Making Lifelogging Usable: Design Guidelines for Activity Trackers

Meyer, Jochen; Fortmann, Jutta; Wasmann, Merlin; Heuten, Wilko

doi:10.1007/978-3-319-14442-9_39

Cited by 34 publications

(22 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example [32], describe a theoretical-based toolkit to support self-motivation and requirements for the design of rehabilitation technologies. At present, there is a keen interest to understand the elements that contribute to effectiveness of such apps [33,34]. With regard to feedback and user engagement mechanisms, [35] conducted one of the few in-the-wild studies to examine the long-term value and design of devices for monitoring fitness activities.…”

Section: Fitness Tracking Ux and Self-determination Theorymentioning

confidence: 99%

“…Design requirements and recommendations for trackers have also been developed, early on by [39] and more recently by [34], however, these cannot easily apply to fitness tracking mobile applications or more generally to consumer health applications. Even more importantly, the benefits of mobile applications to effectively monitor and manage overall health are also challenged see [40] for sleep tracking apps due to low accuracy performance and limited supporting information/feedback provided to users.…”

Section: Fitness Tracking Ux and Self-determination Theorymentioning

confidence: 99%

“…Even more importantly, the benefits of mobile applications to effectively monitor and manage overall health are also challenged see [40] for sleep tracking apps due to low accuracy performance and limited supporting information/feedback provided to users. For instance, [34] point to critical UX issues of interest to human-computer interaction (HCI), including the design and everyday experience of activity trackers; wearability, user interface design, and interaction displays conveying data and information to the users. The study findings highlighted device capabilities for searching, analyzing and measuring on-screen data and information, when meeting specific user goals or milestones.…”

Section: Fitness Tracking Ux and Self-determination Theorymentioning

confidence: 99%

“…Guided by this theoretical approach, our research consisted of an in-depth global online diary study with 34 Healthcare Technology Self-Efficacy (HTSE) [16]. The HTSE instrument was administered at the conclusion of the study and correlated to the results of user diary entries.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables

2017

View full text Add to dashboard Cite

Wearable fitness trackers have gained a new level of popularity due to their ambient data gathering and analysis. This has signalled a trend toward self-efficacy and increased motivation among users of these devices. For consumers looking to improve their health, fitness trackers offer a way to more readily gain motivation via the personal data-based insights the devices offer. However, the user experience (UX) that accompanies wearables is critical to helping users interpret, understand, gain motivation and act on their data. Despite this, there is little evidence as to specific aspects of fitness tracker user engagement and long-term motivation. We report on a 4-week situated diary study and Healthcare Technology Self-efficacy (HTSE) questionnaire assessment of 34 users of two popular American fitness trackers: JawBone and FitBit. The study results illustrate design implications and requirements for fitness trackers and other self-efficacy mobile healthcare applications.

show abstract

Section: Fitness Tracking Ux and Self-determination Theorymentioning

confidence: 99%

Section: Fitness Tracking Ux and Self-determination Theorymentioning

confidence: 99%

Section: Fitness Tracking Ux and Self-determination Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables

2017

View full text Add to dashboard Cite

show abstract

“…Harrison et al [11] focused on the long-term use of Fitbit activity trackers and corresponding behavior changes in users. Nelson et al [4] investigated the health empowerment of Fitbit or Jawbone trackers by conducting quantitative surveys of 210 users; similarly, Meyer et al [14] shed light on the usability of activity trackers in daily life by considering how users perceived and made sense of feedback mechanisms and the way personal information was presented.…”

Section: Related Researchmentioning

confidence: 99%

Activity Trackers, Relational Affordances, and Device Ecologies of Fitness Technologies (Preprint)

Jarrahi¹

2018

Preprint

View full text Add to dashboard Cite

BACKGROUND With the proliferation of activity-tracking devices and other smart tools, more users leverage these technologies to track their physical and fitness-related activities. The research on the benefits (and limitations) of these devices tends to focus on the use of a single tool, leaving out the interactions among multiple technologies, and how these interactions influence the way users perceive affordances of activity trackers. OBJECTIVE The research on the benefits (and limitations) of fitness tacking devices to date tends to focus on the use of a single tool, leaving out the interactions among multiple technologies. Building from an ecological perspective, this work extend the research on activity-tracking devices by providing insight into the relationships among activity tracking devices and other fitness-related technologies within the device ecology of technologies around the user. METHODS This exploratory, qualitative study is based on 29 semi-structured, in-depth interviews with users of Fitbit fitness tracking devices. RESULTS Analysis of the interviews revealed competitive and complementary interactions among various fitness tracking devices, and explained how these interactions influenced the way users perceived affordances of fitness trackers in a device ecology. CONCLUSIONS The affordances of fitness devices are not enacted in isolation but are relational to those of other technological options and differing personal preferences and goals of the user.

show abstract

Continuous Wellness Tracking with Firstbeat – Usability, User Experience, and Subjective Wellness Impact

Partala

Saar

Männikkö

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

Making Lifelogging Usable: Design Guidelines for Activity Trackers

Cited by 34 publications

References 9 publications

Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables

Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables

Activity Trackers, Relational Affordances, and Device Ecologies of Fitness Technologies (Preprint)

Continuous Wellness Tracking with Firstbeat – Usability, User Experience, and Subjective Wellness Impact

Contact Info

Product

Resources

About