Daun Kim, Jae-Yeop Jeong, Sumin Hong, Namsub Kim, Jin-Woo Jeong
Video-based online educational content has been more popular nowadays. However, due to the limited communication and interaction between the learners and instructors, various problems regarding learning performance have occurred. Gaze sharing techniques received much attention as a means to address this problem, however, there still exists a lot of room for improvement. In this work-in-progress paper, we introduce some possible improvement points regarding gaze visualization strategies and report the preliminary results of our first step towards our final goal. Through a user study with 30 university students, we found the feasibility of the prototype system and the future directions of our research.
{"title":"Visualizing Instructor’s Gaze Information for Online Video-based Learning: Preliminary Study","authors":"Daun Kim, Jae-Yeop Jeong, Sumin Hong, Namsub Kim, Jin-Woo Jeong","doi":"10.1145/3517031.3529238","DOIUrl":"https://doi.org/10.1145/3517031.3529238","url":null,"abstract":"Video-based online educational content has been more popular nowadays. However, due to the limited communication and interaction between the learners and instructors, various problems regarding learning performance have occurred. Gaze sharing techniques received much attention as a means to address this problem, however, there still exists a lot of room for improvement. In this work-in-progress paper, we introduce some possible improvement points regarding gaze visualization strategies and report the preliminary results of our first step towards our final goal. Through a user study with 30 university students, we found the feasibility of the prototype system and the future directions of our research.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116660001","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}
Mind wandering (MW) is defined as a shift of attention to task-unrelated internal thoughts that is pervasive and disruptive for learning performance. Current state-of-the-art gaze-based attention-aware intelligent systems are capable of detecting MW from eye movements and delivering interventions to mitigate its negative effects. However, the beneficial functions of MW and its trait-level tendency, defined as the content of MW experience, are still largely neglected by these systems. In this pilot study, we address the questions of whether different MW trait-level tendencies can be detected through off-screen fixations’ frequency and duration and blink rate during a lecture viewing task. We focus on prospective planning and creative problem-solving as two of the main MW trait-level tendencies. Despite the non-significance, the descriptive values show a higher frequency and duration of off-screen fixations, but lower blink rate, in the creative problem-solving MW condition. Interestingly, we do find a highly significant correlation between MW level and engagement scores in the prospective planning MW group. Potential explanations for the observed results are discussed. Overall, these findings represent a preliminary step towards the development of more accurate and adaptive learning technologies, and call for further studies on MW trait-level tendency detection.
{"title":"Mind Wandering Trait-level Tendencies During Lecture Viewing: A Pilot Study","authors":"Francesca Zermiani, A. Bulling, M. Wirzberger","doi":"10.1145/3517031.3529241","DOIUrl":"https://doi.org/10.1145/3517031.3529241","url":null,"abstract":"Mind wandering (MW) is defined as a shift of attention to task-unrelated internal thoughts that is pervasive and disruptive for learning performance. Current state-of-the-art gaze-based attention-aware intelligent systems are capable of detecting MW from eye movements and delivering interventions to mitigate its negative effects. However, the beneficial functions of MW and its trait-level tendency, defined as the content of MW experience, are still largely neglected by these systems. In this pilot study, we address the questions of whether different MW trait-level tendencies can be detected through off-screen fixations’ frequency and duration and blink rate during a lecture viewing task. We focus on prospective planning and creative problem-solving as two of the main MW trait-level tendencies. Despite the non-significance, the descriptive values show a higher frequency and duration of off-screen fixations, but lower blink rate, in the creative problem-solving MW condition. Interestingly, we do find a highly significant correlation between MW level and engagement scores in the prospective planning MW group. Potential explanations for the observed results are discussed. Overall, these findings represent a preliminary step towards the development of more accurate and adaptive learning technologies, and call for further studies on MW trait-level tendency detection.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128902757","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}
Blinking is a useful biological signal that can gate gaze regression models to avoid the use of incorrect data in downstream tasks. Existing datasets are imbalanced both in frequency of class but also in intra-class difficulty which we demonstrate is a barrier for curriculum learning. We thus propose a novel curriculum augmentation scheme that aims to address frequency and difficulty imbalances implicitly which are are terming Curriculum Learning by Augmentation (CLbA). Using Curriculum Learning by Augmentation (CLbA), we achieve a state-of-the-art performance of mean Average Precision (mAP) 0.971 using ResNet-18 up from the previous state-of-the-art of mean Average Precision (mAP) of 0.757 using DenseNet-121 whilst outcompeting Curriculum Learning by Bootstrapping (CLbB) by a significant margin with improved calibration. This new training scheme thus allows the use of smaller and more performant Convolutional Neural Network (CNN) backbones fulfilling Nyquist criteria to achieve a sampling frequency of 102.3Hz. This paves the way for inference of blinking in real-time applications.
{"title":"Faster, Better Blink Detection through Curriculum Learning by Augmentation","authors":"A. Al-Hindawi, Marcela P. Vizcaychipi, Y. Demiris","doi":"10.1145/3517031.3529617","DOIUrl":"https://doi.org/10.1145/3517031.3529617","url":null,"abstract":"Blinking is a useful biological signal that can gate gaze regression models to avoid the use of incorrect data in downstream tasks. Existing datasets are imbalanced both in frequency of class but also in intra-class difficulty which we demonstrate is a barrier for curriculum learning. We thus propose a novel curriculum augmentation scheme that aims to address frequency and difficulty imbalances implicitly which are are terming Curriculum Learning by Augmentation (CLbA). Using Curriculum Learning by Augmentation (CLbA), we achieve a state-of-the-art performance of mean Average Precision (mAP) 0.971 using ResNet-18 up from the previous state-of-the-art of mean Average Precision (mAP) of 0.757 using DenseNet-121 whilst outcompeting Curriculum Learning by Bootstrapping (CLbB) by a significant margin with improved calibration. This new training scheme thus allows the use of smaller and more performant Convolutional Neural Network (CNN) backbones fulfilling Nyquist criteria to achieve a sampling frequency of 102.3Hz. This paves the way for inference of blinking in real-time applications.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117054951","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}
David Reich, Paul Prasse, Chiara Tschirner, Patrick Haller, Frank Goldhammer, L. Jäger
Eye movements in reading are known to reflect cognitive processes involved in reading comprehension at all linguistic levels, from the sub-lexical to the discourse level. This means that reading comprehension and other properties of the text and/or the reader should be possible to infer from eye movements. Consequently, we develop the first neural sequence architecture for this type of tasks which models scan paths in reading and incorporates lexical, semantic and other linguistic features of the stimulus text. Our proposed model outperforms state-of-the-art models in various tasks. These include inferring reading comprehension or text difficulty, and assessing whether the reader is a native speaker of the text’s language. We further conduct an ablation study to investigate the impact of each component of our proposed neural network on its performance.
{"title":"Inferring Native and Non-Native Human Reading Comprehension and Subjective Text Difficulty from Scanpaths in Reading","authors":"David Reich, Paul Prasse, Chiara Tschirner, Patrick Haller, Frank Goldhammer, L. Jäger","doi":"10.1145/3517031.3529639","DOIUrl":"https://doi.org/10.1145/3517031.3529639","url":null,"abstract":"Eye movements in reading are known to reflect cognitive processes involved in reading comprehension at all linguistic levels, from the sub-lexical to the discourse level. This means that reading comprehension and other properties of the text and/or the reader should be possible to infer from eye movements. Consequently, we develop the first neural sequence architecture for this type of tasks which models scan paths in reading and incorporates lexical, semantic and other linguistic features of the stimulus text. Our proposed model outperforms state-of-the-art models in various tasks. These include inferring reading comprehension or text difficulty, and assessing whether the reader is a native speaker of the text’s language. We further conduct an ablation study to investigate the impact of each component of our proposed neural network on its performance.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116979076","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}
K. Wisiecka, Krzysztof Krejtz, I. Krejtz, Damian Sromek, Adam Cellary, Beata Lewandowska, A. Duchowski
We compare the measurement error and validity of webcam-based eye tracking to that of a remote eye tracker as well as software integration of both. We ran a study with n = 83 participants, consisting of a point detection task and an emotional visual search task under three between-subjects experimental conditions (webcam-based, remote, and integrated). We analyzed location-based (e.g., fixations) and process-based eye tracking metrics (ambient-focal attention dynamics). Despite higher measurement error of webcam eye tracking, our results in all three experimental conditions were in line with theoretical expectations. For example, time to first fixation toward happy faces was significantly shorter than toward sad faces (the happiness-superiority effect). As expected, we also observed the switch from ambient to focal attention depending on complexity of the visual stimuli. We conclude that webcam-based eye tracking is a viable, low-cost alternative to remote eye tracking.
{"title":"Comparison of Webcam and Remote Eye Tracking","authors":"K. Wisiecka, Krzysztof Krejtz, I. Krejtz, Damian Sromek, Adam Cellary, Beata Lewandowska, A. Duchowski","doi":"10.1145/3517031.3529615","DOIUrl":"https://doi.org/10.1145/3517031.3529615","url":null,"abstract":"We compare the measurement error and validity of webcam-based eye tracking to that of a remote eye tracker as well as software integration of both. We ran a study with n = 83 participants, consisting of a point detection task and an emotional visual search task under three between-subjects experimental conditions (webcam-based, remote, and integrated). We analyzed location-based (e.g., fixations) and process-based eye tracking metrics (ambient-focal attention dynamics). Despite higher measurement error of webcam eye tracking, our results in all three experimental conditions were in line with theoretical expectations. For example, time to first fixation toward happy faces was significantly shorter than toward sad faces (the happiness-superiority effect). As expected, we also observed the switch from ambient to focal attention depending on complexity of the visual stimuli. We conclude that webcam-based eye tracking is a viable, low-cost alternative to remote eye tracking.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132687293","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}
The Oculomotor plant mathematical model (OPMM) is a dynamic system that describes a human eye in motion. In this study, we focus on an anatomically inspired homeomorphic model where every component is a mathematical representation of a certain biological phenomenon of a real oculomotor plant. This approach estimates internal state of oculomotor plant from recorded eye movements. In the past, the utility of such models was shown to be useful in biometrics and gaze contingent rendering via eye movement prediction. In previous studies, an implicit underlying assumption was that a set of parameters estimated for a certain subject should remain consistent in time and generalize to unseen data. We note a major drawback of the prior work, as it operated under this assumption without explicit validation. This work creates a quantifiable baseline for the specific OPMM where the generalizability of the model parameters is the foundational property of their estimation.
{"title":"A study on the generalizability of Oculomotor Plant Mathematical Model","authors":"Dmytro Katrychuk, Oleg V. Komogortsev","doi":"10.1145/3517031.3532523","DOIUrl":"https://doi.org/10.1145/3517031.3532523","url":null,"abstract":"The Oculomotor plant mathematical model (OPMM) is a dynamic system that describes a human eye in motion. In this study, we focus on an anatomically inspired homeomorphic model where every component is a mathematical representation of a certain biological phenomenon of a real oculomotor plant. This approach estimates internal state of oculomotor plant from recorded eye movements. In the past, the utility of such models was shown to be useful in biometrics and gaze contingent rendering via eye movement prediction. In previous studies, an implicit underlying assumption was that a set of parameters estimated for a certain subject should remain consistent in time and generalize to unseen data. We note a major drawback of the prior work, as it operated under this assumption without explicit validation. This work creates a quantifiable baseline for the specific OPMM where the generalizability of the model parameters is the foundational property of their estimation.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116436782","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}
Michael Burch, Günter Wallner, Veerle Fürst, Teodor-Cristian Lungu, Daan Boelhouwers, Dhiksha Rajasekaran, Richard Farla, Sander van Heesch
Eye movement data can be used for a variety of research in marketing, advertisement, and other design-related industries to gain interesting insights into customer preferences. However, interpreting such data can be a challenging task due to its spatio-temporal complexity. In this paper we describe a web-based tool that has been developed to provide various visualizations for interpreting eye movement data of static stimuli. The tool provides several techniques to visualize and analyze eye movement data. These visualizations are interactive and linked in a coordinated way to help gain more insights. Overall, this paper illustrates the features and functionality offered by the tool by using data recorded from transport map readers in a previously conducted experiment as use case. Furthermore, the paper discusses limitations of the tool and possible future developments.
{"title":"Linked and Coordinated Visual Analysis of Eye Movement Data","authors":"Michael Burch, Günter Wallner, Veerle Fürst, Teodor-Cristian Lungu, Daan Boelhouwers, Dhiksha Rajasekaran, Richard Farla, Sander van Heesch","doi":"10.1145/3517031.3531163","DOIUrl":"https://doi.org/10.1145/3517031.3531163","url":null,"abstract":"Eye movement data can be used for a variety of research in marketing, advertisement, and other design-related industries to gain interesting insights into customer preferences. However, interpreting such data can be a challenging task due to its spatio-temporal complexity. In this paper we describe a web-based tool that has been developed to provide various visualizations for interpreting eye movement data of static stimuli. The tool provides several techniques to visualize and analyze eye movement data. These visualizations are interactive and linked in a coordinated way to help gain more insights. Overall, this paper illustrates the features and functionality offered by the tool by using data recorded from transport map readers in a previously conducted experiment as use case. Furthermore, the paper discusses limitations of the tool and possible future developments.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116846308","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}
F. Paris, Remy Casanova, M. Bergeonneau, D. Mestre
Aircraft maintenance technicians (AMTs) play an essential role in life-long security of helicopters. There are two major types of operations in maintenance activity: information intake/processing and motor actions. Modeling expertise of the AMT is the main objective of this doctoral project. Given the constraints of real-world research, mobile eye-tracking appears to be an essential tool for the measurement of information intake, notably concerning the use of maintenance documentation during the maintenance task preparation and execution. . This extended abstract will present the main research objectives, our approach and methodology and some preliminary results.
{"title":"Characterizing the expertise of Aircraft Maintenance Technicians using eye-tracking.","authors":"F. Paris, Remy Casanova, M. Bergeonneau, D. Mestre","doi":"10.1145/3517031.3532199","DOIUrl":"https://doi.org/10.1145/3517031.3532199","url":null,"abstract":"Aircraft maintenance technicians (AMTs) play an essential role in life-long security of helicopters. There are two major types of operations in maintenance activity: information intake/processing and motor actions. Modeling expertise of the AMT is the main objective of this doctoral project. Given the constraints of real-world research, mobile eye-tracking appears to be an essential tool for the measurement of information intake, notably concerning the use of maintenance documentation during the maintenance task preparation and execution. . This extended abstract will present the main research objectives, our approach and methodology and some preliminary results.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122351282","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}
In online lectures, showing an on-screen instructor gained popularity amidst the Covid-19 pandemic. However, evidence in favor of this is mixed: they draw attention and may distract from the content. In contrast, using signaling (e.g., with a digital pointer) provides known benefits for learners. But effects of signaling were only researched in absence of an on-screen instructor. In the present explorative study, we investigated effects of an on-screen instructor on the division of learners´ attention; specifically, on following a digital pointer signal with their gaze. The presence of an instructor led to an increased number of fixations in the presenter area. This did neither affect learning outcomes nor gaze patterns following the pointer. The average distance between the learner's gaze and the pointer position predicts the student's quiz performance, independent of the presence of an on-screen instructor. This can also help in creating automated immediate-feedback systems for educational videos.
{"title":"Distance between gaze and laser pointer predicts performance in video-based e-learning independent of the presence of an on-screen instructor","authors":"Marian Sauter, Tobias Wagner, A. Huckauf","doi":"10.1145/3517031.3529620","DOIUrl":"https://doi.org/10.1145/3517031.3529620","url":null,"abstract":"In online lectures, showing an on-screen instructor gained popularity amidst the Covid-19 pandemic. However, evidence in favor of this is mixed: they draw attention and may distract from the content. In contrast, using signaling (e.g., with a digital pointer) provides known benefits for learners. But effects of signaling were only researched in absence of an on-screen instructor. In the present explorative study, we investigated effects of an on-screen instructor on the division of learners´ attention; specifically, on following a digital pointer signal with their gaze. The presence of an instructor led to an increased number of fixations in the presenter area. This did neither affect learning outcomes nor gaze patterns following the pointer. The average distance between the learner's gaze and the pointer position predicts the student's quiz performance, independent of the presence of an on-screen instructor. This can also help in creating automated immediate-feedback systems for educational videos.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128211540","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}
∗ The short paper describes the summary of previous studies from the area of education where a developed tool for scanpath comparison called ScanGraph has been used so far. This paper aims to introduce this freely available online tool to the community of eye movement researchers focusing on eye-tracking in education. ScanGraph allows calculation of similarity using Levenshtein and Damerau-Levenshtein algorithms and the Needleman-Wunsch algorithm (similar to ScanMatch). The results are visualized in a simple graph showing similarities among individual participants. The tool allows exporting similarity matrix, which might be further used for more detailed analysis. Moreover, it is possible to visualize similarity data calculated using the MultiMatch method. In the article, the tool’s functionality is described and introduced on the examples of case studies from the field of geographic education and physics.
{"title":"Scanpath Comparison using ScanGraph for Education and Learning Purposes: Summary of previous educational studies performed with the use of ScanGraph","authors":"S. Popelka, Marketa Beitlova","doi":"10.1145/3517031.3529243","DOIUrl":"https://doi.org/10.1145/3517031.3529243","url":null,"abstract":"∗ The short paper describes the summary of previous studies from the area of education where a developed tool for scanpath comparison called ScanGraph has been used so far. This paper aims to introduce this freely available online tool to the community of eye movement researchers focusing on eye-tracking in education. ScanGraph allows calculation of similarity using Levenshtein and Damerau-Levenshtein algorithms and the Needleman-Wunsch algorithm (similar to ScanMatch). The results are visualized in a simple graph showing similarities among individual participants. The tool allows exporting similarity matrix, which might be further used for more detailed analysis. Moreover, it is possible to visualize similarity data calculated using the MultiMatch method. In the article, the tool’s functionality is described and introduced on the examples of case studies from the field of geographic education and physics.","PeriodicalId":339393,"journal":{"name":"2022 Symposium on Eye Tracking Research and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114268302","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：