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About 10,000 papers for “System usability scale”

System usability scale.

Hannah K. M. Tang (21594059), Mark J. Lake (21594062), Richard J. Foster (3323715) et al. · Figshare · 2025

<div> Injuries during quick directional change (cutting) are common, particularly to the anterior cruciate ligament of the knee. Cutting is subsequently a focus in research and clinical practices. However, it is usually assessed in situations with low ecological validity. As a solution, virtual reality (VR) has been used to replicate sporting scenarios. The current paper details the design, development, and piloting of a VR application based on an unanticipated-cutting scenario using an avatar-opponent blocking manoeuvre. The VR environment is highly realistic, avatar approach is instigated by the movement of the headset user, and simple input alters the avatar’s movements and spatiotemporal demands of the cutting task. Piloting occurred in two stages: the first involved three participants and focused on initial system testing and parameter optimisation, the second focused on a pilot case study with a female participant of typical population. The case study evaluated the effects of using different visual cutting cues on frontal plane knee kinematics and kinetics linked to injury risk. Twenty-five successful, unanticipated, 90⁰ cutting manoeuvres to the left were analysed in three conditions: 1) physical world with arrows, 2) VR environment emulation with VR arrows, 3) VR environment emulation with VR avatar opponent. Mean knee angle during the arrow conditions, both physical and VR, presented abduction angles (−8.82° ± 1.44; −2.66° ± 0.90), yet cutting around the avatar opponent presented knee adduction angles (9.78° ± 0.44). During the 50 ms prior to heel strike, pelvis velocity was lowest and cutting foot velocity highest in the avatar condition compared to arrow conditions. This indicated the VR environment acts as a suitable control and that cutting strategy was adapted approaching the avatar, displaying more caution on approach. The avatar-based application has the potential to improve the ecological validity of cutting assessment and make a VR application more accessible to researchers and clinicians, with further development. </div>

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System usability scale.

Aminat Adebiyi (3738247), Paige Sorrentino (3738259), Shadi Bohlool (3738256) et al. · Figshare · 2017

&lt;p&gt;Full text of the ten-item Leikart-style scale developed by John Brooke to quantify subjective usability of a device. Text includes explanation of the questionnaire and a sample of the scale at the end of the document.&lt;/p&gt; &lt;p&gt;(PDF)&lt;/p&gt;

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System Usability Scale.

Imogen Rogers (16272269), Tom Grice-Jackson (17478572), Elizabeth Ford (381364) et al. · Figshare · 2023

&lt;div&gt;&lt;p&gt;Materially deprived communities in the UK have excess morbidity and mortality from cardiovascular disease (CVD) but are less likely to engage with formal care pathways. Community engagement and e-health may be more effective ways to promote risk-reducing lifestyle change. The “Healthy Hearts Project” website was designed for use by community health workers (CHWs) for cardiovascular risk assessment and lifestyle goal setting, or for independent use by community members. This paper describes the website’s development and evaluation. The website was developed using interactive wire frame prototypes in a user-led approach. Qualitative evaluation of the completed website’s usability and acceptability was conducted using the “Thinking Aloud” method in a purposive sample of 10 participants (one voluntary sector employee, three CHWs, two community members and four healthcare professionals). Thinking Aloud interview transcripts were thematically analysed using an inductive approach. A separate quantitative evaluation of usability and the effect of using the website on CVD knowledge and beliefs was conducted. A random sample of 134 participants, recruited using the online platform Prolific, completed the “Attitudes and Beliefs About Cardiovascular Disease” (ABCD) questionnaire before and after using the website, along with the System Usability Scale (SUS). &lt;i&gt;Qualitative evaluation&lt;/i&gt;—Four key themes were identified: 1) Website functionality and design—participants generally found the website easy to use and understood the risk communication graphics and the feedback and goal-setting features,; 2) Inclusivity and representation—most participants considered the website inclusive of a range of users/cultures; 3) Language and comprehension–participants found the language used easy to understand but suggested reducing the amount of text; 4) Motivation and barriers to change–participants liked the personalized feedback and empowerment offered by goal-setting but commented on the need for self-motivation. &lt;i&gt;Quantitative evaluation&lt;/i&gt;–The mean score across all domains of the ABCD questionnaire (from 2.99 to 3.11, p&lt;0.001) and in the sub-domains relating to attitudes and beliefs around healthy eating and exercise increased after using the website. The mean(sd) score on the SUS was 77.5 (13.5). The website’s usability was generally rated well by both quantitative and qualitative measures, and measures of CVD knowledge improved after use. A number of general recommendations for the design of eHealth behaviour change tools are made based on participants’ suggestions to improve the website.&lt;/p&gt;&lt;/div&gt;

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System usability scale scores.

Mara Coduri (17691710), Andrea Calandrino (17691713), Giulia Addiego Mobilio (17691716) et al. · Figshare · 2023

&lt;p&gt;A. Results of the 2D simulation; B. Results of the 3D simulation. White bars indicate control subjects, black Paediatric residents. The dark and light green areas show excellent and good usability score. The yellow line indicates the threshold between neutral, poor (orange) and awful (brown) scores.&lt;/p&gt;

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System Usability Scale Results.

Josh Shore (22430756), Pavreet Gill (22430759), Danielle DuPlessis (14213393) et al. · Figshare · 2025

S4 Appendix presents the raw System Usability Scale results from each clinician participant. (XLSX)

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System Usability Scale Data

Pitzer, Stefan · Figshare · 2022

System Usability Scale (SUS) data incl. assessment and figure 4.

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Modified System Usability Scale.

Harue Akasaka (12884545), Kenichi Hakamada (6643106), Hajime Morohashi (12884548) et al. · Figshare · 2022

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System usability scale (SyUS).

Michelle Roxo-Gonçalves (8939603), Marco Antonio Trevizani Martins (8074235), Manoela Domingues Martins (5137241) et al. · Figshare · 2020

Cited by 0Open access

System Usability Scale Data

Stefan Pitzer · Figshare · 2022

System Usability Scale (SUS) data incl. assessment and figure 4.

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System usability scale scores.

Chunyan Li (211624), Yuan Xiong (40206), Suzanne Maman (516350) et al. · Figshare · 2023

&lt;div&gt;&lt;p&gt;Background&lt;/p&gt;&lt;p&gt;Mobile health (mHealth) is a promising intervention mode for HIV prevention, but little is known about its feasibility and effects in promoting pre-exposure prophylaxis (PrEP) uptake among Chinese gay, bisexual and other men who have sex with men (GBMSM).&lt;/p&gt;&lt;p&gt;Methods&lt;/p&gt;&lt;p&gt;We evaluated an instant messaging application using a WeChat-based mini-app to promote PrEP uptake among GBMSM via a mixed-methods design that includes a 12-week, two-arm randomized controlled pilot trial and in-depth progress interviews in Guangzhou, China. Primary outcomes include the number of PrEP initiations, individual-level psychosocial variables related to PrEP initiation, and usability of the PrEP mini-app.&lt;/p&gt;&lt;p&gt;Results&lt;/p&gt;&lt;p&gt;Between November 2020 and April 2021, 70 GBMSM were successfully enrolled and randomized into two arms at 2:1 ratio (46 to the intervention arm, 24 to the control arm). By the end of 12-week follow-up, 22 (31.4%) participants completed the initial consultation and lab tests for PrEP, and 13 (18.6%) filled their initial PrEP prescription. We observed modest but non-significant improvements in participants’ intention to use PrEP, actual PrEP initiation, PrEP-related self-efficacy, stigma, and attitudes over 12 weeks when comparing the mini-app and the control arms. Qualitative interviews revealed the key barriers to PrEP uptake include anticipated stigma and discrimination in clinical settings, burden of PrEP care, and limited operating hours of the PrEP clinic. In-person clinic navigation support was highly valued.&lt;/p&gt;&lt;p&gt;Conclusions&lt;/p&gt;&lt;p&gt;This pilot trial of a mobile phone-based PrEP mini-app demonstrated feasibility and identified limitations in facilitating PrEP uptake among Chinese GBMSM. Future improvements may include diversifying the content presentation in engaging media formats, adding user engagement features, and providing off-line in-clinic navigation support during initial PrEP visit. More efforts are needed to understand optimal strategies to identify and implement alternative PrEP provision models especially in highly stigmatized settings with diverse needs.&lt;/p&gt;&lt;p&gt;Trial registration&lt;/p&gt;&lt;p&gt;&lt;b&gt;Trial registration&lt;/b&gt;: The study was prospectively registered on clinicaltrials.gov (&lt;a href="https://clinicaltrials.gov/ct2/show/NCT04426656" target="_blank"&gt;NCT04426656&lt;/a&gt;) on 11 June, 2020.&lt;/p&gt;&lt;/div&gt;

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The System Usability Scale (SUS).

Júlia Loverde Gabella (17592829), Iago Amado Peres Gualda (18251633), Isadora Laguila Altoé (18251636) et al. · Figshare · 2024

&lt;div&gt;&lt;p&gt;Introduction&lt;/p&gt;&lt;p&gt;Delays in prehospital care attributable to the call-taking process can often be traced back to miscommunication, including uncertainty around the call location. Geolocation applications have the potential to streamline the call-taking process by accurately identifying the caller’s location.&lt;/p&gt;&lt;p&gt;Objective&lt;/p&gt;&lt;p&gt;To develop and validate an application to geolocate emergency calls and compare the response time of calls made via the application with those of conventional calls made to the Brazilian Medical Emergency System (&lt;i&gt;Serviço de Atendimento Médico de Urgência&lt;/i&gt;—SAMU).&lt;/p&gt;&lt;p&gt;Methods&lt;/p&gt;&lt;p&gt;This study was conducted in two stages. First, a geolocating application for SAMU emergency calls (CHAMU192) was developed using a mixed methods approach based on design thinking and subsequently validated using the System Usability Scale (SUS). In the second stage, sending time of the geolocation information of the app was compared with the time taken to process information through conventional calls. For this, a hypothetical case control study was conducted with SAMU in the Maringá, Paraná, Brazil. A control group of 350 audio recordings of emergency calls from 2019 was compared to a set of test calls made through the CHAMU192 app. The CHAMU192 group consisted of 201 test calls in Maringá. In test calls, the location was obtained by GPS and sent to the SAMU communication system. Comparative analysis between groups was performed using the Mann-Whitney test.&lt;/p&gt;&lt;p&gt;Results&lt;/p&gt;&lt;p&gt;CHAMU192 had a SUS score of 90, corresponding to a “best imaginable” usability rating. The control group had a median response time of 35.67 seconds (26.00–48.12). The response time of the CHAMU192 group was 0.20 (0.15–0.24).&lt;/p&gt;&lt;p&gt;Conclusion&lt;/p&gt;&lt;p&gt;The use of the CHAMU192 app by emergency medical services could significantly reduce response time. The results demonstrate the potential of app improving the quality and patient outcomes related to the prehospital emergency care services.&lt;/p&gt;&lt;/div&gt;

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System usability scale survey questionnaire.

Edward Kofi Sutherland (18530774), Justin Dean Smith (19865027), Millicent Ofori-Boateng (19865030) et al. · Figshare · 2024

&lt;div&gt;&lt;p&gt;Background&lt;/p&gt;&lt;p&gt;The 5-year survival rates for breast and cervical cancers in Ghana are low in comparison to rates in developed countries. This striking disparity is attributed to numerous factors, including limited access and navigability to appropriate services. A one-time cross-sectional, hospital-based survey was performed by the University of Utah in collaboration with Ghana Health Services (GHS) and Health Facilities Regulatory Agency (HeFRA) from November, 2020 to October, 2021 so as to determine existing hospital-based breast and cervical cancer care services capacity and their geographic availability nationwide. This related information remains dynamic in nature and time. The current project employs a public-academic implementation science and research configuration to explore and develop a real-time interface (RTIF) showing the availability of breast and cervical cancer care services at hospital facilities in-country so as to anchor up-to-date data products for the government, private-sector, and patient-centric consumption.&lt;/p&gt;&lt;p&gt;Methods and analysis&lt;/p&gt;&lt;p&gt;Multiple methods will be employed to achieve the study objectives between December 2023 to November 2024. The first three objectives shall focus on contextual, needs, and feasibility assessments guided by the domains and constructs within the updated Consolidated Framework for Implementation Research (CFIR) during coding and thematic qualitative analysis. Using purposive sampling, breast and cervical cancer care service stakeholders shall be identified for individual in-depth interviews. The fourth objective will involve creating the RTIF prototype and piloting it in the Eastern Region of Ghana. The final and fifth objective shall employ the systems usability scale (SUS) amongst ten randomly selected individual stakeholders to assess the technical functionality of the interface. A nationwide scale-up shall follow this.&lt;/p&gt;&lt;/div&gt;

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system usability scale template pdf

vmlwhtzmn · Zenodo (CERN European Organization for Nuclear Research) · 2024

&amp;lt;pre&amp;gt;&amp;lt;code&amp;gt;\n&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;system usability scale template pdf&amp;lt;/strong&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/p&amp;gt;\n&amp;lt;p&amp;gt;Rating: 4.3 / 5 (1342 votes)&amp;lt;br&amp;gt;&amp;lt;/p&amp;gt;\n&amp;lt;p&amp;gt;Downloads: 14106&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/p&amp;gt;\n &amp;lt;p&amp;gt;= = = = = \n&amp;lt;strong&amp;gt;&amp;lt;a href="https://tds11111.com/21Nr9y?keyword=system usability scale template pdf" target="_blank"&amp;gt;CLICK HERE TO DOWNLOAD&amp;lt;/a&amp;gt;&amp;lt;/strong&amp;gt;\n = = = = = &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/p&amp;gt;\n&amp;lt;p&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/p&amp;gt;\n&amp;lt;p&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;/p&amp;gt;\n&amp;lt;p&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;This review of the Find, read Use this template to gather objective and subjective feedback about an experience, product, or design. This review of the SUS covers its early history from inception min. PRO. Req. Prototype. It is often assumed that a Likert scale is simply one based on forced-choice questions, where a statement is made and the respondent then indicates the degree of agreement or disagreement with the This chapter describes the System Usability Scale (SUS) a reliable, low-cost usability scale that can be used for global assessments of systems usability This will help you evaluate the usability of your system and identify areas for improvement based on user feedback. Discover if your product is meeting user expectations by using this The System Usability Scale (SUS) is a simple, ten-item scale giving a global view of subjective assessments of usability. The SUS (Figure 1) is a standardized questionnaire designed to assess perceived usability (Brooke,, ; Sauro,). Start from this template. System usability scale template. Check out this "System Usability Scale (SUS)" template,, design thinking, What Is the System Usability Scale? SUS is a Likert scale. Use this template to gather objective and subjective feedback about an experience, product, or design. System Usability Scale (SUS) Template The System Usability Scale (SUS) was released into this world by John Brooke in It was originally created as a "quick and dirty" scale for administering after usability tests on systems like VT Terminal ("Green-Screen") applications. The System Usability Scale (SUS) provides a standardized questionnaire that allows you to gather objective feedback from users about the usability of your product or system The System Usability Scale (SUS) PDF Generator is an open source -based tool that allows for fast and easy creation of interactive PDF questionnaires for the System PDF The System Usability Scale (SUS) is the most widely used standardized questionnaire for the assessment of perceived usability. The scale consists of a ten-item questionnaire with five response StepUnderstanding System Usability Scale (SUS) SUS is a simple, item questionnaire that provides a global view of the perceived usability of a product or System Usability Scale (SUS) Originally created by John Brooke ( ) in, "SUS" is one of the best known standardized usability rating scales. The System Usability Scale (SUS) is a free tool designed by John Brooke for Digital Equipment Corporation With this template, you can measure the experience of using a product or design on a standard usability scale and compare experience scores over time—across industries or against competitors using a consistent scale It focuses on providing System Usability Scale (SUS) Template. A survey for quantifying feedback from assessments of usability. The System Usability Scale (SUS) is a free tool designed by John Brooke for Check out this "System Usability Scale (SUS)" template, containing really useful UX tips. Product. Research. In a study of A system usability scale (SUS) is a great tool for measuring the perceived usability of a product or experience. SUS is technology independent and has since been tested on hardware, consumer software The System Usability Scale (SUS) is the most widely used standardized questionnaire for the assessment of perceived usability. Usability Testing. Here's an actual SUS survey template that you can use to gather user feedback and assess the usability of your system.&amp;lt;/p&amp;gt;&amp;lt;/code&amp;gt;&amp;lt;/pre&amp;gt;

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Evaluasi Usability Google Classroom Menggunakan System Usability Scale

Dimas Setiawan, Suluh Langgeng Wicaksono · Walisongo Journal of Information Technology · 2020

Pandemi Covid-19 membuat pengguna E-learning di masa meningkat pesat, hal ini dikarenakan adanya kebijakan WFH (&lt;em&gt;work from home&lt;/em&gt;) dari pemerintah sehingga seluruh proses kegiatan pembelajaran di kelas digantikan dengan model pembelajaran secara online, tak tekecuali di Universitas PGRI Madiun. Salah satu platform &lt;em&gt;E-Learning&lt;/em&gt; yang banyak digunakan adalah &lt;em&gt;Google Classroom&lt;/em&gt;, sebagai salah satu platform yang banyak digunakan tentunya perlu dilakukan evaluasi kepuasan agar terdapat perbaikan kedepannya. System Usability Scale merupakan salah satu metode evaluasi yang digunakan untuk melihat usabilitas dari sebuah produk perangkat lunak. Evaluasi Usability ini dilakukan kepada 10 responden pengguna Google clasrrom mahasiswa lintas angkatan, khususnya di program studi sistem informasi dan Teknik informatika UNIPMA. Berdasarkan hasil evaluasi &lt;em&gt;Usability&lt;/em&gt; &lt;em&gt;E-learning&lt;/em&gt; platform &lt;em&gt;Google calssroom &lt;/em&gt;memiliki score 82,8 dan dianggap telah memenuhi unsur &lt;em&gt;Usablity&lt;/em&gt;

Cited by 45Open access