No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
Personalising the User Experience of a Mobile Health Application towards Patient Engagement
... The design proved to be helpful for both parties. The implementation of the personalization aspect was presented and specifically evaluated by Madeira et al. in their later work [22]. The effects of these self-reflective applications are highly dependent on SLPs. ...
... We were surprised to find that the attitudes of PwS towards SLP in China and in western countries are very different. As aforementioned, there are many works helping SLP monitor the progress of their stuttering patients in the western context [22,23] and they reported PwS prefer feedback from SLP than other people [25]. Although qualified SLP could assist and benefit PwS for their speech, SLP service is not always available in China due to its high cost and insufficiency. ...
... Participants appreciated their peers' comments and advice on their problems, kind compliments, and encouragement (DC4). Although prior work also involved the monitor and feedback mechanism, most of them focused on registering the stutter situations in real life for SLP to better diagnose [9,22,23] or practice independently without others' feedback [25]. None of them investigated the effectiveness of peer feedback on their practice sessions, which is important to Chinese PwS due to the shortage of SLP in China [28]. ...
Stuttering is a speech disorder influencing over 70 million people worldwide, including 13 million in China. It causes low self-esteem among other detrimental effects on people who stutter (PwS). Although prior work has explored approaches to assist PwS, they primarily focused on western contexts. In our formative study, we found unique practices and challenges among Chinese PwS. We then iteratively designed an online tool, CoPracTter, to support Chinese PwS practicing speaking fluency with 1) targeted stress-inducing practice scenarios, 2) real-time speech indicators, and 3) personalized timely feedback from the community. We further conducted a seven-day deployment study (N=11) to understand how participants utilized these key features. To our knowledge, it is the first time such a prototype was designed and tested for a long time with multiple PwS participants online simultaneously. Results indicate that personalized practice with targeted scenarios and timely feedback from a supportive community assisted PwS in speaking fluently, staying positive, and facing similar real-life circumstances.
... As well as one feature, customization. Customization means that "the user explicitly states interests and preferences through direct configuration of human-computer interfaces (HCI), system's options or screens" [23]. Personality (e.g Big-Five) [12] [13] App Functionalities (e.g reminder, selfmonitoring)** [21] Knowledge and information (e.g. ...
... Personality (e.g Big-Five) [12] [13] App Functionalities (e.g reminder, selfmonitoring)** [21] Knowledge and information (e.g. expert source, quantity of information) **** [8] [9] Aesthectics (Layout, visual appeal, graphics)* [8] Gamer Profil (e.g Hexad scale) [14] [15] Gamification Features (e.g Rewards, cooperation)**** [12][14] [15] Feedbacks (evaluative, descriptive, comparative)* [22] App Features (customizable ****) [23] Need-for-cognition [16][17] [18] Perception of the social norm [19][20] *present in one scale; **present in two scales; ***present in three scales; ****present in four scales ...
Due to the large number of smartphone users, mHealth has become a popular support to foster users’ health behavior change Personalization is an important factor to increase the effectiveness of mHealth interventions. Based on a literature review, we have listed and categorized personalization concepts associated with behavior change in mHealth into 4 dimensions, users, system functionalities, information, and app properties. The users dimension refers to user-related characteristics such as personality, player profile, need for cognition and perception of social norms. The system functionalities contain the functionalities that can be found in applications such as reminders as well as gamification functionalities such as collectibles. The information dimension concerns the way information is transmitted, such as the source of the message must be expert or the type of feedback to be provided. Finally, there are app properties such as the aesthetics of the application. For the next part, it would be interesting to discover the links we can make between the dimensions.
... The theoretically developed model for personalization is then tested on a few patients. In addition to personalizing the content of push notifications, this model also provides for the possibility of personalizing the frequency of push notifications per user [24]. ...
... In this respect, it is important that users are informed about the frequency as soon as they obtain permission for push notifications [28]. A personalisable frequency could also contribute to increasing the user experience [24]. ...
Using push notifications, companies can address their smartphone app users with advertising messages. Each of these notifications can mean added value for smartphone users in terms of content, but also disruption and interruption. It is therefore important for advertisers to understand how the frequency of message delivery influences consumer acceptance. The systematic review is based on the PRISMA method and initially identifies a total of 18,725 potentially relevant scientific papers. The 17 research articles included in the qualitative synthesis show that push notifications are suitable for encouraging users to use an app and establish new habits. App usage increases with frequency, with particularly active users tolerating higher frequencies. At the same time it is also shown that too high a frequency can be perceived as disturbing and users should therefore be given the opportunity to determine the frequency with which they receive notifications. A gap in research has been identified in particular in studies that look at real observed behaviour of app users instead of behaviour reported via questionnaires and examine the interaction of frequency, content and presentation of notifications.
... This is in line with studies in the literature that confirm the impact of personalisation such as feelings of empowerment, and keeping the patients engaged, which influence the adoption of mHealth apps. 50,51 Technical issues. Technical issues regarding the use of contact tracing app such as draining the battery, and using up mobile phone storage were associated with refusal to download and use the apps, or uninstalling the apps in surveys with over 4000 adults in Australia. ...
Background: Researchers have found innovative ways of using mobile health (mHealth) technologies to prevent the spread of coronavirus disease 2019 (COVID-19). However, fewer studies have been done to determine their adoption and effectiveness. Objective: This review summarises the published evidence on the effect of mHealth technologies on the adoption of COVID-19 preventive measures, prevention knowledge acquisition and risk perception as well as technology adoption features for COVID-19 prevention. Methods: PubMed, IEEE and Google Scholar databases were searched for peer-reviewed literature from 1 January 2020 to 31 March 2022 for studies that evaluated the effect of mHealth technologies on COVID-19 preventive measures adoption, prevention knowledge acquisition and risk perception. Thirteen studies met the inclusion criteria and were included in this review. All the included studies were checked for quality using the mHealth evidence reporting and assessment (mERA) checklist. Results: The review found out that the utilisation of mHealth interventions such as alert text messages, tracing apps and social media platforms was associated with adherence behaviour such as wearing masks, washing hands and using sanitisers, maintaining social distance and avoiding crowded places. The use of contact tracing was linked to low-risk perception as users considered themselves well informed about their status and less likely to pose transmission risks compared to non-users. Privacy and security issues, message personalisation and frequency, technical issues and trust concerns were identified as technology adoption features that influence the use of mHealth technologies for promoting COVID-19 prevention. Conclusion: Utilisation of mHealth may be a feasible and effective way to prevent the spread of COVID-19. However, the small study samples and short study periods prevent generalisation of the findings and calls for larger, longitudinal studies that encompass diverse study settings.
... This is in line with studies in the literature that confirm the impact of personalisation such as feelings of empowerment, and keeping the patients engaged, which influence the adoption of mHealth apps. 50,51 Technical issues. Technical issues regarding the use of contact tracing app such as draining the battery, and using up mobile phone storage were associated with refusal to download and use the apps, or uninstalling the apps in surveys with over 4000 adults in Australia. ...
Background
Researchers have found innovative ways of using mobile health (mHealth) technologies to prevent the spread of coronavirus disease 2019 (COVID-19). However, fewer studies have been done to determine their adoption and effectiveness.
Objective
This review summarises the published evidence on the effect of mHealth technologies on the adoption of COVID-19 preventive measures, prevention knowledge acquisition and risk perception as well as technology adoption features for COVID-19 prevention.
Methods
PubMed, IEEE and Google Scholar databases were searched for peer-reviewed literature from 1 January 2020 to 31 March 2022 for studies that evaluated the effect of mHealth technologies on COVID-19 preventive measures adoption, prevention knowledge acquisition and risk perception. Thirteen studies met the inclusion criteria and were included in this review. All the included studies were checked for quality using the mHealth evidence reporting and assessment (mERA) checklist.
Results
The review found out that the utilisation of mHealth interventions such as alert text messages, tracing apps and social media platforms was associated with adherence behaviour such as wearing masks, washing hands and using sanitisers, maintaining social distance and avoiding crowded places. The use of contact tracing was linked to low-risk perception as users considered themselves well informed about their status and less likely to pose transmission risks compared to non-users. Privacy and security issues, message personalisation and frequency, technical issues and trust concerns were identified as technology adoption features that influence the use of mHealth technologies for promoting COVID-19 prevention.
Conclusion
Utilisation of mHealth may be a feasible and effective way to prevent the spread of COVID-19. However, the small study samples and short study periods prevent generalisation of the findings and calls for larger, longitudinal studies that encompass diverse study settings.
... Finally, users wanted to be able to customize the mHealth intervention themselves, choose when and how they receive reminders, set goals for the future use of the tool, and so on. As reported in [13], the profile of users is a crucial dimension for personalization of mHealth intervention, as well as the customization of apps, enabling the user to state interests and preferences explicitly using a direct configuration of human-computer interfaces or system's options [14]. ...
Personalization is an important factor to increase the user experience (UX) and effectiveness of mHealth solutions. In this paper, we present an innovative approach to the personalization of mHealth apps. A profiling function has been developed based on the physical and psychological characteristics of users, with the final aim to cluster them acting as a guideline to the design and implementation of new functionalities to improve the overall acceptance degree of the app. A preliminary analysis case study has been proposed to evaluate the impact on user experience according to the state of the art to draw useful lessons for future works.
... Zanker et al [66] argued that personalisation can impact a range of outcomes including user engagement, app behaviours, and adoption rates. Recent studies have also found that personalisation of digital health apps can significantly improve health outcomes [4,34], however, the manner in which personalisation is delivered to the users and how they perceived it can be even more important than the extent to which a service is really personalised [33]. Our work builds on the previous literature by further exploring the topic of delivering personalised recommendations in digital mental health from the users' perspective. ...
The recent growth of digital interventions for mental well-being prompts a call-to-arms to explore the delivery of personalised recommendations from a user's perspective. In a randomised placebo study with a two-way factorial design, we analysed the difference between an autonomous user experience as opposed to personalised guidance, with respect to both users' preference and their actual usage of a mental well-being app. Furthermore, we explored users' preference in sharing their data for receiving personalised recommendations, by juxtaposing questionnaires and mobile sensor data. Interestingly, self-reported results indicate the preference for personalised guidance, whereas behavioural data suggests that a blend of autonomous choice and recommended activities results in higher engagement. Additionally, although users reported a strong preference of filling out questionnaires instead of sharing their mobile data, the data source did not have any impact on the actual app use. We discuss the implications of our findings and provide takeaways for designers of mental well-being applications.
Purpose
One of the recommendations in process-based cognitive therapies suggests that functional analysis created by the clinician should be supported by empirical data collected through daily sampling. It enables the computing of a dynamic network of psychological processes and symptoms supporting clinical decisions but also therapeutic progress monitoring. However, the experience sampling solutions available in the market do not enable the automatic creation of this kind of network; thus, the use of this approach in clinical practice is practically impossible without advanced statistical skills and significant time investment. The purpose of the present paper is to describes a protocol of a research project based on a participatory approach aiming to create a solution enabling therapists not only to set up a personalized daily sampling for their patients and collect the data but also providing a fully automated visualization of the network adapted for therapeutic purposes.
Design/methodology/approach
The project will require creating a platform for therapists where they can set up monitoring and receive dynamic networks visualization, creating an experience sampling application for patients connected to the platform and creating an optimal data visualization system that will enable therapists to accurately and quickly interpret the network. A series of participatory workshops, qualitative and quantitative studies are described.
Findings
The presented studies will enable us to evaluate the ergonomy of use of both platform and app in laboratory and ecological settings along with the evaluation of network interpretation accuracy.
Originality/value
To the best of the authors’ knowledge, this is the first participatory design protocol for creating a solution that might enable clinicians to use a dynamic network approach in their everyday clinical practice. The challenges and opportunities of creating this kind of mHealth solution are discussed.
Mobile application is one form of information technology development that continues to increase from year to year. In the development of the digital world, it is increasingly encouraging to increase the affordability of the use of mobile devices (smartphones) to generate the most sustainable technological growth. This enormous growth in its development has given impetus to smartphone manufacturers to produce new applications on mobile devices to meet user needs. A mobile application development must have user interface and user experience aspects as part of the human-computer interaction (HCI) discipline. Mobile applications under development can run on Android and iOS platforms. This study aims to identify research opportunities in the UI/UX aspect of mobile application development whose data was obtained from related journals in 2017-2021 to provide an overview of the latest studies on research related to UI/UX mobile applications and provide analysis on topics and areas that do not have enough information and what factors to focus on. This study uses the Systematic Literature Review (SLR) method. The result of this research is to provide a systematic literature review of existing studies on UI/UX mobile applications. This research is expected to be useful for the HCI community in seeing the UI/UX description in the development of mobile applications to shape the direction of future research.
Stammering is a speech disorder affecting approximately 1% of the worldwide population. It can have associated impacts on daily life, such as loss of confidence in social situations and increased anxiety levels (particularly when speaking to strangers). Work exploring the development of digital tools to support people who stammer (PwS) is emerging. However, there is a paucity of research engaging PwS in the design process, with participation being facilitated mainly in testing phases. In this paper, we describe the user-centered design, development and evaluation of StammerApp, a mobile application to support PwS. We contribute insights into the challenges and barriers that PwS experience day-to-day and reflect on the complexities of designing with this diverse group. Finally, we present a set of design recommendations for the development of tools to support PwS in their everyday interactions, and provide an example of how these might be envisioned through the StammerApp prototype.
Ubiquitous computing is strongly centered on the human, aiming to provide the right information through personalized interfaces and services in context of use to the applications users. We envision a ubiquitous computing based world in which a generic personalization model is applied to different applications, even if from different domains. The model is the core of a cloud-based platform, which guides developers by providing services to help them in the implementation of personalized solutions. Moreover, end-users will be less bothered when starting to use a new application, which already might know something about them in order to automatically adapt itself to the users' preferences and needs. A user's interactions with an application A might be useful to know how to personalize her experience when interacting with an application B. This paper presents the X-Users based solution in order to reach that vision, giving special attention to the personalization modeling. Important contributions of the paper are also two case studies that illustrate how X-Users can be used to help personalizing systems.
This paper describes the project I Aware my Stuttering, which is a system with a focus on a mobile application for smartphones directed to people who stutter. This software will allow users to register their stuttering related situations, registering, for example, the contexts in which they occur, the interlocutors and their reactions to the situations, and the emotions felt. The application provides a reporting module that includes charts to help visualizing how stuttering situations evolve according to several features. It will help promote daily self-monitoring of speech as a means of controlling stuttering, being personalized according to the user profile. The system also offers a module for the speech therapist, which can monitor and receive reports related to users which are her/his patients. This collected data will improve the therapeutic process by enhancing discussion about registers performed immediately after a real context situation. Additionally, this paper presents a first user study conducted to assess and validate the project's purpose and the central module for registration of stuttering related situations.
Stammering results in involuntary disruption of a person's capacity to speak. It begins at an early age and can persist for life for at least 20% of those stammering at 2 years old. Although the aetiological role of anxiety in stammering has not been determined, evidence is emerging that suggests people who stammer are more chronically and socially anxious than those who do not. This is not surprising, given that the symptoms of stammering can be socially embarrassing and personally frustrating, and have the potential to impede vocational and social growth. Implications for DSM-IV diagnostic criteria for stammering and current treatments of stammering are discussed. We hope that this article will encourage a better understanding of the consequences of living with a speech or fluency disorder as well as motivate the development of treatment protocols that directly target the social fears associated with stammering.
Faced with unsustainable costs and enormous amounts of under-utilized data, health care needs more efficient practices, research, and tools to harness the full benefits of personal health and healthcare-related data. Imagine visiting your physician's office with a list of concerns and questions. What if you could walk out the office with a personalized assessment of your health? What if you could have personalized disease management and wellness plan? These are the goals and vision of the work discussed in this paper. The timing is right for such a research direction-given the changes in health care, reimbursement, reform, meaningful use of electronic health care data, and patient-centered outcome mandate. We present the foundations of work that takes a Big Data driven approach towards personalized healthcare, and demonstrate its applicability to patient-centered outcomes, meaningful use, and reducing re-admission rates.
This paper provides a brief overview of stuttering followed by a synopsis of current approaches to treat stuttering in children and adults. Treatment is discussed in terms of multifactorial, operant, speech restructuring, and anxiolytic approaches. Multifactorial and operant treatments are designed for young children who stutter. Both of these approaches involve parent training and differ primarily in their focus on reducing demands on the child (multifactorial) or in their use of response contingent stimulation (operant conditioning). Speech restructuring and anxiolytic approaches are used with adults who stutter. Speech restructuring approaches focus on the mechanics of speech production, and anxiolytic treatments tend to focus on the symptoms and social and vocational challenges of stuttering. The evidence base for these different approaches is outlined. Response contingent therapy (for children) and speech restructuring therapy (for adults) have the most robust empirical evidence base. Multifactorial treatments for children and stuttering management approaches for adults are popular but are based on theoretical models of stuttering; the evidence base is not robust and tends to be inferred from work in areas such as cognitive behavior therapy and desensitization. Comprehensive, or holistic, approaches to treating stuttering are also discussed. Comprehensive approaches for treating stuttering in adults address both improved speech fluency and stuttering management.
The aging of the population creates pressure on the healthcare systems in various ways. A massive increase of chronic disease conditions and age-related illness are predicted as the dominant forces driving the future health care. The objective of this paper is to present future research demands in pervasive healthcare with the goal to meet the healthcare challenges by paving the way for a pervasive, user-centered and preventive healthcare model.
This paper presents recent methodological approaches and proposes future research topics in three areas: i) pervasive, continuous and reliable long-term monitoring systems; ii) prevention through pervasive technology as a key element to maintain lifelong wellness; and iii) design and evaluation methods for ubiquitous, patient-centric technologies.
Pervasive technology has been identified as a strong asset for achieving the vision of user-centered preventive healthcare. In order to make this vision a reality, new strategies for design, development and evaluation of technology have to find a common denominator and consequently interoperate. Moreover, the potential of pervasive healthcare technologies offers new opportunities beyond traditional disease treatment and may play a major role in prevention, e.g. motivate healthy behavior and disease prevention throughout all stages of life. In this sense, open challenges in future research have to be addressed such as the variability of health indicators between individuals and the manner in which relevant health indicators are provided to the users in order to maximize their motivation to mitigate or prevent unhealthy behaviors. Additionally, collecting evidence that pervasive technology improves health is seen as one of the toughest challenges. Promising approaches are recently introduced, such as "clinical proof-of-concept" and balanced observational studies.
The paper concludes that pervasive healthcare will enable a paradigm shift from the established centralized healthcare model to a pervasive, user-centered and preventive overall lifestyle health management. In order to provide these new opportunities everywhere, anytime and to anyone, future research in the fields of pervasive sensing, pervasive prevention and evaluation of pervasive technology is inevitably needed.
The mobile application BroiStu was developed due to the need of having a better insight on the impact of stuttering on people who stutter's everyday life. This paper presents a study on this application, verifying which features of impact of stuttering found in scientific literature are included in the application and making a comparison with a similar application. Furthermore, it also summarises a user study conducted with a first panel of experts. New findings and obtained results are discussed.
More and more users are using mobile apps to achieve changes in their lives related to their health. Given the complex task of accomplishing long-term behavioural change, developers have started to incorporate game elements into their apps as motivational tools and to increase user engagement. However, with increasing number of health-related apps available on mobile platforms every day, several issues have started to arise. In this paper, we critically review the health app landscape from several perspectives. We underline the current lack of scientific theory usage in app development, inefficient and selective embedding of gamification, low levels of personalization and potential privacy and trust issues in this domain. Given the multi-disciplinary nature of this set of problems, we propose integrated and user-centred frameworks as one potential solution direction to resolve problems both users and app-developers are facing today.
Ubiquitous computing is shifting healthcare from treatment by professionals in hospitals to self-care, mobile care, home care and preventive care. In order to support the healthcare evolution, a global healthcare system, which links healthcare service providers to an individual's personal and physical spaces, is expected to provide personalized healthcare services at the right time, right place and right manner. This paper presents an overall architecture for such a context-aware healthcare system. The key technologies such as device self-sensing mechanism, context processing framework and a service interoperability platform are identified and elaborated. A personalized healthcare adviser service has been described to illustrate how personalized healthcare can be well supported by the proposed infrastructure.
Unlabelled:
This paper describes a new instrument for evaluating the experience of the stuttering disorder from the perspective of individuals who stutter. Based on the World Health Organization's International Classification of Functioning, Disability, and Health [World Health Organization (2001). The International Classification of Functioning, Disability, & Health. Geneva: World Health Organization], the Overall Assessment of the Speaker's Experience of Stuttering (OASES) collects information about the totality of the stuttering disorder, including: (a) general perspectives about stuttering, (b) affective, behavioral, and cognitive reactions to stuttering, (c) functional communication difficulties, and (d) impact of stuttering on the speaker's quality of life. This paper summarizes scale development, reliability and validity assessment, and scoring procedures so clinicians and researchers can use the OASES to add to the available evidence about the outcomes of a variety of treatment approaches for adults who stutter.
Educational objectives:
As a result of this activity, participants will be able to: (1) identify key issues related to the documentation of treatment outcomes in stuttering; (2) discuss the components of the international classification of functioning, disability, and health as they relate to the documentation of stuttering treatment outcomes; (3) evaluate and use a new measurement instrument for assessing the outcomes of stuttering treatment from the perspective of the person who stutters.
Greenpaper on mobile Health ("mHealth"). Retrieved April 30
- European Comission
European Comission. 2014. Greenpaper on mobile Health ("mHealth"). Retrieved April 30, 2018 from https://ec.europa.eu/digital-singlemarket/en/news/green-paper-mobile-health-mhealth.