Analyses of user experience in the electronic entertainment industry currently rely on self-reporting methods, such as surveys, ratings, focus group interviews, etc. We argue that self-reporting alone carries inherent problems-mainly the misinterpretation and temporal delay during longer experiments-and therefore, should not be used as a sole metric. To tackle this problem, we propose the possibility of modeling consumer experience using psychophysiological measures and demonstrate how such models can be trained using machine learning methods. We use a machine learning approach to model user experience using real-time data produced by the autonomic nervous system and involuntary psychophysiological responses. Multiple psychophysiological measures, such as heart rate, electrodermal activity, and respiratory activity, have been used in combination with self-reporting to prepare training sets for machine learning algorithms. The training data was collected from 31 participants during hour-long experiment sessions, where they played multiple video-games. Afterwards, we trained and compared the results of four different machine learning models, out of which the best one produced ∼96% accuracy. The results suggest that psychophysiological measures can indeed be used to assess the enjoyment of digital entertainment consumers.

• MeSH
• algoritmy MeSH
• autonomní nervový systém fyziologie   MeSH
• dospělí MeSH
• galvanická kožní odpověď fyziologie   MeSH
• lidé MeSH
• mladý dospělý MeSH
• psychofyziologie metody   MeSH
• srdeční frekvence fyziologie   MeSH
• strojové učení MeSH
• videohry psychologie   MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

The aim of this paper is to compare different models of accessibility evaluation of websites. It describes various aspects of automatic, manual and user based forms of accessibility evaluation in the context of visual impairment. Automatic analysis of accessibility implemented with the use of special programs brings exact evaluation findings based on the source code, style sheets, scripts, and other parts of the website. We found that the exactness of these findings does correspond with the real-life results based on actual accessibility experienced by persons with visual disabilities. The presented results of individual researches show a big variance in conformity with automatic and manual evaluation. The discrepancies in the conclusions of automated and manual forms of testing in 2008 we recorded in 41 % of web sites. In 2013 on a sample of 135 web sites we recorded noticed signifi cant differences in the conclusions of the 34 % of analyzed web sites. This proves that model of manual accessibility evaluation is in terms of the overall assessment of the state of web content accessibility irreplaceable. However, necessary prerequisite for the implementation of manual evaluation is suffi cient expertise, based on the knowledge and accessibility standards as well as knowledge of the principles of the use of assistive technologies for persons with visual disabilities. During an investigation, we also found that with the experience-based user evaluation model we can point out such aspects of accessibility problems, which may not be caught by both automatic and manual evaluation.

• Klíčová slova
• automatické hodnocení, ruční hodnocení,
• MeSH
• internet * trendy   využití   MeSH
• lidé MeSH
• technologie MeSH
• univerzity MeSH
• výsledek terapie MeSH
• výzkum klasifikace   normy   organizace a řízení   trendy   MeSH
• zrakově postižení * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• práce podpořená grantem MeSH

Národní lékařská knihovna umožňuje přístup k medicínským plnotextovým a bibliografickým databázím, které ale nejsou optimálně využívány kvůli různorodosti uživatelských rozhraní jednotlivých vyhledávacích systémů. Hlavním důvodem jsou vyhledávací služby společnosti Google, které výrazným způsobem ovlivnily informačního chování uživatelů a jejich způsoby vyhledávání informací (jedno vyhledávací okno, jednoduché uživatelské rozhraní atd.). V roce 2011 byl proto v NLK zprovozněn metavyhledávací systém MedGate, využívající systém tzv. federativního vyhledávání 360Search od společnosti Serials Solutions, jeho využití se však pohybovalo pouze v řádu desítek přístupů měsíčně a jeho zavedení se nijak neodrazilo ve využívání koncových informačních zdrojů. NLK reagovala v roce 2013 změnou přístupu k vyhledávání informačních zdrojů posunem k tzv. discovery systému. Byl vybrán discovery systém Summon (Ex Libris a ProQuest Company), který pracuje na stejném principu jako vyhledávač Google. Rychlost a spolehlivost vyhledávání je zajištěna tzv. centrálním indexem, kam jsou stahovány a zpracovávány data od producentů databází. Uživatel vyhledává pouze v jediném okně (s možností rozšířeného vyhledávání pro složitější dotazy) a v jednom uživatelském rozhraní. Pro zajištění viditelnosti této služby a zajištění rychlejšího přístupu k plnotextovým zdrojům je vyhledávací okno Summonu umístěno na úvodní stránce NLK. Příspěvek analyzuje využívanost discovery systému Summon od zavedení do provozu.

National Medical Library provides access to medical full-text and bibliographic databases, but they are not used optimally due to the diversity of user interfaces of each search system, because Google's search services significantly affected the information behavior and ways of searching for information (one search box, user-frendly interface, etc.). In 2011 National Medical Library started to use federated search system MedGate (360Search) from Serials Solutions. MedGate´s usability was only tens of visitors monthly and statistics of information resources usability was still the same as before the introduction of the federated search system. In 2013, therefore, NML changed access to searching of the information resources content. Web scale discovery service Summon (Ex Libris and ProQuest Company) was chosen , which works on the same principle as Google search engine. Speed and reliability of searching is ensured by centralized index, where data from producers of databases are downloaded and processed. User can search either in one search box or use an advanced search (for more complex queries), and in the same user-frendly interface. The paper analyzes the usability of the web scale discovery service Summon since its start.

• MeSH
• databáze bibliografické MeSH
• informační služby * MeSH
• lékařské knihovny MeSH
• software MeSH
• uživatelské rozhraní počítače MeSH
• vyhledávač MeSH

• Publikační typ
• časopisecké články MeSH

• MeSH
• dítě MeSH
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• počítačem řízená výuka MeSH
• poruchy sluchu MeSH
• výuka práce s počítačem MeSH
• Check Tag
• dítě MeSH
• dospělí MeSH
• lidé MeSH
• mladiství MeSH

• Klíčová slova
• teorie multimediálního uživatelského rozhraní,
• MeSH
• algoritmy MeSH
• Bayesova věta MeSH
• filozofie MeSH
• fyzika metody   trendy   MeSH
• kognitivní věda metody   trendy   MeSH
• lidé MeSH
• metafyzické vztahy mezi duší a tělem fyziologie   klasifikace   MeSH
• mozek fyziologie   MeSH
• nervové receptory fyziologie   MeSH
• percepce fyziologie   klasifikace   MeSH
• planetární evoluce MeSH
• rozpoznávání obrazu fyziologie   klasifikace   MeSH
• sebepojetí * MeSH
• statistika jako téma MeSH
• teorie mysli * fyziologie   klasifikace   MeSH
• vědomí * fyziologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• přehledy MeSH

Motivation: Modern molecular methods have increased our ability to describe microbial communities. Along with the advances brought by new sequencing technologies, we now require intensive computational resources to make sense of the large numbers of sequences continuously produced. The software developed by the scientific community to address this demand, although very useful, require experience of the command-line environment, extensive training and have steep learning curves, limiting their use. We created SEED 2, a graphical user interface for handling high-throughput amplicon-sequencing data under Windows operating systems. Results: SEED 2 is the only sequence visualizer that empowers users with tools to handle amplicon-sequencing data of microbial community markers. It is suitable for any marker genes sequences obtained through Illumina, IonTorrent or Sanger sequencing. SEED 2 allows the user to process raw sequencing data, identify specific taxa, produce of OTU-tables, create sequence alignments and construct phylogenetic trees. Standard dual core laptops with 8 GB of RAM can handle ca. 8 million of Illumina PE 300 bp sequences, ca. 4 GB of data. Availability and implementation: SEED 2 was implemented in Object Pascal and uses internal functions and external software for amplicon data processing. SEED 2 is a freeware software, available at http://www.biomed.cas.cz/mbu/lbwrf/seed/ as a self-contained file, including all the dependencies, and does not require installation. Supplementary data contain a comprehensive list of supported functions. Supplementary information: Supplementary data are available at Bioinformatics online.

• MeSH
• analýza dat MeSH
• fylogeneze MeSH
• genetické markery genetika   MeSH
• mikrobiota genetika   MeSH
• sekvenční seřazení MeSH
• software * MeSH
• vysoce účinné nukleotidové sekvenování metody   MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

• MeSH
• ambulantní monitorování MeSH
• bydlení MeSH
• financování organizované MeSH
• internet MeSH
• křehký senior MeSH
• lidé MeSH
• on-line systémy přístrojové vybavení   trendy   využití   MeSH
• počítačové komunikační sítě přístrojové vybavení   trendy   využití   MeSH
• prostředí kontrolované MeSH
• senioři MeSH
• sociální péče trendy   MeSH
• software MeSH
• svobodní MeSH
• telemedicína metody   přístrojové vybavení   trendy   MeSH
• telemetrie přístrojové vybavení   trendy   využití   MeSH
• uživatelské rozhraní počítače MeSH
• Check Tag
• lidé MeSH
• senioři MeSH

Background: Prevalence of visual impairment is increasing all around the world and this impairment makes the medication management process more complicated. According to literature, Technology, particularly mobile technology has a significant impact on both medication adherence and improving quality of life for people with visual impairment. Due to aforementioned facts, the researchers decided to identify the user’s goals for a mHealth-based medication management system for visually impaired individuals to help the developers to design and develop a medication management system for visually impaired individuals considering to improve their medication adherence and also preserve their independence. Methods: A goal directed approach, introduced by Cooper, has been used in order to extract the goals of visually impaired users who would employ a medication management system. One the most important concepts of this method are designing personas. The needed data for designing personas were extracted from two literature reviews and interviews with 14 visually impaired individuals and three experts of this area. Therefore the personas’ different goals were defined. Results: As the results of this study, three personas were designed according to the extracted data and three categories of user goals including experience goals, end goals and life goals were determined for this system. Conclusion: This study could help the researchers and developers to design and develop an appropriate digital product for people with visual impairment, in order to increase their medication adherence. In addition, the findings of this study could help the policy makers of different areas to increase the quality of life for the people with visual impairment by eliminating the barriers of independent and effective medication adherence.nt..

• MeSH
• lidé MeSH
• management farmakoterapie MeSH
• management nemoci MeSH
• poruchy zraku * diagnóza   klasifikace   MeSH
• zrakově postižení MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• hodnotící studie MeSH

INTRODUCTION: The COVID-19 pandemic underlined that guidelines and recommendations must be made more accessible and more understandable to the general public to improve health outcomes. The objective of this study is to evaluate, quantify, and compare the public's understanding, usability, satisfaction, intention to implement, and preference for different ways of presenting COVID-19 health recommendations derived from the COVID-19 Living Map of Recommendations and Gateway to Contextualization (RecMap). METHODS AND ANALYSIS: This is a protocol for a multi-method study. Through an online survey, we will conduct pragmatic allocation-concealed, blinded superiority randomized controlled trials (RCTs) in three populations to test alternative formats of presenting health recommendations: adults, parents, and youth, with at least 240 participants in each population. Prior to initiating the RCT, our interventions will have been refined with relevant stakeholder input. The intervention arm will receive a plain language recommendation (PLR) format while the control arm will receive the corresponding original recommendation format as originally published by the guideline organizations (standard language version). Our primary outcome is understanding, and our secondary outcomes are accessibility and usability, satisfaction, intended behavior, and preference for the recommendation formats. Each population's results will be analyzed separately. However, we are planning a meta-analysis of the results across populations. At the end of each survey, participants will be invited to participate in an optional one-on-one, virtual semi-structured interview to explore their user experience. All interviews will be transcribed and analyzed using the principles of thematic analysis and a hybrid inductive and deductive approach. ETHICS AND DISSEMINATION: Through Clinical Trials Ontario, the Hamilton Integrated Research Ethics Board has reviewed and approved this protocol (Project ID: 3856). The University of Alberta has approved the parent portion of the trial (Project ID:00114894). Findings from this study will be disseminated through open-access publications in peer-reviewed journals and using social media. TRIAL REGISTRATION: Clinicaltrials.gov NCT05358990 . Registered on May 3, 2022.

• MeSH
• COVID-19 * MeSH
• dospělí MeSH
• lidé MeSH
• metaanalýza jako téma MeSH
• mladiství MeSH
• průzkumy a dotazníky MeSH
• randomizované kontrolované studie jako téma MeSH
• SARS-CoV-2 MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Ontario MeSH