85,675 research outputs found
A Conceptual UX-aware Model of Requirements
User eXperience (UX) is becoming increasingly important for success of
software products. Yet, many companies still face various challenges in their
work with UX. Part of these challenges relate to inadequate knowledge and
awareness of UX and that current UX models are commonly not practical nor well
integrated into existing Software Engineering (SE) models and concepts.
Therefore, we present a conceptual UX-aware model of requirements for software
development practitioners. This layered model shows the interrelation between
UX and functional and quality requirements. The model is developed based on
current models of UX and software quality characteristics. Through the model we
highlight the main differences between various requirement types in particular
essentially subjective and accidentally subjective quality requirements. We
also present the result of an initial validation of the model through
interviews with 12 practitioners and researchers. Our results show that the
model can raise practitioners' knowledge and awareness of UX in particular in
relation to requirement and testing activities. It can also facilitate
UX-related communication among stakeholders with different backgrounds.Comment: 6th International Working Conference on Human-Centred Software
Engineerin
Human-activity-centered measurement system:challenges from laboratory to the real environment in assistive gait wearable robotics
Assistive gait wearable robots (AGWR) have shown a great advancement in developing intelligent devices to assist human in their activities of daily living (ADLs). The rapid technological advancement in sensory technology, actuators, materials and computational intelligence has sped up this development process towards more practical and smart AGWR. However, most assistive gait wearable robots are still confined to be controlled, assessed indoor and within laboratory environments, limiting any potential to provide a real assistance and rehabilitation required to humans in the real environments. The gait assessment parameters play an important role not only in evaluating the patient progress and assistive device performance but also in controlling smart self-adaptable AGWR in real-time. The self-adaptable wearable robots must interactively conform to the changing environments and between users to provide optimal functionality and comfort. This paper discusses the performance parameters, such as comfortability, safety, adaptability, and energy consumption, which are required for the development of an intelligent AGWR for outdoor environments. The challenges to measuring the parameters using current systems for data collection and analysis using vision capture and wearable sensors are presented and discussed
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Emerging Methods to Objectively Assess Pruritus in Atopic Dermatitis.
INTRODUCTION:Atopic dermatitis (AD) is an inflammatory skin disease with a chronic, relapsing course. Clinical features of AD vary by age, duration, and severity but can include papules, vesicles, erythema, exudate, xerosis, scaling, and lichenification. However, the most defining and universal symptom of AD is pruritus. Pruritus or itch, defined as an unpleasant urge to scratch, is problematic for many reasons, particularly its negative impact on quality of life. Despite the profoundly negative impact of pruritus on patients with AD, clinicians and researchers lack standardized and validated methods to objectively measure pruritus. The purpose of this review is to discuss emerging methods to assess pruritus in AD by describing objective patient-centered tools developed or enhanced over the last decade that can be utilized by clinicians and researchers alike. METHODS:This review is based on a literature search in Medline, Embase, and Web of Science databases. The search was performed in February 2019. The keywords were used "pruritus," "itch," "atopic dermatitis," "eczema," "measurements," "tools," "instruments," "accelerometer," "wrist actigraphy," "smartwatch," "transducer," "vibration," "brain mapping," "magnetic resonance imaging," and "positron emission tomography." Only articles written in English were included, and no restrictions were set on study type. To focus on emerging methods, prioritization was given to results from the last decade (2009-2019). RESULTS:The search yielded 49 results in PubMed, 134 results in Embase, and 85 results in Web of Science. Each result was independently reviewed in a standardized manner by two of the authors (M.S., K.L.), and disagreements between reviewers were resolved by consensus. Relevant findings were categorized into the following sections: video surveillance, acoustic surveillance, wrist actigraphy, smart devices, vibration transducers, and neurological imaging. Examples are provided along with descriptions of how each technology works, instances of use in research or clinical practice, and as applicable, reports of validation studies and correlation with other methods. CONCLUSION:The variety of new and improved methods to evaluate pruritus in AD is welcomed by clinicians, researchers, and patients alike. Future directions include next-generation smart devices as well as exploring new territories, such as identifying biomarkers that correlate to itch and machine-learning programs to identify itch processing in the brain. As these efforts continue, it will be essential to remain patient-centered by developing techniques that minimize discomfort, respect privacy, and provide accurate data that can be used to better manage itch in AD
A Lightweight Co-Construction Activity for Teaching 21st Century Skills at Primary Schools
Employing learning processes that promote 21st Century skills is now a requirement in Finnish schools and elsewhere. Participatory design/co-design activities have shown to foster design thinking and computational thinking skills in primary school level participants, but a lightweight applicable model of such an activity is yet to be presented. We develop a lightweight hybrid co-construction method based on software development via two exploratory case studies in a Finnish primary school. For the purpose of evaluating objectively the motivating effects of our activity, we elaborate upon four concerning dimensions that arise from previous studies. In our resulting activity, an adult programmer is partnered with a group of children to, in this case, construct math games together. The children felt empowered and motivated by working with us in this way, however, further study is required on the effects this kind of an activity has in comparison to alternative teaching methods
Who Watches the Watchmen? An Appraisal of Benchmarks for Multiple Sequence Alignment
Multiple sequence alignment (MSA) is a fundamental and ubiquitous technique
in bioinformatics used to infer related residues among biological sequences.
Thus alignment accuracy is crucial to a vast range of analyses, often in ways
difficult to assess in those analyses. To compare the performance of different
aligners and help detect systematic errors in alignments, a number of
benchmarking strategies have been pursued. Here we present an overview of the
main strategies--based on simulation, consistency, protein structure, and
phylogeny--and discuss their different advantages and associated risks. We
outline a set of desirable characteristics for effective benchmarking, and
evaluate each strategy in light of them. We conclude that there is currently no
universally applicable means of benchmarking MSA, and that developers and users
of alignment tools should base their choice of benchmark depending on the
context of application--with a keen awareness of the assumptions underlying
each benchmarking strategy.Comment: Revie
Associations between objectively measured and selfâreported sleep with academic and cognitive performance in adolescents: DADOS study
Adequate sleep has been positively related with health and school achievement out-comes during adolescence. The aim of this study was to investigate the associations ofobjectively measured and selfâreported sleep duration and quality with academic andcognitive performance in adolescents. This study was conducted with 257 adolescents(13.9 ± 0.3 years) from the DADOS study (Deporte, ADOlescencia y Salud). Objec-tively measured and selfâreported sleep duration and quality were obtained by a wristâworn GENEActiv accelerometer and the Spanish version of Pittsburgh Sleep QualityIndex questionnaire, respectively. Academic performance was analysed through schoolrecords using four indicators: math, language, science and grade point average score.Cognitive performance was measured using the Spanish version of theâSRA Test ofEducational Abilityâ. After BenjaminiâHochberg correction for the false discovery rate,objectively measured sleep duration was negatively associated with verbal ability (ÎČ=â0.179,p= .004), whilst selfâreported sleep quality was positively associated withacademic performance (ÎČranging from 0.209 to 0.273; allp<.001). These associationsremained significant after further controlling for physical fitness and physical activity.Conversely, there were no associations between selfâreported sleep duration andobjective sleep quality with academic and cognitive performance. Our findings fit inline with previous research showing that sleep quality may play an important role onadolescentsâacademic performance. Further interventional research is needed to clar-ify the mechanisms by which sleep is related to academic performance in youth
Framework for Dynamic Evaluation of Muscle Fatigue in Manual Handling Work
Muscle fatigue is defined as the point at which the muscle is no longer able
to sustain the required force or work output level. The overexertion of muscle
force and muscle fatigue can induce acute pain and chronic pain in human body.
When muscle fatigue is accumulated, the functional disability can be resulted
as musculoskeletal disorders (MSD). There are several posture exposure analysis
methods useful for rating the MSD risks, but they are mainly based on static
postures. Even in some fatigue evaluation methods, muscle fatigue evaluation is
only available for static postures, but not suitable for dynamic working
process. Meanwhile, some existing muscle fatigue models based on physiological
models cannot be easily used in industrial ergonomic evaluations. The external
dynamic load is definitely the most important factor resulting muscle fatigue,
thus we propose a new fatigue model under a framework for evaluating fatigue in
dynamic working processes. Under this framework, virtual reality system is
taken to generate virtual working environment, which can be interacted with the
work with haptic interfaces and optical motion capture system. The motion
information and load information are collected and further processed to
evaluate the overall work load of the worker based on dynamic muscle fatigue
models and other work evaluation criterions and to give new information to
characterize the penibility of the task in design process.Comment: International Conference On Industrial Technology, Chengdu : Chine
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