Categorization Framework for Usability Issues of Smartwatches and Pedometers for the Older Adults

Khakurel, Jayden; Knutas, Antti; Melkas, Helinä; Penzenstadler, Birgit; Fu, Bo; Porras, Jari

doi:10.1007/978-3-319-92049-8_7

Cited by 7 publications

(5 citation statements)

References 41 publications

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“…The next stages of the project involve the implementation of the technology to individuals' homes and extract data through in the field research. We plan to implement the research design process (slightly adapted) by J. Khakurel et al [19] in which two stages, identifying and prioritising, is used. From the findings, we aim to recognise the effects of MyCompanion's need for interaction and create a second iteration of the system to build upon positive findings.…”

Section: Artefact Creation and Descriptionmentioning

confidence: 99%

MyCompanion: A Digital Social Companion for Assisted Living

Loizides

Jones

Abbasi

et al. 2019

Human-Computer Interaction – INTERACT 2019

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In this work, we present the initial progressive build of a prototype system, dubbed MyCompanion. MyCompanion to improve assisted living, ultimately targeting alleviating social exclusion and loneliness. The system, based on a Raspberry Pi, connects to a user's television set and tracks data from sensors placed around the house. An inbuilt artificial intelligence chat-bot then listens to, as well as instantiates, conversation with the user based on self-imposed triggers. Data from the sensors inform MyCompanion in real time user behaviour and records these readings. We also port MyCompanion software to an anthropomorphic version inside a humanoid robot for us to be able to give a physical dimension to the digital character.

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Section: Artefact Creation and Descriptionmentioning

confidence: 99%

MyCompanion: A Digital Social Companion for Assisted Living

Loizides

Jones

Abbasi

et al. 2019

Human-Computer Interaction – INTERACT 2019

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“…Khakurel et al [35] investigated smartwatch usability issues for older adults, identifying persistent challenges such as screen size, typography, tap detection, and interaction techniques. Notably, screen size and font size emerged as critical factors influencing smartwatch usage.…”

Section: Smartwatches and Older Adultsmentioning

confidence: 99%

Characterizing Glanceable Visualizations: From Perception to Behavior Change

Blascheck¹,

Bentley²,

Choe³

et al. 2021

Mobile Data Visualization

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W E detail and illustrate glanceability as a crucial requirement for several types of mobile visualizations. For example, in a difficult terrain, a runner can only check a smartwatch for elevation or heart rate data for a few hundred milliseconds before the eyes need to refocus on the trail ahead. Such quick information needs differ from those in traditional visualizations that are meant for deep analysis and interaction with possibly large and complex datasets. Visualizations designed for quick information needs are described under a variety of terms in the literature such as glanceable visualizations, glanceable displays, peripheral displays, ambient visualizations, or sometimes as forms of casual visualizations. To clarify how glanceability is used in the field of Visualization, we discuss these related terms with respect to visualization concepts, drawing from not only Visualization but also, Vision Sciences, Human-Computer Interaction, and Ubiquitous Computing, revealing how the use of the term glanceable differs in these communities. Drawing from these different perspectives, we discuss specific values for glanceable mobile visualizations: presence & accessibility, simplicity & understandability, as well as suitability & purposefulness. Based on these values, we explore different evaluation methodologies, ranging from lab studies, to online experiments, to evaluation in the field and conclude with a discussion of open challenges in the design of future glanceable mobile visualizations.

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“…hardware and software. A study conducted on the usability issues showed that screensize, device, size, resolution, and battery are related to the hardware of a smartwatch, while typography, navigation, button location, iconography, and interaction technique are related to the software of a smartwatch interface [14]. In Ref.…”

Section: Barriers and Usability Issues In Smartwatch Interfacesmentioning

confidence: 99%

“…In Ref. [14] it was found that font size was important for older adults and button location should be appropriate with use of proper icon sizes and design. Similarly, interaction techniques should be represented in a simple and effective way for better usability [14].…”

Section: Barriers and Usability Issues In Smartwatch Interfacesmentioning

confidence: 99%

The Design and Evaluation of A New Smartwatch User Interface

Chaudhary

Murano

2021

Int. J. Interact. Mob. Technol.

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<p class="0abstract">This paper discusses and presents a new prototype design for a smartwatch user interface. The user interface was designed aiming to adhere to some of the main universal design principles and be a more usable design. The prototype user interface was then compared with a Samsung Gear S3 smartwatch user interface. The comparison was done via an experiment and a series of realistic tasks. The aspects being investigated were task times, errors and subjective user satisfaction. The data collected were statistically analysed. The overall results showed that the prototype user interface fostered faster task times, fewer errors and more user satisfaction.</p>

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Categorization Framework for Usability Issues of Smartwatches and Pedometers for the Older Adults

Cited by 7 publications

References 41 publications

MyCompanion: A Digital Social Companion for Assisted Living

MyCompanion: A Digital Social Companion for Assisted Living

Characterizing Glanceable Visualizations: From Perception to Behavior Change

The Design and Evaluation of A New Smartwatch User Interface

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