Mobile Technology to Monitor Physical Activity and Wellbeing in Daily Life - Objective and Subjective Experiences of Older Adults

Cabrita, Miriam; Tabak, Monique; Vollenbroek-Hutten, Miriam Marie Rosé

doi:10.5220/0006321101640171

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…In order to gain insights into the factors that make up eHealth usability, we need to go back to the drawing board: analyzing problems end users experience when interacting with eHealth applications. The proper usability of eHealth applications is not just about smooth navigation, clear understanding of used language, or prevention of system errors but also involves the patient's perspective and focuses on understanding how a system supports them in prevention, diagnosis, treatment, or monitoring of their health condition [28][29][30]. However, chronic illnesses can increase patients' feelings of stress and anxiety [31], which can affect the manner in which they interact with an eHealth application and thus the perceived usability.…”

Section: Introductionmentioning

confidence: 99%

Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications

et al. 2021

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Background Usability tests can be either formative (where the aim is to detect usability problems) or summative (where the aim is to benchmark usability). There are ample formative methods that consider user characteristics and contexts (ie, cognitive walkthroughs, interviews, and verbal protocols). This is especially valuable for eHealth applications, as health conditions can influence user-system interactions. However, most summative usability tests do not consider eHealth-specific factors that could potentially affect the usability of a system. One of the reasons for this is the lack of fine-grained frameworks or models of usability factors that are unique to the eHealth domain. Objective In this study, we aim to develop an ontology of usability problems, specifically for eHealth applications, with patients as primary end users. Methods We analyzed 8 data sets containing the results of 8 formative usability tests for eHealth applications. These data sets contained 400 usability problems that could be used for analysis. Both inductive and deductive coding were used to create an ontology from 6 data sets, and 2 data sets were used to validate the framework by assessing the intercoder agreement. Results We identified 8 main categories of usability factors, including basic system performance, task-technology fit, accessibility, interface design, navigation and structure, information and terminology, guidance and support, and satisfaction. These 8 categories contained a total of 21 factors: 14 general usability factors and 7 eHealth-specific factors. Cohen κ was calculated for 2 data sets on both the category and factor levels, and all Cohen κ values were between 0.62 and 0.67, which is acceptable. Descriptive analysis revealed that approximately 69.5% (278/400) of the usability problems can be considered as general usability factors and 30.5% (122/400) as eHealth-specific usability factors. Conclusions Our ontology provides a detailed overview of the usability factors for eHealth applications. Current usability benchmarking instruments include only a subset of the factors that emerged from our study and are therefore not fully suited for summative evaluations of eHealth applications. Our findings support the development of new usability benchmarking tools for the eHealth domain.

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Section: Introductionmentioning

confidence: 99%

Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications

et al. 2021

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Persuasive technology to support active and healthy ageing: An exploration of past, present, and future

Cabrita

Akker

Tabak

et al. 2018

Journal of Biomedical Informatics

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The age of the population worldwide is rapidly increasing, bringing social and economic challenges. Persuasive technology can alleviate the burden on traditional healthcare services when used to support healthy behaviors, for instance in the prevention and treatment of chronic diseases. Additionally, healthy behaviors are key factors for active and healthy ageing by delaying or even reversing functional decline. In this manuscript, we present a multi-perspective analysis of technologies that can be used in the support of active and healthy ageing in the daily life. First, we take the perspective of physical and mental health, by focusing on the promotion of physical activity and emotional wellbeing. From a temporal perspective, we look at how technology evolved from past, present and future. The overview of the literature is structured in four main sections: (1) measurement of current behavior (monitoring), (2) analysis of the data gathered to derive meaningful information (analyzing & reasoning), (3) support the individual in the adoption or maintenance of a behavior (coaching), and (4) tools or interfaces that provide the information to the individual to stimulate the desired behavior (applications). Finally, we provide recommendations for the design, development and implementation of future technological innovations to support Active and Healthy Ageing in daily life.

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Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications (Preprint)

Broekhuis¹,

Velsen²,

Peute³

et al. 2020

Preprint

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BACKGROUND Usability tests can be either formative (where the aim is to detect usability problems) or summative (where the aim is to benchmark usability). There are ample formative methods that can take into account user characteristics and contexts (i.e., cognitive walkthrough, co-discovery, verbal protocols). This is especially valuable for eHealth applications, as health conditions can influence user-technology interaction. However, most summative usability tests do not consider eHealth-specific factors that could potentially affect the usability of a system. One of the reasons for this, is that there are currently no fine-grained frameworks or models of usability factors that are unique for the eHealth domain. OBJECTIVE The goal of this study is to develop an ontology of usability problems, specifically for eHealth applications with patients as their primary end-user group. METHODS We analysed eight datasets, containing the results of eight formative usability tests of eHealth applications. These datasets contained 400 usability problems that were usable for analysis. Both, inductive and deductive coding was used to create the ontology. Six datasets were used to create the ontology; two datasets were used for the validation of the framework by assessing the inter-coder agreement. RESULTS Eight main categories of usability factors were identified: (1) System Basic Performance, (2) Task-Technology Fit, (3) User Accommodativeness, (4) Interface Design, (5) Navigation & Structure, (6) Information & Terminology, (7) Guidance & Support, (8) Satisfaction. These eight categories contain a total of 21 factors: 14 general usability factors and seven context-specific factors. Cohen’s kappa was calculated for two datasets, on both category and factor level. The Kappa’s were all between k = 0.62 and k = 0.67, which is acceptable. Descriptive analysis revealed that approximately 70% of the usability problems can be considered as general usability factors and 30% as eHealth-specific usability factors. CONCLUSIONS Our ontology provides a detailed overview of usability factors for eHealth applications. Current usability benchmarking instruments include only a subset of the factors that emerged from our study and are therefore not fully suited for summative evaluations of eHealth applications. Our findings can support the development of new usability benchmarking tools for the eHealth domain.

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Mobile Technology to Monitor Physical Activity and Wellbeing in Daily Life - Objective and Subjective Experiences of Older Adults

Cited by 3 publications

References 21 publications

Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications

Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications

Persuasive technology to support active and healthy ageing: An exploration of past, present, and future

Conceptualizing Usability for the eHealth Context: Content Analysis of Usability Problems of eHealth Applications (Preprint)

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