This paper focuses on the larger question of when to administer in-car just-in-time stress management interventions. We look at the influence of driving-related stress to find the right time to provide personalized and contextually-aware interventions. We address this challenge with a data driven approach that takes into consideration driving-induced stress, driver (cognitive) availability, and indicators of risky driving behavior such as lane departures and high steering reversal rates. We ran a study with sixteen commuters during morning and evening traffic while applying an in-situ experience sampling. During 45 minutes of driving through various scenarios including city, highway, and neighborhood roads we captured physiological measurements, video of participants and surroundings, and CAN bus driving data. Initial review of the data shows that stress levels changed greatly between 2 and 9 (out of a 0-min to 10-max scale). We conclude with a discussion on how to prepare the data to train supervised algorithms to find the right time to intervene stress while driving.
{"title":"On-road Stress Analysis for In-car Interventions During the Commute","authors":"Stephanie Balters, Madeline Bernstein, P. Paredes","doi":"10.1145/3290607.3312824","DOIUrl":"https://doi.org/10.1145/3290607.3312824","url":null,"abstract":"This paper focuses on the larger question of when to administer in-car just-in-time stress management interventions. We look at the influence of driving-related stress to find the right time to provide personalized and contextually-aware interventions. We address this challenge with a data driven approach that takes into consideration driving-induced stress, driver (cognitive) availability, and indicators of risky driving behavior such as lane departures and high steering reversal rates. We ran a study with sixteen commuters during morning and evening traffic while applying an in-situ experience sampling. During 45 minutes of driving through various scenarios including city, highway, and neighborhood roads we captured physiological measurements, video of participants and surroundings, and CAN bus driving data. Initial review of the data shows that stress levels changed greatly between 2 and 9 (out of a 0-min to 10-max scale). We conclude with a discussion on how to prepare the data to train supervised algorithms to find the right time to intervene stress while driving.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134532619","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}
Alexandra Kitson, Elizabeth A. Buie, Ekaterina R. Stepanova, A. Chirico, B. Riecke, A. Gaggioli
Some life experiences can generate profound and long-lasting shifts in core beliefs and attitudes, including subjective transformation. These experiences can change what individuals know and value, their perspective on the world and life, evolving them as a grown person. For these characteristics, transformative experiences are gaining increasing attention in psychology, neuroscience, and philosophy. One potentially interesting question related to transformative experiences concerns how they can be invited by means of interactive technologies. This question lies at the center of a new research program, transformative experience design, which has two aims: (1) to investigate phenomenological and neurocognitive aspects of transformative experiences, as well as their implications for individual growth and psychological well-being; and (2) to translate such knowledge into tentative design principles for developing experiences that aim to support meaning in life and personal growth. Our goal for this SIG is to discuss challenges and opportunities for transformative experiences in the context of interactive technologies.
{"title":"Transformative Experience Design: Designing with Interactive Technologies to Support Transformative Experiences","authors":"Alexandra Kitson, Elizabeth A. Buie, Ekaterina R. Stepanova, A. Chirico, B. Riecke, A. Gaggioli","doi":"10.1145/3290607.3311762","DOIUrl":"https://doi.org/10.1145/3290607.3311762","url":null,"abstract":"Some life experiences can generate profound and long-lasting shifts in core beliefs and attitudes, including subjective transformation. These experiences can change what individuals know and value, their perspective on the world and life, evolving them as a grown person. For these characteristics, transformative experiences are gaining increasing attention in psychology, neuroscience, and philosophy. One potentially interesting question related to transformative experiences concerns how they can be invited by means of interactive technologies. This question lies at the center of a new research program, transformative experience design, which has two aims: (1) to investigate phenomenological and neurocognitive aspects of transformative experiences, as well as their implications for individual growth and psychological well-being; and (2) to translate such knowledge into tentative design principles for developing experiences that aim to support meaning in life and personal growth. Our goal for this SIG is to discuss challenges and opportunities for transformative experiences in the context of interactive technologies.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134561876","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}
Shadan Sadeghian Borojeni, Alexander Meschtscherjakov, Bastian Pfleging, Wendy Ju, F. Flemisch, C. Janssen, A. Kun, A. Riener
Automated driving is one of the most discussed disruptive technologies of this decade. It promises to increase drivers' safety and comfort, improve traffic flow, and lower fuel consumption. This has a significant impact on our everyday life and mobility behavior. Beyond the passengers of the vehicle, it also impacts others, for example by lowering the barriers to visit distant relatives. In line with the CHI2019 conference theme, our aim is to weave the threads of vehicle automation by gathering people from different disciplines, cultures, sectors, communities, and backgrounds (designers, researchers, and practitioners) in one community to look into concrete future scenarios of driving automation and its impact on HCI research and practice. Using design fiction, we will look into the future and use this fiction to guide discussions on how automated driving can be made a technology that works for people and society.
{"title":"Looking into the Future: Weaving the Threads of Vehicle Automation","authors":"Shadan Sadeghian Borojeni, Alexander Meschtscherjakov, Bastian Pfleging, Wendy Ju, F. Flemisch, C. Janssen, A. Kun, A. Riener","doi":"10.1145/3290607.3299031","DOIUrl":"https://doi.org/10.1145/3290607.3299031","url":null,"abstract":"Automated driving is one of the most discussed disruptive technologies of this decade. It promises to increase drivers' safety and comfort, improve traffic flow, and lower fuel consumption. This has a significant impact on our everyday life and mobility behavior. Beyond the passengers of the vehicle, it also impacts others, for example by lowering the barriers to visit distant relatives. In line with the CHI2019 conference theme, our aim is to weave the threads of vehicle automation by gathering people from different disciplines, cultures, sectors, communities, and backgrounds (designers, researchers, and practitioners) in one community to look into concrete future scenarios of driving automation and its impact on HCI research and practice. Using design fiction, we will look into the future and use this fiction to guide discussions on how automated driving can be made a technology that works for people and society.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131831509","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}
Economics provides an intuitive and natural way to formally represent the cost and benefits of interacting with applications, interfaces and devices. By using economics models it is possible to reason about interaction and make predictions about how changes to the system will affect performance and behavior. In this course, we provided an overview of relevant economic concepts and then showed how economics can be used to model human computer interaction to generated hypotheses about interaction which can be used to inform design and guide experimentation. As a case study, we demonstrate how various interactions with search and recommender applications can be modeled, before concluding the day with a hands-on modeling session using example and participant problems.
{"title":"Building Economic Models of Human Computer Interaction","authors":"L. Azzopardi, G. Zuccon","doi":"10.1145/3290607.3298809","DOIUrl":"https://doi.org/10.1145/3290607.3298809","url":null,"abstract":"Economics provides an intuitive and natural way to formally represent the cost and benefits of interacting with applications, interfaces and devices. By using economics models it is possible to reason about interaction and make predictions about how changes to the system will affect performance and behavior. In this course, we provided an overview of relevant economic concepts and then showed how economics can be used to model human computer interaction to generated hypotheses about interaction which can be used to inform design and guide experimentation. As a case study, we demonstrate how various interactions with search and recommender applications can be modeled, before concluding the day with a hands-on modeling session using example and participant problems.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117315230","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. Walker, Debargha Dey, Brady Michael Kuhl, Bastian Pfleging, Berry Eggen, J. Terken
Can interactions between automated vehicles and pedestrians be evaluated in a quantifiable and standardized way? In order to answer this, we designed an input device in the form of a continuous slider that enables pedestrians to indicate their willingness to cross a road and their feeling of safety in real time in response to an approaching vehicle. In an initial field study, 71% of the participants reported that they were able to use the device naturally and indicate their feeling of safety satisfactorily. The feeling-of-safety slider can consequently be used to evaluate and benchmark interactions between pedestrians and vehicles, and compare communication interfaces for automated vehicles.
{"title":"Feeling-of-Safety Slider: Measuring Pedestrian Willingness to Cross Roads in Field Interactions with Vehicles","authors":"F. Walker, Debargha Dey, Brady Michael Kuhl, Bastian Pfleging, Berry Eggen, J. Terken","doi":"10.1145/3290607.3312880","DOIUrl":"https://doi.org/10.1145/3290607.3312880","url":null,"abstract":"Can interactions between automated vehicles and pedestrians be evaluated in a quantifiable and standardized way? In order to answer this, we designed an input device in the form of a continuous slider that enables pedestrians to indicate their willingness to cross a road and their feeling of safety in real time in response to an approaching vehicle. In an initial field study, 71% of the participants reported that they were able to use the device naturally and indicate their feeling of safety satisfactorily. The feeling-of-safety slider can consequently be used to evaluate and benchmark interactions between pedestrians and vehicles, and compare communication interfaces for automated vehicles.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131080807","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}
Anke Brocker, Simon Voelker, Z. Zhang, Mathis Müller, Jan O. Borchers
With Maker-friendly environments like the Arduino IDE, embedded programming has become an important part of STEM education. But learning embedded programming is still hard, requiring both coding and basic electronics skills. To understand if a different programming paradigm can help, we developed Flowboard, which uses Flow-Based Programming (FBP) rather than the usual imperative programming paradigm. Instead of command sequences, learners assemble processing nodes into a graph through which signals and data flow. Flowboard consists of a visual flow-based editor on an iPad, a hardware frame integrating the iPad, an Arduino board and two breadboards next to the iPad, letting learners connect their visual graphs seamlessly to the input and output electronics. Graph edits take effect immediately, making Flowboard a live coding environment.
{"title":"Flowboard: A Visual Flow-Based Programming Environment for Embedded Coding","authors":"Anke Brocker, Simon Voelker, Z. Zhang, Mathis Müller, Jan O. Borchers","doi":"10.1145/3290607.3313247","DOIUrl":"https://doi.org/10.1145/3290607.3313247","url":null,"abstract":"With Maker-friendly environments like the Arduino IDE, embedded programming has become an important part of STEM education. But learning embedded programming is still hard, requiring both coding and basic electronics skills. To understand if a different programming paradigm can help, we developed Flowboard, which uses Flow-Based Programming (FBP) rather than the usual imperative programming paradigm. Instead of command sequences, learners assemble processing nodes into a graph through which signals and data flow. Flowboard consists of a visual flow-based editor on an iPad, a hardware frame integrating the iPad, an Arduino board and two breadboards next to the iPad, letting learners connect their visual graphs seamlessly to the input and output electronics. Graph edits take effect immediately, making Flowboard a live coding environment.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131141111","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}
Inbodied design is an emerging area in HCI that focuses on using knowledge of the body's internal systems and processes to better inform em-bodied and circum-bodied design spaces. The current challenge in developing an inbodied approach to HCI research/design is domain expertise: accessing sufficient and appropriate information about how the body itself works and how the body's different systems interact dynamically. In this workshop, we review and build on last year's introduction to inbodied foundations, focusing on applying inbodied knowledge to design challenges to explore (1) the foundational pillars of the inbodied design approach, and (2) how inbodied knowledge can affect / alter our understanding of em-bodied and circum-bodied design challenges and better inform design decisions. Our aim with this hands-on and cross-domain workshop is for HCI researchers to create innovative designs taking the body as a starting point
{"title":"The Body as Starting Point: Applying Inside Body Knowledge for Inbodied Design","authors":"Josh Andrés, M. Schraefel, Aaron Tabor, E. Hekler","doi":"10.1145/3290607.3299023","DOIUrl":"https://doi.org/10.1145/3290607.3299023","url":null,"abstract":"Inbodied design is an emerging area in HCI that focuses on using knowledge of the body's internal systems and processes to better inform em-bodied and circum-bodied design spaces. The current challenge in developing an inbodied approach to HCI research/design is domain expertise: accessing sufficient and appropriate information about how the body itself works and how the body's different systems interact dynamically. In this workshop, we review and build on last year's introduction to inbodied foundations, focusing on applying inbodied knowledge to design challenges to explore (1) the foundational pillars of the inbodied design approach, and (2) how inbodied knowledge can affect / alter our understanding of em-bodied and circum-bodied design challenges and better inform design decisions. Our aim with this hands-on and cross-domain workshop is for HCI researchers to create innovative designs taking the body as a starting point","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130750828","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}
Artificial Intelligence (AI) assistants have been a hot topic for a few years. Popular solutions - such as Google Assistant, Microsoft's Cortana, Apple's Siri, and Amazon Alexa - are becoming resourceful AI-assistants for general users. Apart from some mishaps, those assistants have a successful history in supporting people's everyday tasks. The same cannot be said in industry-specific scenarios, in which AI-assistants are still a bet. Companies combining AI with human expertise and experience can be stand out in their industry. This is particularly important for industries that rely their strategic decision-making processes on knowledge workers actions. More than another system, AI-assistants are new players in the human-computer interaction. But how and when should an AI-assistant interfere in a knowledge worker task? In this paper, we present findings from a case study using the Wizard of Oz approach in an oil and gas company. Our findings begin to answer that question for what kind of interference knowledge workers in that domain would accept from an AI-assistant.
{"title":"Should I Interfere' AI-Assistants' Interaction with Knowledge Workers: A Case Study in the Oil and Gas Industry","authors":"J. Ferreira, Ana Fucs, V. Segura","doi":"10.1145/3290607.3299052","DOIUrl":"https://doi.org/10.1145/3290607.3299052","url":null,"abstract":"Artificial Intelligence (AI) assistants have been a hot topic for a few years. Popular solutions - such as Google Assistant, Microsoft's Cortana, Apple's Siri, and Amazon Alexa - are becoming resourceful AI-assistants for general users. Apart from some mishaps, those assistants have a successful history in supporting people's everyday tasks. The same cannot be said in industry-specific scenarios, in which AI-assistants are still a bet. Companies combining AI with human expertise and experience can be stand out in their industry. This is particularly important for industries that rely their strategic decision-making processes on knowledge workers actions. More than another system, AI-assistants are new players in the human-computer interaction. But how and when should an AI-assistant interfere in a knowledge worker task? In this paper, we present findings from a case study using the Wizard of Oz approach in an oil and gas company. Our findings begin to answer that question for what kind of interference knowledge workers in that domain would accept from an AI-assistant.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130926070","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}
Thomas Kundinger, Philipp Wintersberger, A. Riener
Both overtrust in technology and drowsy driving are safety-critical issues. Monitoring a system is a tedious task and overtrust in technology might also influence drivers' vigilance, what in turn could multiply the negative impact of both issues. The aim of this study was to investigate if trust in automation affects drowsiness. 30 participants in two age groups conducted a 45-minute ride in a level-2 vehicle on a real test track. Trust was assessed before and after the ride with a subjective trust scale. Drowsiness was captured during the experiment using the Karolinska Sleepiness Scale. Results depict, that even a short initial system exposure significantly increases trust in automated driving. Drivers who trust the automated vehicles more show larger signs of drowsiness what may negatively impact the monitoring behavior. Drowsiness detection is important for automated vehicles, and the behavior of drowsy drivers might help to infer trust in an unobtrusively way.
{"title":"(Over)Trust in Automated Driving: The Sleeping Pill of Tomorrow?","authors":"Thomas Kundinger, Philipp Wintersberger, A. Riener","doi":"10.1145/3290607.3312869","DOIUrl":"https://doi.org/10.1145/3290607.3312869","url":null,"abstract":"Both overtrust in technology and drowsy driving are safety-critical issues. Monitoring a system is a tedious task and overtrust in technology might also influence drivers' vigilance, what in turn could multiply the negative impact of both issues. The aim of this study was to investigate if trust in automation affects drowsiness. 30 participants in two age groups conducted a 45-minute ride in a level-2 vehicle on a real test track. Trust was assessed before and after the ride with a subjective trust scale. Drowsiness was captured during the experiment using the Karolinska Sleepiness Scale. Results depict, that even a short initial system exposure significantly increases trust in automated driving. Drivers who trust the automated vehicles more show larger signs of drowsiness what may negatively impact the monitoring behavior. Drowsiness detection is important for automated vehicles, and the behavior of drowsy drivers might help to infer trust in an unobtrusively way.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131202917","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}
Family connections are maintained through sharing reminiscences, often supported by family photographs which easily prompt memories. This is increasingly important as we age, as picture-based reminiscence has been shown to reduce older adults' social isolation. However, there is a gap between sharing memories from physical pictures and the limited support for oral social reminiscence afforded by digital tools. PhotoFlow supports older adults' picture-mediated social storytelling of family memories using an intuitive metaphor mirroring sharing physical family pictures on a table top. The app uses the speech of oral storytelling to automatically organize pictures based only on what has been said. This simplifies the overall process of family picture interactions by leveraging one enjoyable aspect to ease a more effortful one. In particular, the familiar table top interaction metaphor has the potential to bridge the gap between physical picture reminiscence and managing digital picture collections.
{"title":"PhotoFlow in Action: Picture-Mediated Reminiscence Supporting Family Socio-Connectivity","authors":"Benett Axtell, Cosmin Munteanu","doi":"10.1145/3290607.3313272","DOIUrl":"https://doi.org/10.1145/3290607.3313272","url":null,"abstract":"Family connections are maintained through sharing reminiscences, often supported by family photographs which easily prompt memories. This is increasingly important as we age, as picture-based reminiscence has been shown to reduce older adults' social isolation. However, there is a gap between sharing memories from physical pictures and the limited support for oral social reminiscence afforded by digital tools. PhotoFlow supports older adults' picture-mediated social storytelling of family memories using an intuitive metaphor mirroring sharing physical family pictures on a table top. The app uses the speech of oral storytelling to automatically organize pictures based only on what has been said. This simplifies the overall process of family picture interactions by leveraging one enjoyable aspect to ease a more effortful one. In particular, the familiar table top interaction metaphor has the potential to bridge the gap between physical picture reminiscence and managing digital picture collections.","PeriodicalId":389485,"journal":{"name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132847478","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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