly use the device to learn exercise knowledge such as new forms and appropriate diet with the combination of correcting function. While experienced gym goers primarily utilize the devices for correcting and monitoring their forms to keep them on a good track. However, most of the devices draw attention on generating work-out plans and helping with a healthy diet, few of them focus on how to help users, especially novices, to learn proper forms and continuously motivated users committing to exercise and eventually reach their goals.
In this paper, we interviewed 7 experienced gym-goers and 7 novices to learn about their needs and expectations from wearable fitness devices. We introduced them to existing wearable fitness tools and brainstormed with them to identify ideal features and concerns for these types of devices.
To understand these findings, we re-analyzed our data through the lens of Bandura’s principles of self-efficacy, which include enactive mastery experiences, vicarious experiences, verbal persuasion, and physiological and affective states. While prior work has studied self-efficacy as one component of behavior change, our work focuses explicitly on how these four principles can guide design of wearable devices for holistic fitness across different levels of expertise.
In this work, we differentiate between the needs and practices of people with different levels of expertise in weightlifting, and the impact their expertise had on their experiences of self-efficacy. These findings may have broader implications for the design and study of technologies for behavior change, especially in settings where users encounter challenges that vary over time.
Publication:
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In submission to CHI '19 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems [Full paper]
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