This thesis addresses the suitability of body interaction techniques, when used by persons with different levels of visual impairment, to improve the accessibility of mobile devices. The research will focus on: understanding how on-body interaction can surpass the current accessibility levels of mobile devices, characterizing the different complexities of skin mapping for different levels of visual impairment, perceiving for what types of input tasks it is best suited, and studying how it can complement other input modalities. Results will include an on-body interaction model, and several prototypes and studies characterizing body interaction.
{"title":"On-Body Interaction for Optimized Accessibility","authors":"David Costa","doi":"10.1145/2732158.2732164","DOIUrl":"https://doi.org/10.1145/2732158.2732164","url":null,"abstract":"This thesis addresses the suitability of body interaction techniques, when used by persons with different levels of visual impairment, to improve the accessibility of mobile devices. The research will focus on: understanding how on-body interaction can surpass the current accessibility levels of mobile devices, characterizing the different complexities of skin mapping for different levels of visual impairment, perceiving for what types of input tasks it is best suited, and studying how it can complement other input modalities. Results will include an on-body interaction model, and several prototypes and studies characterizing body interaction.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116398653","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 past few years have seen the availability of consumer electroencephalography (EEG) devices increase significantly. These devices, usually with a compact form factor and affordable price, now allow researchers and enthusiasts to use EEG in various new contexts and environments. However, the many consumer headsets often require extensive programming experience to interface with their respective drivers; moreover, standardization of the access and recording of EEG data across the devices still remains to be done. Consequently, a tool is needed to facilitate the recording and streaming of EEG data from consumer headsets that can easily be interfaced with different programming languages and software, and that allows interchangeability between devices. This paper describes the open source MuSAE Lab EEG Server (MuLES), an EEG acquisition and streaming server that aims at creating a standard interface for portable EEG headsets, in order to accelerate the development of brain-computer interfaces (BCIs) and of general EEG use in novel contexts. In addition to the EEG server interface which currently supports five different consumer devices and session playback, clients are developed for use on different platforms and in various programming languages, making prototyping and recording a quick and simple task. To validate the functionality and usability of the EEG server, a use case highlighting its main features is presented. The developed tool simplifies the acquisition and recording of EEG data from portable consumer devices by providing a single efficient interface, with applications in areas such as basic and behavioural research, prototyping, neurogaming, live performance and arts.
在过去的几年中，消费者脑电图(EEG)设备的可用性显著增加。这些设备通常具有紧凑的外形和实惠的价格，现在允许研究人员和爱好者在各种新的环境和环境中使用EEG。然而，许多消费者头戴式耳机通常需要丰富的编程经验来与各自的驱动程序接口;此外，跨设备的EEG数据访问和记录的标准化仍有待完成。因此，需要一种工具来促进来自消费者耳机的脑电图数据的记录和流，这种工具可以很容易地与不同的编程语言和软件接口，并且允许设备之间的互换性。本文介绍了开源的MuSAE Lab EEG Server (MuLES)，这是一个EEG采集和流服务器，旨在为便携式EEG耳机创建一个标准接口，以加速脑机接口(bci)的发展和在新环境下的一般EEG使用。除了目前支持五种不同消费设备和会话回放的EEG服务器接口外，还开发了用于不同平台和各种编程语言的客户端，使原型设计和记录成为一项快速而简单的任务。为了验证EEG服务器的功能和可用性，给出了一个突出其主要功能的用例。开发的工具通过提供单一高效的接口，简化了便携式消费设备的EEG数据的采集和记录，可用于基础和行为研究，原型设计，神经游戏，现场表演和艺术等领域。
{"title":"MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording","authors":"Raymundo Cassani, Hubert J. Banville, T. Falk","doi":"10.1145/2732158.2732193","DOIUrl":"https://doi.org/10.1145/2732158.2732193","url":null,"abstract":"The past few years have seen the availability of consumer electroencephalography (EEG) devices increase significantly. These devices, usually with a compact form factor and affordable price, now allow researchers and enthusiasts to use EEG in various new contexts and environments. However, the many consumer headsets often require extensive programming experience to interface with their respective drivers; moreover, standardization of the access and recording of EEG data across the devices still remains to be done. Consequently, a tool is needed to facilitate the recording and streaming of EEG data from consumer headsets that can easily be interfaced with different programming languages and software, and that allows interchangeability between devices. This paper describes the open source MuSAE Lab EEG Server (MuLES), an EEG acquisition and streaming server that aims at creating a standard interface for portable EEG headsets, in order to accelerate the development of brain-computer interfaces (BCIs) and of general EEG use in novel contexts. In addition to the EEG server interface which currently supports five different consumer devices and session playback, clients are developed for use on different platforms and in various programming languages, making prototyping and recording a quick and simple task. To validate the functionality and usability of the EEG server, a use case highlighting its main features is presented. The developed tool simplifies the acquisition and recording of EEG data from portable consumer devices by providing a single efficient interface, with applications in areas such as basic and behavioural research, prototyping, neurogaming, live performance and arts.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116485345","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}
Wide-angle multi-view video, which provides viewers with a realistic experience, has received increasing attention in recent years. Users want to watch such videos interactively, switching viewpoints freely, but without the burdens of consecutive viewpoint selection or complex operation. Viewing systems should therefore satisfy these conflicting needs simultaneously. In this paper, we take the novel approach of confronting multi-view videos as a cooperative work. We also introduce a human-machine cooperative viewing system for wide-angle multi-view videos exploiting target-centered viewing. Our system consists of a manual viewpoint selection function and an automatic viewpoint selection function based on our concept.
{"title":"Human-Machine Cooperative Viewing System for Wide-angle Multi-view Videos","authors":"Fumiharu Tomiyasu, K. Mase","doi":"10.1145/2732158.2732171","DOIUrl":"https://doi.org/10.1145/2732158.2732171","url":null,"abstract":"Wide-angle multi-view video, which provides viewers with a realistic experience, has received increasing attention in recent years. Users want to watch such videos interactively, switching viewpoints freely, but without the burdens of consecutive viewpoint selection or complex operation. Viewing systems should therefore satisfy these conflicting needs simultaneously. In this paper, we take the novel approach of confronting multi-view videos as a cooperative work. We also introduce a human-machine cooperative viewing system for wide-angle multi-view videos exploiting target-centered viewing. Our system consists of a manual viewpoint selection function and an automatic viewpoint selection function based on our concept.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134504049","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}
We present results from a survey of adults, 63 and older, about the potential implementation of a recommender system within a digital library of health-related content. We studied how these older adults perceive the idea of a recommender system and different aspects of its design. We presented four different types of recommender systems in the survey and our results indicate that this group would prefer a system based on explicit feedback in the form of ratings that measure the helpfulness of content. Reinforcing previous research, we learned this group is interested in a system that explains why it recommended content and they do not want to spend much time creating a profile of interests to warm the system. We discuss where we would use this recommender system, how we designed the survey for our audience, and plans for future studies on this subject.
{"title":"Surveying Older Adults About a Recommender System for a Digital Library","authors":"Adam Maus, A. Atwood","doi":"10.1145/2732158.2732185","DOIUrl":"https://doi.org/10.1145/2732158.2732185","url":null,"abstract":"We present results from a survey of adults, 63 and older, about the potential implementation of a recommender system within a digital library of health-related content. We studied how these older adults perceive the idea of a recommender system and different aspects of its design. We presented four different types of recommender systems in the survey and our results indicate that this group would prefer a system based on explicit feedback in the form of ratings that measure the helpfulness of content. Reinforcing previous research, we learned this group is interested in a system that explains why it recommended content and they do not want to spend much time creating a profile of interests to warm the system. We discuss where we would use this recommender system, how we designed the survey for our audience, and plans for future studies on this subject.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125044339","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}
L. Birnbaum, Miriam L. Boon, Scott Bradley, Jennifer Wilson
We describe intelligent information technologies designed to automatically provide both journalists and ordinary newsreaders with a broad range of the contextual information they need in order to better understand news stories, presented in an immediate and compelling fashion. These systems automatically identify, select, and present appropriate contextual information based on the story a user is currently viewing. Our experiences in building a number of specific systems of this kind have led to the creation of a general architecture and platform for developing such applications. These systems interact with news consumers directly through mechanisms such as browser extensions.
{"title":"The News Context Project","authors":"L. Birnbaum, Miriam L. Boon, Scott Bradley, Jennifer Wilson","doi":"10.1145/2732158.2732178","DOIUrl":"https://doi.org/10.1145/2732158.2732178","url":null,"abstract":"We describe intelligent information technologies designed to automatically provide both journalists and ordinary newsreaders with a broad range of the contextual information they need in order to better understand news stories, presented in an immediate and compelling fashion. These systems automatically identify, select, and present appropriate contextual information based on the story a user is currently viewing. Our experiences in building a number of specific systems of this kind have led to the creation of a general architecture and platform for developing such applications. These systems interact with news consumers directly through mechanisms such as browser extensions.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132659737","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}
Picture schematization has shown to be a very important step for a wide range of applications and remains challenging as an active research area. Many automation methods have been proposed to solve this problem but yet far from expectation. Since crowdsourcing has been successfully applied to fill the gap that AI can not reach yet, we are interested to explore how crowdsourcing can be utilized into this area. This paper briefly summarizes our recent efforts towards building a feasible crowd-based system to schematise pictures in a reliable and cost-effective way.
{"title":"Towards a Crowd-based Picture Schematization System","authors":"Huaming Rao","doi":"10.1145/2732158.2732159","DOIUrl":"https://doi.org/10.1145/2732158.2732159","url":null,"abstract":"Picture schematization has shown to be a very important step for a wide range of applications and remains challenging as an active research area. Many automation methods have been proposed to solve this problem but yet far from expectation. Since crowdsourcing has been successfully applied to fill the gap that AI can not reach yet, we are interested to explore how crowdsourcing can be utilized into this area. This paper briefly summarizes our recent efforts towards building a feasible crowd-based system to schematise pictures in a reliable and cost-effective way.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"97 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113940352","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}
E. Raybourn, Nathan Fabian, Warren Davis, R. C. Parks, J. T. McClain, D. Trumbo, Damon Regan, P. Durlach
A hypothetical scenario is utilized to explore privacy and security considerations for intelligent systems, such as a Personal Assistant for Learning (PAL). Two categories of potential concerns are addressed: factors facilitated by user models, and factors facilitated by systems. Among the strategies presented for risk mitigation is a call for ongoing, iterative dialog among privacy, security, and personalization researchers during all stages of development, testing, and deployment.
我们使用一个假设的场景来探索智能系统(如Personal Assistant for Learning (PAL))的隐私和安全考虑。处理了两类潜在的关注点:由用户模型促进的因素和由系统促进的因素。在提出的降低风险的策略中，有一项是呼吁在开发、测试和部署的所有阶段，在隐私、安全和个性化研究人员之间进行持续、迭代的对话。
{"title":"Data Privacy and Security Considerations for Personal Assistants for Learning (PAL)","authors":"E. Raybourn, Nathan Fabian, Warren Davis, R. C. Parks, J. T. McClain, D. Trumbo, Damon Regan, P. Durlach","doi":"10.1145/2732158.2732195","DOIUrl":"https://doi.org/10.1145/2732158.2732195","url":null,"abstract":"A hypothetical scenario is utilized to explore privacy and security considerations for intelligent systems, such as a Personal Assistant for Learning (PAL). Two categories of potential concerns are addressed: factors facilitated by user models, and factors facilitated by systems. Among the strategies presented for risk mitigation is a call for ongoing, iterative dialog among privacy, security, and personalization researchers during all stages of development, testing, and deployment.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131810838","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}
Natural Language Processing (NLP) systems are typically developed by informaticists skilled in machine learning techniques that are unfamiliar to end-users. Although NLP has been widely used in extracting information from clinical text, current systems generally do not provide any provisions for incorporating feedback and revising models based on input from domain experts. The goal of this research is to close this gap by building highly-usable tools suitable for the analysis of free text reports.
{"title":"Clinical Text Analysis Using Interactive Natural Language Processing","authors":"Gaurav Trivedi","doi":"10.1145/2732158.2732162","DOIUrl":"https://doi.org/10.1145/2732158.2732162","url":null,"abstract":"Natural Language Processing (NLP) systems are typically developed by informaticists skilled in machine learning techniques that are unfamiliar to end-users. Although NLP has been widely used in extracting information from clinical text, current systems generally do not provide any provisions for incorporating feedback and revising models based on input from domain experts. The goal of this research is to close this gap by building highly-usable tools suitable for the analysis of free text reports.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839240","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}
D. Long, Nick Dillon, Kun Wang, Jason Carter, P. Dewan
Recently, there has been research on inferring user emotions. Like other inference research, it requires an iterative process in which what-if scenarios are played with different features and algorithms. Traditional, general-purpose data mining tools such as Weka have played an important part in promoting this process. We have augmented this toolset with an additional interactive test-bed designed for prediction and communication of programmer difficulties from user-interface commands. It provides end-user interfaces for communicating, correcting, and reacting to the predictions. In addition, it offers researchers user-interfaces for interacting with the prediction process as it is executed rather than, as in traditional mining tools, after it has generated data for a set of experimental subjects. These user-interfaces can be used to determine key elements of the prediction process, why certain wrong or right predictions have been made, and change parameters of the process. A video demonstration this work is available at http://youtu.be/09LpDIPG5h8.
{"title":"Interactive Control and Visualization of Difficulty Inferences from User-Interface Commands","authors":"D. Long, Nick Dillon, Kun Wang, Jason Carter, P. Dewan","doi":"10.1145/2732158.2732177","DOIUrl":"https://doi.org/10.1145/2732158.2732177","url":null,"abstract":"Recently, there has been research on inferring user emotions. Like other inference research, it requires an iterative process in which what-if scenarios are played with different features and algorithms. Traditional, general-purpose data mining tools such as Weka have played an important part in promoting this process. We have augmented this toolset with an additional interactive test-bed designed for prediction and communication of programmer difficulties from user-interface commands. It provides end-user interfaces for communicating, correcting, and reacting to the predictions. In addition, it offers researchers user-interfaces for interacting with the prediction process as it is executed rather than, as in traditional mining tools, after it has generated data for a set of experimental subjects. These user-interfaces can be used to determine key elements of the prediction process, why certain wrong or right predictions have been made, and change parameters of the process. A video demonstration this work is available at http://youtu.be/09LpDIPG5h8.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114369383","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}
Our research explores possibilities to apply neurophysiological methods for real-time emotion detection during human-technology interaction. The present paper outlines our scientific approach, research plan and methodology.
{"title":"Real-Time Emotion Detection for Neuro-Adaptive Systems","authors":"K. Pollmann","doi":"10.1145/2732158.2732161","DOIUrl":"https://doi.org/10.1145/2732158.2732161","url":null,"abstract":"Our research explores possibilities to apply neurophysiological methods for real-time emotion detection during human-technology interaction. The present paper outlines our scientific approach, research plan and methodology.","PeriodicalId":177570,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces Companion","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128384243","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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