Pub Date : 2024-03-14DOI: 10.3389/fcomp.2024.1393102
Zhuying Li, Xipei Ren, Chengyu Liu, Ding Ding, Xinyi Fu
{"title":"Editorial: Body-centric computing for health and wellbeing","authors":"Zhuying Li, Xipei Ren, Chengyu Liu, Ding Ding, Xinyi Fu","doi":"10.3389/fcomp.2024.1393102","DOIUrl":"https://doi.org/10.3389/fcomp.2024.1393102","url":null,"abstract":"","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140244265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-13DOI: 10.3389/fcomp.2024.1294985
A. Memon, Dileep Kumar Sootahar, K. K. Luhana, Kyrill Meyer
With the rapid accumulation of large amounts of user-generated content through social media, social data reuse and integration have gained increasing attention recently. This has made it almost obsolete for software applications to collect, store, and work with their own data stored on local servers. While, with the provision of Application Programming Interfaces from the leading social networking sites, data acquisition and integration has become possible, the meaningful usage of such unstructured, non-uniform, and incoherent data collections needs special procedures of data summarization, understanding, and visualization. One particular aspect in this regard that needs special attention is the procedures for data (text snippets in the form of social media posts) categorization and concept tagging to filter out the relevant and most suitable data for the particular audience and for the particular purpose. In this regard, we propose a corpus-based approach for searching and successively categorizing and tagging the social data with relevant concepts in real time. The proposed approach is capable of addressing the semantical and morphological similarities, as well as domain-specific vocabularies of query strings and tagged concepts. We demonstrate the feasibility and application of our proposed approach in a web-based tool that allows searching Facebook posts and provides search results together with a concept map for further navigation, filtering, and refining of search results. The tool has been evaluated by performing multiple search queries, and resultant concept maps and annotated texts are analyzed in terms of their precision. The approach is thereby found effective in achieving its stated goal of classifying text snippets in real time.
{"title":"A corpus-based real-time text classification and tagging approach for social data","authors":"A. Memon, Dileep Kumar Sootahar, K. K. Luhana, Kyrill Meyer","doi":"10.3389/fcomp.2024.1294985","DOIUrl":"https://doi.org/10.3389/fcomp.2024.1294985","url":null,"abstract":"With the rapid accumulation of large amounts of user-generated content through social media, social data reuse and integration have gained increasing attention recently. This has made it almost obsolete for software applications to collect, store, and work with their own data stored on local servers. While, with the provision of Application Programming Interfaces from the leading social networking sites, data acquisition and integration has become possible, the meaningful usage of such unstructured, non-uniform, and incoherent data collections needs special procedures of data summarization, understanding, and visualization. One particular aspect in this regard that needs special attention is the procedures for data (text snippets in the form of social media posts) categorization and concept tagging to filter out the relevant and most suitable data for the particular audience and for the particular purpose. In this regard, we propose a corpus-based approach for searching and successively categorizing and tagging the social data with relevant concepts in real time. The proposed approach is capable of addressing the semantical and morphological similarities, as well as domain-specific vocabularies of query strings and tagged concepts. We demonstrate the feasibility and application of our proposed approach in a web-based tool that allows searching Facebook posts and provides search results together with a concept map for further navigation, filtering, and refining of search results. The tool has been evaluated by performing multiple search queries, and resultant concept maps and annotated texts are analyzed in terms of their precision. The approach is thereby found effective in achieving its stated goal of classifying text snippets in real time.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140247906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-13DOI: 10.3389/fcomp.2024.1250992
Alan Miralrio, Jessica Muñoz-Villota, Claudia Camacho-Zuñiga
At the time of this writing, emerging Generative Artificial Intelligence (GenAI) technologies, such as ChatGPT, Bard, and DALL-E, are shaping education. Despite their great potential for enhancing education, the discussion on the risks for the Society is an ongoing debate. Remote or distance education (DE) in developed countries has evolved in parallel to the permeation of Information and Communication Technologies (ICT). In Latin America (LATAM), a deep understanding of this interrelated evolution will encourage an efficient implementation of innovative policies, pedagogies, and technologies, including GenAI. This paper presents the historical development of DE in LATAM, drawing connections with milestones along the evolution of ICT in the region. This evolution is described across five generations: Correspondence, Audiovisual, ICTs-based, Web-based, and Interactive. Each generation offered incremental benefits to students, from flexibility and well-designed instructional materials to adaptive, interactive, and cost-effective education. This research encompassed a comprehensive search on Scopus, Web of Science, Google Scholar, ScienceDirect, Latindex, Dialnet, Redalyc, and SciELO with an historical approach. It yielded 97 peer-reviewed articles, books, and reports from recognized international organizations, published in Spanish or English and covering a period spanning from the end of the 19th century to the onset of COVID-19 lockdown. The analysis confirms the critical role of Higher Education Institutions (HEIs) in LATAM in supporting ICT integration, demonstrating a synergistic interplay with DE. Notwithstanding, the region’s social inequality and digital divide have delayed the full deployment of DE’s advantages, in comparison to USA and Europe. The paper exposes different scenarios and tech-educational requirements of DE, showcasing Mexico, Brazil, and Colombia, as well as other countries with smaller populations. Notably, by 2019, Tecnologico de Monterrey in Mexico, and Universidade de São Paulo and Universidade Federal da Paraíba in Brazil have pioneered the implementation of the Fifth Generation of DE in the region. The findings of this research highlight the value of DE as a cost-effective solution to traditional education, addressing social barriers and broadening educational access in LATAM, especially during emergencies. This research poses significant implications that can equip digital technology providers, HEIs, governments, and policymakers as they navigate the ongoing educational challenges.
{"title":"From flexibility to adaptive learning: a pre-COVID-19 perspective on distance education in Latin America","authors":"Alan Miralrio, Jessica Muñoz-Villota, Claudia Camacho-Zuñiga","doi":"10.3389/fcomp.2024.1250992","DOIUrl":"https://doi.org/10.3389/fcomp.2024.1250992","url":null,"abstract":"At the time of this writing, emerging Generative Artificial Intelligence (GenAI) technologies, such as ChatGPT, Bard, and DALL-E, are shaping education. Despite their great potential for enhancing education, the discussion on the risks for the Society is an ongoing debate. Remote or distance education (DE) in developed countries has evolved in parallel to the permeation of Information and Communication Technologies (ICT). In Latin America (LATAM), a deep understanding of this interrelated evolution will encourage an efficient implementation of innovative policies, pedagogies, and technologies, including GenAI. This paper presents the historical development of DE in LATAM, drawing connections with milestones along the evolution of ICT in the region. This evolution is described across five generations: Correspondence, Audiovisual, ICTs-based, Web-based, and Interactive. Each generation offered incremental benefits to students, from flexibility and well-designed instructional materials to adaptive, interactive, and cost-effective education. This research encompassed a comprehensive search on Scopus, Web of Science, Google Scholar, ScienceDirect, Latindex, Dialnet, Redalyc, and SciELO with an historical approach. It yielded 97 peer-reviewed articles, books, and reports from recognized international organizations, published in Spanish or English and covering a period spanning from the end of the 19th century to the onset of COVID-19 lockdown. The analysis confirms the critical role of Higher Education Institutions (HEIs) in LATAM in supporting ICT integration, demonstrating a synergistic interplay with DE. Notwithstanding, the region’s social inequality and digital divide have delayed the full deployment of DE’s advantages, in comparison to USA and Europe. The paper exposes different scenarios and tech-educational requirements of DE, showcasing Mexico, Brazil, and Colombia, as well as other countries with smaller populations. Notably, by 2019, Tecnologico de Monterrey in Mexico, and Universidade de São Paulo and Universidade Federal da Paraíba in Brazil have pioneered the implementation of the Fifth Generation of DE in the region. The findings of this research highlight the value of DE as a cost-effective solution to traditional education, addressing social barriers and broadening educational access in LATAM, especially during emergencies. This research poses significant implications that can equip digital technology providers, HEIs, governments, and policymakers as they navigate the ongoing educational challenges.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140246645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-11DOI: 10.3389/fcomp.2024.1250861
Alix Ducros, A. Tabard, Peter Dalsgaard, Raphaëlle Bats, Eva Eriksson
We present a design space for displays in public libraries; more specifically public displays related to events taking place in the library. The design space is developed from the perspective of the librarians and is intended to support libraries in rethinking, developing, and employing displays to communicate and support the events they host. It is based on a study of 18 concepts co-designed in eight participatory workshops scaling participation to a total of 88 professional librarians. By analyzing the concepts through inductive and iterative analysis, we have defined a design space consisting of 12 aspects, categorized in four themes: interaction-, content-, event-, and display-centric. We argue that the design space can both serve as (1) an analytical tool for understanding and categorizing information displays and identifying overarching design considerations and (2) a generative framework to inspire design across a wide variety of libraries.
{"title":"A design space for event-centric displays in public libraries","authors":"Alix Ducros, A. Tabard, Peter Dalsgaard, Raphaëlle Bats, Eva Eriksson","doi":"10.3389/fcomp.2024.1250861","DOIUrl":"https://doi.org/10.3389/fcomp.2024.1250861","url":null,"abstract":"We present a design space for displays in public libraries; more specifically public displays related to events taking place in the library. The design space is developed from the perspective of the librarians and is intended to support libraries in rethinking, developing, and employing displays to communicate and support the events they host. It is based on a study of 18 concepts co-designed in eight participatory workshops scaling participation to a total of 88 professional librarians. By analyzing the concepts through inductive and iterative analysis, we have defined a design space consisting of 12 aspects, categorized in four themes: interaction-, content-, event-, and display-centric. We argue that the design space can both serve as (1) an analytical tool for understanding and categorizing information displays and identifying overarching design considerations and (2) a generative framework to inspire design across a wide variety of libraries.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140254584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-11DOI: 10.3389/fcomp.2024.1265342
C. Champlin, Ann Eapen, Rūta Vitkutė, Janne Groot, Claudiu Forgaci
Socio-ecological inclusion and the impacts of climate change on the built environment are two shared concerns central to the design and planning of the just transition in cities. The just transition leans heavily on inclusive convergence processes that are grounded in knowledge integration and transdisciplinary practice. However, there is a paucity of effective methods for the inclusion of so-called weak signals from actors situated at the periphery of these convergence processes. Building on the concept of structured flexibility, we introduce a building-blocks approach as a modular architecture for constructing methods for distributed engagement and knowledge integration beyond conventional small-group settings. By engaging in research through design, the Amplifying Weak Signals approach was prototyped with students in the context of dealing with heatwaves in The Hague and tested with expert users from the region who facilitate resilience strategy-making processes. Out of 900 possible building block combinations, 18 methods were created during prototyping. The resulting heatwave strategies that were drafted based on the collected peripheral knowledge showed the integration of new socio-ecological issues rather than a drastic departure from the baseline resilience strategy of the city. We discuss the research findings and their use in the production of guidelines for the construction of methods to integrate peripheral knowledge in convergence processes. Ongoing work to develop the guidelines in the form of an open-access, interactive repository of knowledge elicitation methods for urban resilience spatial planning will also be described. Recommendations for scaling the approach are provided.
{"title":"Amplifying weak signals: a method-building approach for inclusive climate resilience strategy making","authors":"C. Champlin, Ann Eapen, Rūta Vitkutė, Janne Groot, Claudiu Forgaci","doi":"10.3389/fcomp.2024.1265342","DOIUrl":"https://doi.org/10.3389/fcomp.2024.1265342","url":null,"abstract":"Socio-ecological inclusion and the impacts of climate change on the built environment are two shared concerns central to the design and planning of the just transition in cities. The just transition leans heavily on inclusive convergence processes that are grounded in knowledge integration and transdisciplinary practice. However, there is a paucity of effective methods for the inclusion of so-called weak signals from actors situated at the periphery of these convergence processes. Building on the concept of structured flexibility, we introduce a building-blocks approach as a modular architecture for constructing methods for distributed engagement and knowledge integration beyond conventional small-group settings. By engaging in research through design, the Amplifying Weak Signals approach was prototyped with students in the context of dealing with heatwaves in The Hague and tested with expert users from the region who facilitate resilience strategy-making processes. Out of 900 possible building block combinations, 18 methods were created during prototyping. The resulting heatwave strategies that were drafted based on the collected peripheral knowledge showed the integration of new socio-ecological issues rather than a drastic departure from the baseline resilience strategy of the city. We discuss the research findings and their use in the production of guidelines for the construction of methods to integrate peripheral knowledge in convergence processes. Ongoing work to develop the guidelines in the form of an open-access, interactive repository of knowledge elicitation methods for urban resilience spatial planning will also be described. Recommendations for scaling the approach are provided.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3389/fcomp.2024.1365500
U. Mahmud, Shariq Hussain
The increase in the use of smart devices has led to the realization of the Internet of Everything (IoE). The heart of an IoE environment is a Context-Aware System that facilitates service discovery, delivery, and adaptation based on context classification. The context has been defined in a domain-dependent way, traditionally. The classical models of context have been focused on rich context and lack Cost of Context (CoC) that can be used for decision support. The authors present a philosophy-inspired mathematical model of context that includes confidence in activity classification of context, the actions performed, and the power information. Since a single recurring activity can lead to distinct actions performed at different times, it is better to record the actions. The power information includes the power consumed in the complete context processing and is a quality attribute of the context. Power consumption is a useful metric as CoC and is suitable for power-constrained context awareness. To demonstrate the effectiveness of the proposed work, example contexts are described, and the context model is presented mathematically in this study. The context is aggregated with power information, and actions and confidence on the classification outcome lead to the concept of situational context. The results show that the context gathered through sensor data and deduced through remote services can be made more rich with CoC parameters.
{"title":"Augmenting context with power information for green context-awareness in smart environments","authors":"U. Mahmud, Shariq Hussain","doi":"10.3389/fcomp.2024.1365500","DOIUrl":"https://doi.org/10.3389/fcomp.2024.1365500","url":null,"abstract":"The increase in the use of smart devices has led to the realization of the Internet of Everything (IoE). The heart of an IoE environment is a Context-Aware System that facilitates service discovery, delivery, and adaptation based on context classification. The context has been defined in a domain-dependent way, traditionally. The classical models of context have been focused on rich context and lack Cost of Context (CoC) that can be used for decision support. The authors present a philosophy-inspired mathematical model of context that includes confidence in activity classification of context, the actions performed, and the power information. Since a single recurring activity can lead to distinct actions performed at different times, it is better to record the actions. The power information includes the power consumed in the complete context processing and is a quality attribute of the context. Power consumption is a useful metric as CoC and is suitable for power-constrained context awareness. To demonstrate the effectiveness of the proposed work, example contexts are described, and the context model is presented mathematically in this study. The context is aggregated with power information, and actions and confidence on the classification outcome lead to the concept of situational context. The results show that the context gathered through sensor data and deduced through remote services can be made more rich with CoC parameters.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140258512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3389/fcomp.2024.1359770
A. Abu-Issa, Hala Butmeh, Iyad Tumar
Student modeling is a fundamental aspect in customized learning environments. It enables unified representation of students' characteristics that supports creating personalized learning experiences. This paper aims to build an effective student model by combining learning preferences with skill levels. A student profile is formulated upon detecting the user's learning styles and learning preferences, as well as their knowledge level and misconceptions. The pieces of information are collected through an interactive online platform, by completing personal and knowledge assessment quizzes. Moreover, a learner can make his/her profile open for other learners as a starting point for supporting collaborative learning. The results showed an improvement of students' educational achievements who used the platform, and the satisfaction level reported by non-neutral users was averaged as a score of 90%. The evaluation of this platform showed promising results regarding its ability in describing students in a comprehensive manner.
{"title":"Modeling students' preferences and knowledge for improving educational achievements","authors":"A. Abu-Issa, Hala Butmeh, Iyad Tumar","doi":"10.3389/fcomp.2024.1359770","DOIUrl":"https://doi.org/10.3389/fcomp.2024.1359770","url":null,"abstract":"Student modeling is a fundamental aspect in customized learning environments. It enables unified representation of students' characteristics that supports creating personalized learning experiences. This paper aims to build an effective student model by combining learning preferences with skill levels. A student profile is formulated upon detecting the user's learning styles and learning preferences, as well as their knowledge level and misconceptions. The pieces of information are collected through an interactive online platform, by completing personal and knowledge assessment quizzes. Moreover, a learner can make his/her profile open for other learners as a starting point for supporting collaborative learning. The results showed an improvement of students' educational achievements who used the platform, and the satisfaction level reported by non-neutral users was averaged as a score of 90%. The evaluation of this platform showed promising results regarding its ability in describing students in a comprehensive manner.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140077489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-06DOI: 10.3389/fcomp.2024.1279810
P. Tharani Pavithra, B. Baranidharan
More than half of the world's population relies on rice as their primary food source. In India, it is a dominant cereal crop that plays a significant role in the national economy, contributing to almost 17% of the GDP and engaging 60% of the population. Still, the agricultural sector faces numerous challenges, including diseases that can cause significant losses. Convolutional neural networks (CNNs) have proven effective in identifying rice diseases based on visual characteristics. However, CNNs require millions of parameters, resulting in high computational complexity, so deploying these models on limited-resource devices can be difficult due to their computational complexity. In this research, a lightweight CNN model named Oryza Sativa Pathosis Spotter (OSPS)-MicroNet is proposed. OSPS-MicroNet is inspired by the teacher-student knowledge distillation mechanism. The experimental results demonstrate that OSPS-MicroNet achieves an accuracy of 92.02% with only 0.7% of the network size of the heavyweight model, RESNET152. This research aims to create a more streamlined and resource-efficient model to detect rice diseases while minimizing demands on computational resources.
{"title":"OSPS-MicroNet: a distilled knowledge micro-CNN network for detecting rice diseases","authors":"P. Tharani Pavithra, B. Baranidharan","doi":"10.3389/fcomp.2024.1279810","DOIUrl":"https://doi.org/10.3389/fcomp.2024.1279810","url":null,"abstract":"More than half of the world's population relies on rice as their primary food source. In India, it is a dominant cereal crop that plays a significant role in the national economy, contributing to almost 17% of the GDP and engaging 60% of the population. Still, the agricultural sector faces numerous challenges, including diseases that can cause significant losses. Convolutional neural networks (CNNs) have proven effective in identifying rice diseases based on visual characteristics. However, CNNs require millions of parameters, resulting in high computational complexity, so deploying these models on limited-resource devices can be difficult due to their computational complexity. In this research, a lightweight CNN model named Oryza Sativa Pathosis Spotter (OSPS)-MicroNet is proposed. OSPS-MicroNet is inspired by the teacher-student knowledge distillation mechanism. The experimental results demonstrate that OSPS-MicroNet achieves an accuracy of 92.02% with only 0.7% of the network size of the heavyweight model, RESNET152. This research aims to create a more streamlined and resource-efficient model to detect rice diseases while minimizing demands on computational resources.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140078296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-04DOI: 10.3389/fcomp.2024.1368860
S. Perrig, L. Aeschbach, Nicolas Scharowski, Nick von Felten, Klaus Opwis, Florian Brühlmann
User experience (UX) research relies heavily on survey scales to measure users' subjective experiences with technology. However, repeatedly raised concerns regarding the improper use of survey scales in UX research and adjacent fields call for a systematic review of current measurement practices. Therefore, we conducted a systematic literature review, screening 153 papers from four years of the ACM Conference on Human Factors in Computing Systems proceedings (ACM CHI 2019 to 2022), of which 60 were eligible empirical studies using survey scales to study users' experiences. We identified 85 different scales and 172 distinct constructs measured. Most scales were used once (70.59%), and most constructs were measured only once (66.28%). The System Usability Scale was the most popular scale, followed by the User Experience Questionnaire, and the NASA Task Load Index. Regarding constructs, usability was the most frequently measured, followed by attractiveness, effort, and presence. Furthermore, results show that papers rarely contained complete rationales for scale selection (20.00%) and seldom provided all scale items used (30.00%). More than a third of all scales were adapted (34.19%), while only one-third of papers reported any scale quality investigation (36.67%). On the basis of our results, we highlight questionable measurement practices in UX research and suggest opportunities to improve scale use for UX-related constructs. Additionally, we provide six recommended steps to promote enhanced rigor in following best practices for scale-based UX research.
用户体验（UX）研究在很大程度上依赖于调查量表来测量用户对技术的主观体验。然而，在用户体验研究及邻近领域中，调查量表的不当使用一再引起人们的关注，这就要求我们对当前的测量实践进行系统的回顾。因此，我们进行了一次系统的文献综述，筛选了 ACM 计算系统中人的因素会议（ACM CHI 2019 至 2022 年）四年论文集中的 153 篇论文，其中 60 篇是使用调查量表研究用户体验的合格实证研究。我们确定了 85 种不同的量表和 172 个不同的测量结构。大多数量表只使用过一次（70.59%），大多数结构只测量过一次（66.28%）。系统可用性量表是最常用的量表，其次是用户体验问卷和 NASA 任务负荷指数。在结构方面，可用性是最常测量的，其次是吸引力、努力程度和存在感。此外，研究结果表明，论文很少包含完整的量表选择理由（20.00%），也很少提供所有使用过的量表项目（30.00%）。超过三分之一的量表是经过改编的（34.19%），而只有三分之一的论文报告了任何量表质量调查（36.67%）。根据我们的研究结果，我们强调了用户体验研究中值得商榷的测量实践，并提出了改进用户体验相关结构的量表使用的机会。此外，我们还提供了六个建议步骤，以促进在遵循基于量表的用户体验研究最佳实践时提高严谨性。
{"title":"Measurement practices in user experience (UX) research: a systematic quantitative literature review","authors":"S. Perrig, L. Aeschbach, Nicolas Scharowski, Nick von Felten, Klaus Opwis, Florian Brühlmann","doi":"10.3389/fcomp.2024.1368860","DOIUrl":"https://doi.org/10.3389/fcomp.2024.1368860","url":null,"abstract":"User experience (UX) research relies heavily on survey scales to measure users' subjective experiences with technology. However, repeatedly raised concerns regarding the improper use of survey scales in UX research and adjacent fields call for a systematic review of current measurement practices. Therefore, we conducted a systematic literature review, screening 153 papers from four years of the ACM Conference on Human Factors in Computing Systems proceedings (ACM CHI 2019 to 2022), of which 60 were eligible empirical studies using survey scales to study users' experiences. We identified 85 different scales and 172 distinct constructs measured. Most scales were used once (70.59%), and most constructs were measured only once (66.28%). The System Usability Scale was the most popular scale, followed by the User Experience Questionnaire, and the NASA Task Load Index. Regarding constructs, usability was the most frequently measured, followed by attractiveness, effort, and presence. Furthermore, results show that papers rarely contained complete rationales for scale selection (20.00%) and seldom provided all scale items used (30.00%). More than a third of all scales were adapted (34.19%), while only one-third of papers reported any scale quality investigation (36.67%). On the basis of our results, we highlight questionable measurement practices in UX research and suggest opportunities to improve scale use for UX-related constructs. Additionally, we provide six recommended steps to promote enhanced rigor in following best practices for scale-based UX research.","PeriodicalId":52823,"journal":{"name":"Frontiers in Computer Science","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140266064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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