Users Tested Research Articles

Study on the Design of a Non-Contact Interaction System Using Gestures: Framework and Case Study

The interaction patterns are constantly changing as the rapid development in technology. The non-contact interaction system using gestures is becoming important in human-computer interaction nowadays. This paper illustrates a design framework of a non-contact interaction system using gestures, which fully considers the approach to fit non-contact gestures into the system. The corresponding user requirements were investigated by surveys, and the universal design guide of non-contact gestures was summarized by statistical analysis. A case study was illustrated for key points of the developed design framework. The scheme, including interaction architecture, gesture definition, and user interface design, was described. The rapid prototyping was built. Evaluations, including eye-tracking measurements and tests of system usability, were implemented and analyzed by statistical methods to present suggestions of iterative design. The feasibility of the developed framework was verified. By statistical methods, the relationship between the interaction usability and the user’s perception for information was discussed, and the user’s perception for the display of dynamic and static gestures was analyzed. The results provide a clear approach to satisfy user’s preferences and improve the interaction quality for non-contact interaction systems using gestures, and furnish empirical grounding for sustainably devising similar interaction systems.

Co-creation of a step-by-step guide for specifying the test-management pathway to formulate focused guideline questions about healthcare related tests

BackgroundGuideline development on testing is known to be difficult for guideline developers. It requires consideration of various aspects, such as accuracy, purpose of testing, and consequences on management and people-important outcomes. This can be outlined in a test-management pathway. We aimed to create and user-test a step-by-step guide for guideline developers for designing a test-management pathway.MethodsDevelopmental design with a co-creative strategy. We created a draft step-by-step guide, that was user tested in a workshop with 19 experts, and by interviewing 7 guideline panel members.ResultsOur proposed guide consists of five blocks of signalling questions: patients/population, index test(s), current practice/comparison/control, people-important outcomes, and the link between testing and outcome(s). The user testing led to refinement of the signalling questions, the use of inclusive terminology, and addition of a test-management pathway figure with detailed explanation.ConclusionsThe step-by-step guide for formulating focused guideline questions regarding healthcare related testing can help in identifying relevant characteristics of the population, tests, and outcomes and to create a test management pathway. This should facilitate the formulation of evidence-based guideline recommendations about healthcare related testing.

Promoting Physical Activity in Huntington's Disease: Co-Design of a Care Partner Resource.

Clinical guidelines recommend that people with Huntington's disease (HD) should exercise to maintain/improve fitness and motor function, yet physical activity levels remain low in this group. Promotion of physical activity is often via care partners with little evidence that they are supported in this role. The aim was to co-design a resource for care partners of people with HD to support promotion of physical activity. A four-step co-design approach was used to develop a care partner resource. Five care partners took part in an online workshop exploring experiences and the knowledge, support and skills needed by care partners to promote physical activity. A co-design team (n = 7) developed a prototype that was user tested by three people who had attended the workshop. Findings from user testing were used to develop the final resource. An easy to read, image-based prototype was developed that contained tips on planning activity, safety and activity examples. User testing identified the need for grouping of activities suitable for 10, 20, and 30 minutes of available time, information on maintaining and improving activity and re-organization of information to support engagement of activity. A resource for care partners that has been translated into seven languages was developed to promote physical activity. User testing indicated confidence in using the resource and appreciation of the autonomy provided to the person with HD to plan activities. Further work is needed to evaluate the impact of the resource in promotion of physical activity and the impact on care partner burden.

A Cross-Sectional Study of Spanish Grindr Users: Sociodemographic Characteristics, Sexual Health Trends, and Attitudes toward HIV Testing.

Men who have sex with men are at an increased risk of acquiring sexually transmitted infections, and although behavioral and contextual interventions have improved, infections continue to spread. Therefore, a new focus on recent trends in sexual health in this population is needed. The aim of this study was to describe the relationship between sociodemographic and behavioral characteristics according to Grindr usage patterns, the prevalence of sexually transmitted infections (STIs), and attitudes toward HIV testing. In January 2020, a cross-sectional study was conducted using a sample of 881 men who have sex with men (MSM) who completed an online questionnaire. We evaluated their Grindr use patterns (moderate or intensive) and explored the associations of these with sociodemographic behavioral characteristics, STIs, and attitudes toward HIV testing. Of 881 participants in total, 587 (66.6%) were intensive Grindr users. Compared to moderate users, these participants reported significantly higher numbers of casual sexual partners (76.2% vs. 23.8%; p < 0.001), were more likely to participate in Chemsex (77.3% vs. 22.7%: p = 0.031), and had a higher self-reported number of STIs (69.9% vs. 30.1; p = 0.046). They also demonstrated better attitudes toward HIV testing (69.7% vs. 30.3%; p = 0.045) and perceived themselves to be at moderate risk of HIV (71.2% vs. 28.8%: p = 0.048). Moreover, intensive Grindr users were 1.36 times more likely than moderate users to test positive for STIs (95%CI = 1.15-1.91; p = 0.048). With some limitations, age, sexual partners, intensive Grindr users, and PrEP uses were associated with the risk of STIs in the sample of Spanish Grindr users studied. As Grindr users are vulnerable to sociodemographic and behavioral factors that determine STIs and HIV infection, mainly among intensive users, it is necessary to highlight the importance of new trends such as online dating apps, PrEP use, substance use in sex, and Chemsex, and these need to be incorporated into online public health strategies.

Ionblox’s SiOx-Based, High-Energy, High-Power Li-Ion Battery for Performance Electric Vehicles and Electric Aviation

Demands on land-based, high-performance electric vehicles (EVs) and electric aviation, by means of electric conventional takeoff and landing aircraft (eCTOLs) and electric vertical takeoff and landing aircraft (eVTOLs) demand more on a secondary cell chemistry than ever before. There are many secondary cells on the market that offer energy density, power density, fast-charge capability, or cycle life, but few, if any other manufacturing-ready cells, offer a combination of all four. IONBLOX has solved this by pairing it’s patented, Pre-lithiated SiOx anode with a high nickel, NMC cathode to produce cells exceeding 330 wh/kg. Herein we describe the performance of our 32 Ah cell, featuring high-energy density, high-power density, extreme fast charge capability, and good cycle life, within a package that is already in production.In particular, challenges for the eVTOL market will be addressed, which require peak power demand on the cell at low state-of-charge, without reducing the energy density. Methods for characterizing cells for such high-power applications will be further explored. DCIR pulse characterization and more customized testing like usable energy testing, which is important for identifying the applicable energy density for high-power use cases, will be demonstrated. Additionally, extreme fast charge capability is described on our large format cells with 5 min charge to >60% total cell capacity, over 1000 cycles. This shows such a cell is up to the expectations of a consumer familiar with the timing of a standard gasoline pump. Contribution from the information presented herein demonstrates the state of Si-based anode chemistry and can serve as useful guidelines to the academic community as future technologies are pursued for similar applications Figure 1

Minimal influence of the menstrual cycle or hormonal contraceptives on performance in female rugby league athletes.

We examined performance across one menstrual cycle (MC) and 3weeks of hormonal contraceptives (HC) use to identify whether known fluctuations in estrogen and progesterone/progestin are associated with functional performance changes. National Rugby League Indigenous Women's Academy athletes [n=11 naturally menstruating (NM), n=13 using HC] completed performance tests [countermovement jump (CMJ), squat jump (SJ), isometric mid-thigh pull, 20m sprint, power pass and Stroop test] during three phases of a MC or three weeks of HC usage, confirmed through ovulation tests alongside serum estrogen and progesterone concentrations. MC phase or HC use did not influence jump height, peak force, sprint time, distance thrown or Stroop effect. However, there were small variations in kinetic and kinematic CMJ/SJ outputs. NM athletes produced greater mean concentric power in MC phase four than one [+0.41W·kg-1 (+16.8%), p=0.021] during the CMJ, alongside greater impulse at 50ms at phase one than four [+1.7N·s (+4.7%), p=0.031] during the SJ, without differences between tests for HC users. Among NM athletes, estradiol negatively correlated with mean velocity and power (r=-0.44 to -0.50, p<0.047), progesterone positively correlated with contraction time (r=0.45, p=0.045), and both negatively correlated with the rate of force development and impulse (r=-0.45 to -0.64, p<0.043) during the SJ. During the CMJ, estradiol positively correlated to 200ms impulse (r=0.45, p=0.049) and progesterone to mean power (r=0.51, p=0.021). Evidence of changes in testing performance across a MC, or during active HC use, is insufficient to justify "phase-based testing"; however, kinetic or kinematic outputs may be altered in NM athletes.

Learning approaches to cost–benefit decision analysis of pile designs from site investigation plans

ABSTRACT The study introduces an approach to pile design optimisation in geotechnical engineering, integrating both Reinforcement Learning (RL) and Machine Learning (ML) algorithms with Cost–Benefit Decision Analysis (CBDA). The study explores three Site Investigation Plans (SIPs), described as Current (CSIP), Actual (ASIP) and Optimal (OSIP), that can be used to address uncertainties in subsurface conditions and pile design. RL is used to determine the optimal action in transitioning between these interrelated SIPs. Apart from the SIPs, the optimal action is also shown to depend on structural variables for the pile design. These variables are used in ML algorithms, such as Random Forest (RF), Gradient Boosting Machine (GBM) and Support Vector Machine (SVM), to predict the optimal action for decision-making of the SIP at a given site. The proposed CBDA framework is applied to a database consisting of 152 usable test piles across various U.S. states, which enables the assessment of SIPs under diverse geological conditions. The results show that RL effectively optimises SIP selection with RF achieving the highest overall accuracy in predicting optimal SIP actions. The study contributes a novel data-driven approach to CBDA and SIP evaluation in geotechnical decision-making.

An adaptation and exploratory factor analysis of the smoking-related weight and eating episodes test (SWEET) for electronic cigarette users

IntroductionSmoking for weight control is a well-documented behavior. There is emerging evidence to suggest electronic cigarettes (e-cigarettes) may be used for similar motivations yet measure development for the use of e-cigarettes for weight control has received less attention. The objective of the current study was to adapt and explore the psychometric properties of The Smoking-Related Weight and Eating Episodes Test (SWEET) for e-cigarette users. MethodsYoung adult (N=1875) current cigarette, e-cigarette, and dual users completed the original SWEET (SWEET-C) and/or adapted SWEET for e-cigarette use (SWEET-EC) based on current tobacco product use. Demographics, associated e-cigarette characteristics, nicotine dependence, outcome expectancies, and eating disorder behaviors were also assessed. Participants were recruited online and measures were completed via self-report. ResultsFour exploratory factor analyses using principal components extraction and direct oblimin rotation methods were run to explore the SWEET-C and SWEET-EC. A one-factor solution explaining 66 % of the variance was retained for the SWEET-C, and a one-factor solution explaining 73 % of the variance was retained for the SWEET-EC. Both measures exhibited excellent internal consistency. Higher SWEET-EC scores were observed among dual users, and were associated with daily e-cigarette use, JUUL use, self-reported vaping for weight control, older age, higher body mass index, and problematic eating behaviors. ConclusionOur findings support the adaptation of the SWEET-EC to measure e-cigarette use for weight control. The SWEET-EC will help to better understand how individuals use e-cigarettes to curb eating behavior and for weight control.

The power of flattery: Enhancing prosocial behavior through virtual influencers

AbstractWhile prior work suggests the significant role virtual influencers (VIs) can play in addressing social and welfare issues, it remains unclear how they can increase social media users' engagement in prosocial behaviors. The current study examines the role of influencer flattery in driving the prosocial behavior of social media users. Specifically, the research investigates how flattery and humanlike appearance influence the perceived authenticity of VIs and the subsequent prosocial behavior of social media users (Studies 1 and 2). Furthermore, the research substantiates these effects by exploring how flattery and anthropomorphism via humanlike traits impact perceived authenticity and prosocial behavior when social media users witness the influencer praising others (Study 3). Beyond intention to donate (Study 1), the study also investigated its impact on related prosocial behaviors, such as click‐through behavior (Study 2) and the willingness to pay for fundraising merchandise (Study 3). The findings of this research offer concrete implications for nonprofit organizations by demonstrating the persuasive impact of flattery, perceived authenticity, and anthropomorphism in mobilizing public support, donations, and merchandise purchases for social causes.

Software Testing of eHealth Interventions: Existing Practices and the Future of an Iterative Strategy.

eHealth interventions are becoming a part of standard care, with software solutions increasingly created for patients and health care providers. Testing of eHealth software is important to ensure that the software realizes its goals. Software testing, which is comprised of alpha and beta testing, is critical to establish the effectiveness and usability of the software. In this viewpoint, we explore existing practices for testing software in health care settings. We scanned the literature using search terms related to eHealth software testing (eg, "health alpha testing," "eHealth testing," and "health app usability") to identify practices for testing eHealth software. We could not identify a single standard framework for software testing in health care settings; some articles reported frameworks, while others reported none. In addition, some authors misidentified alpha testing as beta testing and vice versa. There were several different objectives (ie, testing for safety, reliability, or usability) and methods of testing (eg, questionnaires, interviews) reported. Implementation of an iterative strategy in testing can introduce flexible and rapid changes when developing eHealth software. Further investigation into the best approach for software testing in health care settings would aid the development of effective and useful eHealth software, particularly for novice eHealth software developers.

A conceptual framework for good preventive practices (or for quaternary prevention)

Prevention is universally advocated, especially in the case of noncommunicable diseases. However, given the proliferation of preventive technologies, it does not seem defensible to generically encourage preventive behaviors and tests for healthcare professionals and users. In this essay, we articulate concepts, ideas and criteria for considering preventive measures, providing a minimum guide to be used by professionals (especially in primary healthcare) and managers. The concepts of primary, secondary and quaternary prevention are explored, as well as those of reductive and additive prevention, high-risk and population-based preventive strategies; evidence-based medicine and its contemporary crisis; the precautionary principle; health promotion, an expanded, person-centered approach and shared decision-making. This discussion was designed to improve competence in the evaluation of preventive measures, making clinical and health decisions more judicious and less iatrogenic regarding primary and secondary prevention.

A 3D printed patient-specific vaginal mould for brachytherapy

Patient specific applicators are needed for vaginal brachytherapy treatments in cases where conventional cylindrical applicators are unsuitable or unusable. These applicators are often produced using a time-consuming and comparatively imprecise moulding method. This proof-of-concept study used Monte Carlo calculations to investigate potential dosimetric effects from creating applicators using several common 3D printing materials. A sample mould was then replicated using a fused deposition modelling (FDM) technique, which allowed catheter channels to be precisely placed with reference to treatment goals, before 3D printing from thermoplastic using a consumer-grade 3D printer. The Monte Carlo results indicated that several FDM filaments caused substantial dose depletions (up to 6%) within the model applicators while having a minor effect (less than 1%) on dose in surrounding tissue. Compared to the sample mould, the 3D printed applicator achieved superior dosimetry in terms of target coverage, while also passing manual tests of smoothness and usability. This study demonstrated an overall process by which 3D printing could replace an imprecise and time-consuming manual process and potentially achieve improved dosimetry in brachytherapy treatments of irregular vaginal anatomy.

Automatic classification method of power user’s requirements text based on parallel naive Bayesian algorithm

In order to ensure the efficiency of power user’s requirements processing, an automatic classification method for demand test of power users based on parallel naive Bayesian algorithm is proposed. Polynomial naive Bayes is selected to build Hadoop cluster, and the feature words of power user’s requirements are selected through chi square test. The weight of each feature item is calculated by word frequency-inverse text frequency index method, and the weight sum of each category is calculated. The weight sum is input into naive Bayes algorithm to output the text classification results of power user’s requirements. At the same time, The naive Bayes classification algorithm is parallelized and encapsulated to reduce the cost of data movement and exchange in the classification process, and improve the operation efficiency of demand text classification of power user. The experimental results show that this method can accurately extract the feature words of power user’s requirements, effectively realize the automatic classification of power user’s requirements text, and have a more accurate classification effect. The average fitness value of the proposed method tends to be stable after more than 20 training times, and the number of network convergence steps is 7. When the ratio of energy function is about 0.4 and 0.6, the average IU value is the highest. When the required number of texts ranges from 500 to 1500, the delay time of text classification is 0.02 s, and the peak signal-to-noise ratio is more than 33, among which the highest peak signal-to-noise ratio is 42.52, and the normalization coefficient is 1.

The usability gap in water resources open data and actionable science initiatives

AbstractThe open data movement represents a major advancement for informed water management. Data that are findable, accessible, interoperable, and reusable—or FAIR—are now prerequisite to responsible data stewardship. In contrast to FAIR, accessibility and usability case studies and guidelines designed around human access and understanding are lacking in the literature, especially for water resources. Such decision support guidelines are critical because (i) inherent visual design trade‐offs are not best made using intuition or feedback (perceived preference), and (ii) choosing designs requires a nuanced understanding of why and how the design works (revealed effectiveness). Thus, the goal of this commentary is to highlight knowledge gaps and discuss a general usability testing method which can be applied to any water resources decision support product. The user‐testing approach includes (i) interviews about visualization goals, audiences, and the uses and decisions made with the data products, (ii) diagnosis of usability challenges, and (iii) redesign of decision support products given best practices and control versus treatment with intended end‐user audiences. We illustrate the method using high‐profile U.S. Geological Survey water science products. In sum, optimizing and testing for usability and understandability are as central to stakeholder use as FAIR standards are, and warrant being part of the development of data products and geovisualizations.

Trends in Recommended Screening and Monitoring Tests for Users of HIV Pre-Exposure Prophylaxis Before and During the COVID-19 Pandemic

To ensure the health and safety of persons taking pre-exposure prophylaxis to prevent HIV infection, the 2017 Centers for Disease Control and Prevention guidelines recommended initial and follow-up laboratory testing. We assessed the trends in adherence rates to recommended laboratory testing among pre-exposure prophylaxis users and identified factors associated with HIV testing among pre-exposure prophylaxis users from 2016 to 2020 and also examined rate changes during the COVID-19 pandemic in 2020. We conducted a retrospective cohort study assessing the rates and trends of recommended laboratory testing among commercially insured pre-exposure prophylaxis users from 2016 to 2020, using the MarketScan database. We examined the proportion of pre-exposure prophylaxis users adhering to the following initial and follow-up laboratory testing: (1) HIV, creatinine clearance, hepatitis B virus, hepatitis C virus, and sexually transmitted infections (chlamydia/gonorrhea and syphilis) within 7 days before pre-exposure prophylaxis initiation; (2) HIV 90 days after initiation; and (3) HIV, creatinine clearance, and sexually transmitted infections 180 days after pre-exposure prophylaxis initiation. We used general linear models to examine trends and multivariable logistic regression to identify predictors of ≥1 HIV test within 180 days after index pre-exposure prophylaxis. We identified 19,581 new pre-exposure prophylaxis users. Most were male (96%) and aged 18-34 years (55%). Adherence rates to recommended testing increased from 2016 through 2019 (e.g., 9.0%-13.6% for all initial screening tests 7 days before initiation, 42.1%-44.6% for HIV testing 90 days after initiation, 33.8%-40.6% for all follow-up tests within 180 days after initiation), but all rates decreased during the COVID-19 pandemic (12.4%, 33.6%, and 31.6%, respectively). Younger age (aged 13-17 years: AOR=0.44, 95% CI=0.28, 0.71) and ages 18-34 years (AOR=0.80, 95% CI=0.74, 0.86) were associated with a significantly lower likelihood of getting an HIV test within 180 days after initiation than ages 35-44 years, and female sex (AOR=0.64, 95% CI=0.55, 0.74) were associated with a significantly lower likelihood than male sex. Pre-exposure prophylaxis users with a history of sexually transmitted infections had a higher likelihood (AOR=1.27, 95% CI=1.16, 1.40) of getting tested than those without. Initial screening and follow-up testing rates were lower than those recommended by the Centers for Disease Control and Prevention. Public health efforts are needed to ensure that patients have access to needed laboratory testing during pandemics or natural disasters and to educate patients and clinicians about the importance of screening and monitoring tests to ensure the safety and health of pre-exposure prophylaxis users.

Trends of smokeless tobacco in India- Narrative review

South Asia, primarily India, is the major producer and exporter of various forms of tobacco products worldwide. All forms of tobacco (smoke and smokeless/chewable/inhaled) such as cigarettes, pipes, cigars, beedis, paan and snuff have been implicated in the development of oral cancer. Almost 13% of the population of India chews tobacco in the form of pan or gutkha. People in India consume various forms of tobacco such as khaini, mishri, zarda, gutkha, mawa and naas. Areca nut chewing is also widely practised in India. Males have been found more likely to develop oral or esophageal cancer because of tobacco consumption. Children, teenagers and pregnant women are also found using products for pleasure, stress relieving, in social situations etc. Epidemiological studies also suggest tobacco consumption is more prevalent in lower socioeconomic strata. Oral cancer also called squamous cell carcinoma, oral submucous fibrosis (OSMF), leukoplakia, erosive lichen planus, asthma, chronic obstructive pulmonary disease (COPD) and hypertension are a few major manifestations of tobacco consumption. Smokeless tobacco users studies show mortality of 1.2–1.96 (men) and 1.3 (women). Educational intervention, mass media intervention in the form of television ads, public posters, newspaper articles, folk dramas and the most recent cessation camps have been implied to spread awareness about the misbeliefs of consuming tobacco and demonstrating health hazards associated with it.

IMPROVING HEALTH LITERACY ABILITY FROM DIGITAL POP UP BOOK MEDIA FOR EARLY CHILDREN

Early childhood education level requires readiness from various elements, one of which is through a literacy program health that aims to help children understand the importance of behavior clean and healthy living (PHBS). The PHBS referred to is in the form bring supplies and do not share food as an effort to prevent Covid-19 at school. This research was carried out using the development method refers to research and development steps according to Borg &amp; Gall (1983). The research objective is to develop pop up book media digital-based to improve health literacy skills in children aged 4-6 years. Product trial results consisting of media expert trials, substance experts trials, prospective users trials and tests field. The media expert test results obtained 85.83%, the substance expert test obtained the average 88.94%, and the test results for prospective product users obtained an average of 86.98%. it can be concluded that ABBA's pop up book media is very good and unnecessary revised. The results of the product effectiveness test obtained an average pre-test score (XB) of 1682 and the average post test score (XA) is 1811 when compared to the t table value at a significance level of 5% then 0.004 &lt;0.05 so it can be concluded that pop up book media can improve health literacy skills in children aged 4-6 years.

Interactive experience of information visualization in mechanical design

Abstract Information visualization is a new area of research in mechanical design, and user subjective satisfaction can be improved by experiencing visual interactions. With this as a starting point, this paper introduces a visualization layout algorithm and establishes an information visualization model to calculate the interaction experience of information visualization in mechanical design. Firstly, the layout algorithm in visualization is positioned in two-dimensional or three-dimensional space, and the gravitational repulsion is applied to the nodes in the space based on Coulomb’s law. Then the number of nodes of the graph in space is input, and their mutual repulsive forces are calculated in each iteration. Finally, the average entropy of the forces in the space is used, the obtained fusion weights are calculated according to the extreme value nature of entropy, and the results of their calculation are fused into the mechanical design, citing the service robot for visualizing the interactive experience. The experimental results show that the comfortable speed of the user in view 1 is 1.1m/s, 1.0m/s and 0.9m/s for robots with heights of 700mm, 1000mm, and 1600mm, respectively, and the comfortable speed of the user in view 3 is 1.0m/s, 0.9m/s, and 0.9m/s, and the comfortable speed of view 3 is better than that of view 1. It indicates that the test of users’ subjective satisfaction can be added to the information visualization interaction experience of mechanical design, and the information visualization interaction is verified by subjective satisfaction to provide effective comparison data for mechanical visualization interaction.

Designing a Dyad-Based Digital Health Intervention to Reduce Sedentary Time in Black Breast Cancer Survivors and Their First-degree Relatives: Human-Centered Design Study.

Breast cancer, the most commonly diagnosed cancer and second leading cause of cancer-related death in women in the United States, disproportionately affects women from minoritized or low socioeconomic backgrounds. The average woman has an approximately 12% lifetime risk of developing breast cancer. Lifetime risk nearly doubles if a woman has a first-degree relative with breast cancer, and the risk increases as multiple family members are affected. Decreasing sedentary behaviors through moving more and sitting less reduces breast cancer risk and improves outcomes for cancer survivors and healthy adults. Digital health solutions, such as mobile apps that are culturally appropriate, designed with input from the target audience, and include social support, are effective at improving health behaviors. This study aimed to develop and evaluate the usability and acceptability of a prototype app designed with a human-centered approach to promote moving more and sitting less in Black breast cancer survivors and their first-degree relatives (parent, child, or sibling). This 3-phase study consisted of app development, user testing, and evaluation of user engagement and usability. Key community stakeholders were engaged in the first 2 (qualitative) phases to provide input into developing the prototype app (MoveTogether). After development and user testing, a usability pilot was conducted. Participants were adult breast cancer survivors who identified as Black and agreed to participate with a relative. Participants used the app and a step-tracking watch for 4 weeks. App components included goal setting and reporting, reminders, dyad messaging, and educational resources. Usability and acceptability were assessed with a questionnaire that included the System Usability Scale (SUS) and semistructured interviews. Data were analyzed with descriptive statistics and content analysis. Participants in the usability pilot (n=10) were aged 30 to 50 years (6/10, 60%), not married (8/10, 80%), and college graduates (5/10, 50%). The app was used on average 20.2 (SD 8.9) out of 28 days-SUS score of 72 (range 55-95)-and 70% (7/10) agreed that the app was acceptable, helpful, and gave them new ideas. Additionally, 90% (9/10) found the dyad component helpful and would recommend the app to friends. Qualitative findings suggest that the goal-setting feature was helpful and that the dyad partner (buddy) provided accountability. Participants were neutral regarding the cultural appropriateness of the app. The MoveTogether app and related components were acceptable for promoting moving more in dyads of breast cancer survivors and their first-degree relatives. The human-centered approach, which involved engaging community members in the development, is a model for future technology development work. Future work should be done to further develop the intervention based on the findings and then test its efficacy to improve sedentary behavior while considering culturally informed strategies for adoption and implementation within the community. ClinicalTrials.gov NCT05011279; https://clinicaltrials.gov/ct2/show/NCT05011279.

Finite State Testing of Graphical User Interface using Genetic Algorithm

Graphical user interfaces are the key components of any software. Nowadays, the popularity of the software depends upon how easily the user can interact with the system. However, as the system becomes complex, this interaction is also complicated with many states. The testing of graphical user interfaces is an important phase of modern software. The testing of GUI is possible only by interacting with the system, which may be a time-consuming process and is generally automated based on the test suite. The test suite generation proposed in this paper is based on the genetic algorithm in which various test cases are generated heuristically. For performance validation of the proposed approach, the same has been compared with a variant of PSO, and it found that GA is slightly better in comparison to the PSO.