Use Of Questionnaire Research Articles

Development of Chemical Literacy Book on Local Wisdom of Madura Culture Based on Augmented Reality (AR)

This study provides a detailed description of the development of a chemical literacy book on Madurese local cultural wisdom based on augmented reality (AR). The research aims to identify the characteristics of chemical literacy books, then evaluate their suitability based on teacher usability tests and student readability tests. This research used an exploratory mixed methods design. The instruments used were a needs analysis questionnaire, expert validation sheet chemistry learning, teacher usability questionnaire sheet, and student readability questionnaire sheet. Feasibility assessments include content and scientific literacy, language, presentation, graphics, usefulness and attractiveness. The output of this research is a chemical literacy book on Madurese local cultural wisdom based on Augmented Reality (AR) in printed form consisting of 7 (seven) cultural themes and 7 (seven) Basic Competencies in the 2013 Curriculum referring to the Minister of Education and Culture Regulation and Culture Regulation Number 37 of 2018. The book This was declared suitable for use as a learning resource based on chemistry teachers' usability test responses with Very Good (SB) criteria in all aspects with an ideal percentage of 91.50% and based on student readability test responses with Very Good (SB) criteria in all aspects with an ideal percentage amounting to 87.91%.

Virtual reality roleplays for patients with depression: A user experience evaluation

BackgroundVirtual reality (VR) has been used successfully and effectively in psychotherapy for a variety of disorders. In the field of depression, there are only a few VR interventions and approaches. Although simple social interactions have been successfully modeled in VR for several mental disorders, there has been no transfer to the field of depression therapy. VR may be employed for psychodynamic psychotherapy to work on interpersonal conflict patterns. In this study, we developed and evaluated a VR intervention for the simulation of roleplay situations in the context of supportive-expressive therapy. MethodsWe conducted a clinical user experience (UX) study at a psychotherapeutic clinic in Düsseldorf, Germany. Eight inpatients with depression and four therapists were included. Semi-structured interviews and qualitative content analysis were used to identify UX issues of the developed VR intervention. Usability questionnaires and technical usage data were also considered. The VR intervention consisted of two therapist-controlled roleplay scenarios designed to support work on the core conflictual relationship theme by allowing patients to interact in typical problematic social situations. Recorded VR roleplays allow for therapeutic debriefing with a change of perspective. Therapists were given the option of using the roleplay in multiple sessions. ResultsAll therapists conducted one session per patient with the VR intervention. From the patient interviews, 26 UX issues were extracted, of which one technical malfunction and two unclarities in the interaction with the VR agent were rated as major problems. From the therapist interviews, 14 UX issues were extracted, of which five were rated as major problems related to the interface in the dialog control or the complex system setup. ConclusionThe main problem was designing a dialog structure that allows both complex conversational flows and a clear control interface. In principle, VR roleplays could be integrated well and safely into therapy. The VR intervention shows promise for providing an emotional experience of interpersonal conflict patterns in the context of psychotherapy. Additionally, other roleplay situations involving various social problem areas must be created and evaluated in terms of the fit to the patients' core conflictual relationship themes.

A Generative Pretrained Transformer (GPT)-Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study.

Communication is a core competency of medical professionals and of utmost importance for patient safety. Although medical curricula emphasize communication training, traditional formats, such as real or simulated patient interactions, can present psychological stress and are limited in repetition. The recent emergence of large language models (LLMs), such as generative pretrained transformer (GPT), offers an opportunity to overcome these restrictions. The aim of this study was to explore the feasibility of a GPT-driven chatbot to practice history taking, one of the core competencies of communication. We developed an interactive chatbot interface using GPT-3.5 and a specific prompt including a chatbot-optimized illness script and a behavioral component. Following a mixed methods approach, we invited medical students to voluntarily practice history taking. To determine whether GPT provides suitable answers as a simulated patient, the conversations were recorded and analyzed using quantitative and qualitative approaches. We analyzed the extent to which the questions and answers aligned with the provided script, as well as the medical plausibility of the answers. Finally, the students filled out the Chatbot Usability Questionnaire (CUQ). A total of 28 students practiced with our chatbot (mean age 23.4, SD 2.9 years). We recorded a total of 826 question-answer pairs (QAPs), with a median of 27.5 QAPs per conversation and 94.7% (n=782) pertaining to history taking. When questions were explicitly covered by the script (n=502, 60.3%), the GPT-provided answers were mostly based on explicit script information (n=471, 94.4%). For questions not covered by the script (n=195, 23.4%), the GPT answers used 56.4% (n=110) fictitious information. Regarding plausibility, 842 (97.9%) of 860 QAPs were rated as plausible. Of the 14 (2.1%) implausible answers, GPT provided answers rated as socially desirable, leaving role identity, ignoring script information, illogical reasoning, and calculation error. Despite these results, the CUQ revealed an overall positive user experience (77/100 points). Our data showed that LLMs, such as GPT, can provide a simulated patient experience and yield a good user experience and a majority of plausible answers. Our analysis revealed that GPT-provided answers use either explicit script information or are based on available information, which can be understood as abductive reasoning. Although rare, the GPT-based chatbot provides implausible information in some instances, with the major tendency being socially desirable instead of medically plausible information.

Social networking usage and mental health problems in the Kurdistan region of Iraq during the COVID-19 outbreak and lockdown

The COVID-19 outbreak, as an international health emergency, led to uncertainty. Pandemics can be stressful and anxiety-producing for community individuals. Moreover, due to lockdown measures implemented to slow down the spread of the disease, an increase in the usage of social media was reported. Therefore, this study aims to find the prevalence of mental health problems and the level of social media usage during the outbreak of COVID-19 in the Kurdistan region, Iraq. Furthermore, the relationship between mental health problems (i.e., depression, anxiety, and stress) and social media usage is explored. The study was cross-sectional; the data was collected through a snowball sampling method in which 355 participants completed an online questionnaire. Social networking usage questionnaire, Hopkins Symptom Checklist-15 (HSCL-25), and Perceived Stress Scale (PSS) were used as measurement tools. The results showed that the level of social networking usage was moderate. As for mental health problems, 76.5% of the respondents showed moderate to high stress levels, 56.4% reported experiencing depression, and 37.4% reported experiencing anxiety. Significant gender differences were found in depression, anxiety, and stress, with females scoring higher in all categories. In the mental health problem domains, only depression scores positively correlated with social media usage. The findings also showed social networking usage is associated with higher depression and anxiety; however, the effect sizes were small. Therefore, more research into this matter is necessary in the cultural context of the Kurdistan region to reach conclusive results.

Application of The User Centered Design Method To Evaluate The Relationship Between User Experience, User Interface and Customer Satisfaction on Banking Mobile Application

The aim of this research is to evaluate user satisfaction through UI/UX design in mobile banking and find out what kind of UI/UX appearance users want using the user-centered design method. This research uses a qualitative approach. In addition to the qualitative approach, this research also incorporates a quantitative approach. Data collection in this research used usability testing, interviews, and questionnaires. We calculated the data obtained from the questionnaire statistically using Microsoft Excel. The results of questionnaire data analysis can be in the form of graphs or numbers. Researchers create a list of required elements or features to maintain, add, improve, or remove after collecting and analyzing data. Researchers will implement the requirements list by providing prototype design recommendations. The research results showed that 90% of participants successfully completed the 10 task scenarios given during the evaluation of ongoing mobile banking usability testing. Furthermore, during the evaluation of mobile banking prototype recommendations, 99% of participants successfully completed the 10 task scenarios that had been given. The appearance that users want is a more attractive appearance by adding more icons and illustrations, as well as making the appearance more modern. Additional features that users want, namely adding an e-wallet top-up feature, not limiting the account mutations that can be seen, adding a share feature after transfer, adding fingerprint and face ID features in the login section, and adding a copy feature to be able to copy account numbers.

Validation of a Thai artificial chatmate designed for cheering up the elderly during the COVID-19 pandemic

Background The COVID-19 pandemic severely affected populations of all age groups. The elderly are a high-risk group and are highly vulnerable to COVID-19. Assistive software chatbots can enhance the mental health status of the elderly by providing support and companionship. The objective of this study was to validate a Thai artificial chatmate for the elderly during the COVID-19 pandemic and floods. Methods Chatbot design includes the establishment of a dataset and emotional word vectors in which data consisting of emotional sentences were converted into the word vector form using a pre-trained word2vec model. A word vector was then input into a convolutional neural network (CNN) and trained until the model converges using sentence embedding and similarity word segmentation. Sentence vectors were generated by averaging each word vector using an averaged vector method. For approximate similarity matching, the Annoy library was used to create the indices in tree sorting. Data were collected from 22 elderly and assessed by the Post-Study System Usability Questionnaire (PSSUQ). Results The study revealed that 72.73% of the respondents found the chatbot easy to learn and use, 63.64% of the respondents found the chatbot can autonomously determine the next course of action, and 59.09% of the respondents believed that troubleshooting guidelines were provided for overcoming errors. The accuracy of the chatbot providing a reasonable response is 56.20±13.99%. Conclusions Most users were satisfied with the chatbot system. The proposed chatbot provided considerable essential insights into the development of assistance systems for the elderly during the coronavirus pandemic (COVID-19) and during the period of national disasters. The model can be expanded to other applications in the future.

Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study.

Mobile health (mHealth) apps have proven useful for people with multiple sclerosis (MS). Thus, easy-to-use digital solutions are now strongly required to assess and monitor cognitive impairment, one of the most disturbing symptoms in MS that is experienced by almost 43% to 70% of people with MS. Therefore, we developed DIGICOG-MS (Digital assessment of Cognitive Impairment in Multiple Sclerosis), a smartphone- and tablet-based mHealth app to self-assess cognitive impairment in MS. This study aimed to test the validity and usability of the novel mHealth app with a sample of people with MS. DIGICOG-MS includes 4 digital tests assumed to evaluate the most affected cognitive domains in MS (visuospatial memory [VSM], verbal memory [VM], semantic fluency [SF], and information processing speed [IPS]) and inspired by traditional paper-based tests that assess the same cognitive functions (10/36 Spatial Recall Test, Rey Auditory Verbal Learning Test, Word List Generation, Symbol Digit Modalities Test). Participants were asked to complete both digital and traditional assessments in 2 separate sessions. Convergent validity was analyzed using the Pearson correlation coefficient to determine the strength of the associations between digital and traditional tests. To test the app's reliability, the agreement between 2 repeated measurements was assessed using intraclass correlation coefficients (ICCs). Usability of DIGICOG-MS was evaluated using the System Usability Scale (SUS) and mHealth App Usability Questionnaire (MAUQ) administered at the conclusion of the digital session. The final sample consisted of 92 people with MS (60 women) followed as outpatients at the Italian Multiple Sclerosis Society (AISM) Rehabilitation Service of Genoa (Italy). They had a mean age of 51.38 (SD 11.36) years, education duration of 13.07 (SD 2.74) years, disease duration of 12.91 (SD 9.51) years, and a disability level (Expanded Disability Status Scale) of 3.58 (SD 1.75). Relapsing-remitting MS was most common (68/92, 74%), followed by secondary progressive (15/92, 16%) and primary progressive (9/92, 10%) courses. Pearson correlation analyses indicated significantly strong correlations for VSM, VM, SF, and IPS (all P<.001), with r values ranging from 0.58 to 0.78 for all cognitive domains. Test-retest reliability of the mHealth app was excellent (ICCs>0.90) for VM and IPS and good for VSM and SF (ICCs>0.80). Moreover, the SUS score averaged 84.5 (SD 13.34), and the mean total MAUQ score was 104.02 (SD 17.69), suggesting that DIGICOG-MS was highly usable and well appreciated. The DIGICOG-MS tests were strongly correlated with traditional paper-based evaluations. Furthermore, people with MS positively evaluated DIGICOG-MS, finding it highly usable. Since cognitive impairment poses major limitations for people with MS, these findings open new paths to deploy digital cognitive tests for MS and further support the use of a novel mHealth app for cognitive self-assessment by people with MS in clinical practice.

Is ChatGPT a reliable source of scientific information regarding third-molar surgery?

BackgroundChatGPT (OpenAI) is a large language model. This model uses artificial intelligence and machine learning techniques to generate humanlike language and responses, even to complex questions. The authors aimed to assess the reliability of responses provided via ChatGPT and evaluate its trustworthiness as a means of obtaining information about third-molar surgery. MethodsThe authors assessed the 10 most frequently asked questions about mandibular third-molar extraction. A validated questionnaire (Chatbot Usability Questionnaire) was used and 2 oral and maxillofacial surgeons compared the answers provided with the literature. ResultsMost of the responses (90.63%) provided via the ChatGPT platform were considered safe and accurate and followed what was stated in the English-language literature. ConclusionsThe ChatGPT platform offers accurate and scientifically backed answers to inquiries about third-molar surgical extraction, making it a dependable and easy-to-use resource for both patients and the general public. However, the platform should provide references with the responses to validate the information. Practical ImplicationsPatients worldwide are exposed to reliable information sources. Oral surgeons and health care providers should always advise patients to be aware of the information source and that the ChatGPT platform offers a reliable solution.

User-Centered Fire Emergency Response System Design for Presenting BIM and IoT Data

Advanced technologies, such as Building Information Modeling (BIM) and the Internet of Things (IoT), can supply information for decision-making during a fire emergency. However, the data retrieved fails to cover all the critical knowledge required for situational awareness or fails to present to the users in a usable and effective way. This study aims to develop an effective user interface for a Fire Emergency Response System (FERS) based on BIM and IoT technologies to provide the information required for situational awareness. The study uses the User-Centered Design (UCD) method to achieve this aim and develops the Graphical User Interface (GUI) of the FERS based on the identified information requirements. To evaluate the usability of the developed GUI and to finalize the design, the feedback from the experts was retrieved via recordings when they were using the prototype and a combined usability questionnaire of Usability Metric for User Experience (UMUX) and After-Scenario Questionnaire (ASQ). The findings illustrate that the GUI successfully presented the information to meet the user goals and has the potential to significantly improve the efficacy of fire responding operations and minimize the risk of loss of life and property damage.

The effect of visual feedback-based clinical monitoring application in patients with chronic low back pain: a randomized controlled trial

PurposeNo study has addressed the effect of patient-reported outcomes as a visual feedback tool during telerehabilitation. This study aimed to investigate the effect of a visual feedback-based monitoring application PhysioAnalyst on pain, pain catastrophizing, physical functions, quality of life, usability, satisfaction, and exercise adherence in individuals with chronic low back pain (CLBP).MethodsA single-blind, randomized controlled trial was conducted with 44 CLBP patients. Participants were randomized into two groups: the tele-assessment feedback group (TAFG) (n = 22) and the control group (CG) (n = 22). Participants were assessed before the intervention, at the 4th week and after the intervention. Individuals were assessed using the Visual Analog Scale (VAS), Nottingham Health Profile (NHP), Pain Catastrophizing Scale (PCS), Oswestry Disability Index (ODI), Telehealth Usability Questionnaire (TUQ), Telemedicine Satisfaction Questionnaire (TSQ), and Exercise Adaptation Rating Scale (EARS) via PhysioAnalyst. Individuals in the TAFG group received graph-based visual feedback on assessment data in week 4.ResultsThe improvement in VAS, NHP, ODI, TUQ, TSQ, and EARS of individuals in TAFG was statistically significant (p < 0.05). Only ODI and PCS scores in CG showed significant improvement (p < 0.05). After the graphics-based visual feedback presented to the TAFG, the VAS, NHP-Emotional, NHP-Sleep, NHP-Total, PCS, TUQ, TSQ, ODI, and EARS scores gained more than CG (p < 0.05).ConclusionThe results confirmed the additional contribution of telerehabilitation’s graphics-based visual feedback in pain, pain catastrophizing, disability, quality of life, and exercise participation. Since the importance of continuity in long-term rehabilitation in patients with CLBP is comprehended, feedback to increase patient motivation can be added to telerehabilitation applications.

An Epistemic Look at Parental Conceptual Knowledge and Oral Health Outcomes in Children.

Objective. This study explores the impact of parental oral health knowledge on children's oral health, investigating if limited knowledge contributes to poor outcomes. The CAMBRA caries risk assessment and the World Health Organization dmft/DMFT index measure oral health. Methods. Over 23 months, the Knowledge Related to Oral Health Literacy (KROHL) questionnaire assesses parental knowledge in 4 domains and 5 oral health conditions. Pearson Correlation Coefficient analyzes the association between KROHL scores and CAMBRA outcomes. Results. Positive correlation emerges between parental oral health knowledge levels and children's dental caries risk, indicating the KROHL questionnaire's utility in identifying knowledge gaps. No standardized method for measuring oral health knowledge exists, although various tools claim to address aspects of the issue. This study pioneers the correlation between oral health knowledge and CAMBRA outcomes. Conclusion. The KROHL questionnaire proves a practical, disease-specific tool for research, emphasizing parental oral health knowledge's pivotal role in children's oral health. It serves as a valuable means to identify knowledge gaps and potential areas for intervention and education in oral health.

Hot press machine user interface design based on usability evaluation

The success of a tool depends on user satisfaction, and users will feel satisfied if they can do their work effectively and efficiently. The Hotpress machine has been developed for the 3rd generation and is currently a tool for processing plastic waste into a substitute for plywood. This research aims to evaluate the usability level of the Hotpress G3 machine and design a user interface based on the evaluation results to make it easier for users to operate the machine. The Nielsen Attributes of Usability (NAU) Questionnaire is used to evaluate a machine's usability level, and Retrospective Think Aloud (RTA) is used to identify problems in user interaction with a product or system. The results obtained from this research are that based on the five attributes used, the Hotpress G3 machine has a low rating in four usability aspects based on the Nielsen model. Based on the results of the usability evaluation, a recommended user interface was designed, namely adding information to each control button according to its function, adding a sensor to determine whether the heating switch is on or not and providing information about the maximum temperature by adding an alarm to the engine box.

Evaluation of the usability of the Quali+ mobile application for people with high blood pressure.

To evaluate the usability of the "Quali+" mobile application prototype for people with high blood pressure. Descriptive, cross-sectional study of heuristic evaluation of a mobile application prototype carried out between June and July 2021, in a university hospital. Participants were 22 people with arterial hypertension in the city of Campina Grande, PB, Brazil. To measure usability, the Smartphone Usability questionnaiRE instrument was applied. Levels (70 points have good usability. Descriptive statistics were used. The overall usability average was 105.8(7.44 points, with the lowest score being 83 and the highest being 113. Usability was at the highest level(80 points). The usability evaluation showed that, although it is a prototype, the application has good usability and can be considered for routine use in health self-management. Future research is needed to verify its effectiveness.

Multiplatform web app (My Way Up) plus motivational interviewing for improving treatment retention in patients with onset of alcohol-related liver disease and alcohol use disorder - an example of participatory research.

With the aim of improving treatment retention in patients with the onset of alcohol-related liver disease (ArLD), we designed a blended intervention (brief motivational intervention + 'serious game' (SG)). We present the participatory design methodology and outcomes and the usability assessment of the intervention. (1) The design of the SG was based on the outcomes of two 3-h co-creation sessions with 37 participants (healthcare and technology professionals, patients, and patients' relatives). The brief face-to-face motivational intervention was based on the 5 As Model and adapted to the ArLD population. (2) Usability pilot study: 20 participants (10 ArLD patients + 10 healthcare professionals) received the intervention. System Usability Scale (SUS) and Post-Study System Usability Questionnaire (PSSUQ) were applied to assess the SG usability and patients' satisfaction with it. Weekly semi-structured interviews on the phone were conducted to identify the preferred elements in the SG and those aspects that should be improved. (1) Design: an SG in the form of a gamified web app, consisting of a daily activity for six weeks and adapted brief motivational interviewing. (2) Usability pilot study: usability results were excellent for both patients and healthcare professionals (SUS median score = 85). The general usability, the quality of the information provided by the SG and the quality of the interface were very positively rated in the PSSUQ (overall median score = 2, IQR = 1-2). The best-rated aspects were the provision of feedback, the use of metaphors and the application of audiovisual material. Changes in the design, response mechanics and content were applied after the study. The usability and acceptability of an intervention for increasing retention to treatment in patients with recent onset of ArLD and AUD were excellent for patients and healthcare professionals. A randomized-controlled trial is required to test the efficacy of this approach.

Factors associated with usability of the EMPOWER-SUSTAIN Self-management mobile app© among individuals with cardiovascular risk factors in primary care.

This study aimed to determine the usability of the EMPOWER-SUSTAIN Self-Management Mobile App© and evaluate the factors associated with its usability among patients with cardiovascular risk factors in primary care. This was a cross-sectional study, conducted among patients aged ≥ 18 years with cardiovascular risk factors attending a university primary care clinic. Patients were given the app to use for at least three months. Those who fulfilled the eligibility criteria were recruited. Data gathered were on sociodemographic, clinical characteristics, self-management support by doctors, utilisation of the app at home and social support in using the app. The previously translated and validated Malay version of the mHealth App Usability Questionnaire was used to measure usability. The mean usability score was calculated and linear regressions analysis was conducted to determine the factors associated with the usability of the app. A total of 247 patients with at least one cardiovascular risk factor(s) were recruited. The mean age was 60.2 (±8.2). The majority were Malays (86.2%) and half of them were males (52.2%). The total mean (±SD) usability score was 5.26 (±0.67) indicating a high usability of the app. Usability of the app declined with increasing age in the simple linear regressions analysis. The multiple linear regressions yielded that being Malay (b = 0.31, 95% CI 0.08,0.54), using the app at home to understand their medications (b = 0.33, 95% CI 0.12,0.53) and having social support from family members and friends (b = 0.28, 95% CI 0.07,0.49) were significantly associated with higher usability of the app. The usability of the EMPOWER-SUSTAIN Self-Management Mobile App© was high among patients with cardiovascular risk factors in our primary care clinic. This finding supports the widespread use of this app among our patients. Involvement of family members and friends should be encouraged to improve the usability of the app.

The most used questionnaires for evaluating the usability of robots and smart wearables: A scoping review.

As the field of robotics and smart wearables continues to advance rapidly, the evaluation of their usability becomes paramount. Researchers may encounter difficulty in finding a suitable questionnaire for evaluating the usability of robotics and smart wearables. Therefore, the aim of this study is to identify the most commonly utilized questionnaires for assessing the usability of robots and smart wearables. A comprehensive search of databases, including PubMed, Web of Science, and Scopus, was conducted for this scoping review. Two authors performed the selection of articles and data extraction using a 10-field data extraction form. In cases of disagreements, a third author was consulted to reach a consensus. The inclusions were English-language original research articles that utilized validated questionnaires to assess the usability of healthcare robots and smart wearables. The exclusions comprised review articles, non-English publications, studies not focused on usability, those assessing clinical outcomes, articles lacking questionnaire details, and those using non-validated or researcher-made questionnaires. Descriptive statistics methods (frequency and percentage), were employed to analyze the data. A total of 314 articles were obtained, and after eliminating irrelevant and duplicate articles, a final selection of 50 articles was included in this review. A total of 17 questionnaires were identified to evaluate the usability of robots and smart wearables, with 10 questionnaires specifically for wearables and 7 questionnaires for robots. The System Usability Scale (50%) and Post-Study System Usability Questionnaire (19.44%) were the predominant questionnaires utilized to assess the usability of smart wearables. Moreover, the most commonly used questionnaires for evaluating the usability of robots were the System Usability Scale (56.66%), User Experience Questionnaire (16.66%), and Quebec User Evaluation of Satisfaction with Assistive Technology (10%). Commonly employed questionnaires serve as valuable tools in assessing the usability of robots and smart wearables, aiding in the refinement and optimization of these technologies for enhanced user experiences. By incorporating user feedback and insights, designers can strive towards creating more intuitive and effective robotic and wearable solutions.

Feasibility and Usability of EnergyPoints: A Mobile Health App to Guide Acupressure Use for Cancer Symptom Management.

To examine the feasibility and usability of EnergyPoints™, an innovative mobile health app that teaches and guides people with cancer to implement daily acupressure to self-manage their fatigue and sleep disturbances. The study used an integrated agile, human-centered approach. Adults (age 18 years and over) with cancer experiencing at least moderate fatigue, and living in the Greater New York City community, were recruited from social media, patient advocacy groups, and referrals. Twenty participants (in 3 sprints of 3, 5, and 12) were video-recorded thinking aloud while using the app for the first time. They then used the app at home to self-administer acupressure (twice daily for 1 week) while continuously wearing a fitness tracker. Each participant completed an exit interview and modified Computer System Usability Questionnaire post-participation. Participants were ages 40 to 76 years and 65% female; 65% were non-Hispanic white. Mean pass rates per ritual exceeded 80%. Users completed (totally or partially) greater than 90% of stimulating acupressure and 70% of relaxing acupressure rituals. Sprint 3 SPs totally completed at least 1 ritual 87% of the time. The majority agreed or strongly agreed the app was easy to use (90%), easy to learn (85%), easy to understand (75%), and effective in helping perform self-acupressure (85%). In an analysis of ease of completing 5 key tasks, all successfully completed the tasks; 3 users required some assistance. Of 654 usability statements, those coded as personal experience/context (197), content related to acupressure learning (105), and content related to the onboarding/profile (71) were most frequent. The design team integrated recommendations into the app before the next sprint. Findings supported feasibility and usability, as well as acceptability, and led to significant alterations and improvements. EnergyPoints™ offers an opportunity to mainstream acupressure and help cancer survivors self-manage their symptoms.

Redesigning UI/UX Of Itenas Online Graduation Registration Website Using Lean UX And Post-Study System Usability Questionnaire

Rapid advancement of Information Technology has accelerated the flow of information and data. The National Institute of Technology (Itenas) has improved its services with an online graduation registration system (Pendaftaran Wisuda Online). However, based on observations and the result of Post-Study System Usability Questionnaire (PSSUQ) revealed negative experiences on the website. Based on PSSUQ scores, where lower values indicate better performance, it averaged 3.31 for SYSUSE, 3.41 for INFOQUAL, and 3.71 for INTERQUAL, all of which exceeded the Upper Limit of PSSUQ. This suggests room for enhancing usability and user experience. Addressing this, a study focused on redesigning Itenas’ Graduation Registration website using the Lean UX approach and evaluating it through Usability Testing and PSSUQ. The results of usability testing included effectiveness, efficiency, and satisfaction aspects. Effectiveness scored 90.5%, surpassing the 78% average. Efficiency achieved a time of 0.0658 goal/seconds. For the satisfaction aspect, assessed by PSSUQ, achieved significant results, where all sub-scales received scores below the Lower Limit, indicating excellent performance, showed excellent performance with scores below the Lower Limit. SYSUSE scored 1.55, INFOQUAL 1.92, INTERQUAL 1.38, and OVERALL, 1.65. These results indicate that UI/UX improvements fulfilled user needs, marking a successful overhaul of the Itenas Graduation Registration website.

The German version of the mHealth App Usability Questionnaire (GER-MAUQ): Translation and validation study in patients with cardiovascular disease.

In Germany, only a few standardized evaluation tools for assessing the usability of mobile Health apps exist so far. This study aimed to translate and validate the English patient version for standalone apps of the mHealth App Usability Questionnaire (MAUQ) into a German version. Following scientific guidelines for translation and cross-cultural adaptation, the patient version for standalone apps was forward and back-translated from English into German by an expert panel. In total, 53 participants who were recruited as part of the beta testing process of the recently developed mHealth app HerzFit, answered the questions of the German version of the MAUQ (GER-MAUQ) and the System Usability Scale. Subsequently, a descriptive as well as a psychometric analysis was performed to test validity and reliability. After conducting three cognitive interviews, five items were modified. The values for Cronbach alpha for the entire questionnaire and the three subscales (0.966, 0.814, 0.910, and 0.909) indicate strong internal consistency. The correlation analysis revealed that the scores of the GER-MAUQ, the subscales and the SUS were strongly correlated with each other. The correlation coefficient of the SUS and the GER-MAUQ overall score was r = 0.854, P < 0.001 and the coefficients of the subscales and the SUS were r = 0.642, P < 0.001; r = 0.866, P < 0.001 and r = 0.643, P < 0.001. We have developed a novel German version of the MAUQ and demonstrated it as a reliable and valid measurement tool for assessing the usability of standalone mHealth apps from the patients' perspective. The GER-MAUQ allows a new form of standardized assessment of usability of mHealth apps for patients with cardiovascular disease in Germany. Further research with a larger sample and other samples is recommended.

User-centered development of an mHealth app for cardiovascular prevention

Background Mobile health (mHealth) apps can be used for cardiovascular disease (CVD) prevention. User-centered design, evidence-based content and user testing can be applied to ensure a high level of usability and adequate app access. Objective To develop and evaluate an mHealth app ( HerzFit) for CVD prevention. Methods HerzFit´s development included a user-centered design approach and guideline-based content creation based on the identified requirements of the target group. Beta testing and a preliminary usability evaluation of the HerzFit prototype were performed. For evaluation, German versions of the System Usability Scale (SUS) and the mHealth App Usability Questionnaire (GER-MAUQ) as well as free text feedback were applied. Results User-centered design thinking led to the definition of four personas. Based on their requirements, HerzFit enables users to individually assess, monitor, and optimize their cardiovascular risk profile. Users are also provided with a variety of evidence-based information on CVD and their risk factors. The user interface and system design followed the identified functional requirements. Beta-testers provided feedback on the structure and functionality and rated the usability of HerzFit´s prototype as slightly above average both in SUS and GER-MAUQ rating. Participants positively noted the variety of functions and information presented in HerzFit, while negative feedback mostly concerned wearable synchronization. Conclusions The present study demonstrates the user-centered development of a guideline-based mHealth app for CVD prevention. Beta-testing and a preliminary usability study were used to further improve the HerzFit app until its official release.