Proceedings of the 19th international conference on Intelligent User Interfaces最新文献_第2页

Session details: Adaptive user interfaces 会话详细信息:自适应用户界面

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/3260906

Michelle X. Zhou

引用次数: 0

Session details: Intelligent visual interaction 会话细节:智能视觉交互

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/3260903

M. Billinghurst

引用次数: 0

Employing linked data and dialogue for modelling cultural awareness of a user 使用关联数据和对话来模拟用户的文化意识

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/2557500.2557529

R. Denaux, V. Dimitrova, L. Lau, P. Brna, D. Thakker, Christina M. Steiner

引用次数: 8

Mimetic interaction spaces: controlling distant displays in pervasive environments 模拟交互空间:在普遍环境中控制远距离显示

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/2557500.2557545

H. Rateau, L. Grisoni, B. Araújo

引用次数: 17

Adaptive click-and-cross: adapting to both abilities and task improves performance of users with impaired dexterity 自适应点击和交叉:适应能力和任务，提高用户的灵活性受损的表现

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/2557500.2557511

Louis Li, Krzysztof Z Gajos

{"title":"Adaptive click-and-cross: adapting to both abilities and task improves performance of users with impaired dexterity","authors":"Louis Li, Krzysztof Z Gajos","doi":"10.1145/2557500.2557511","DOIUrl":"https://doi.org/10.1145/2557500.2557511","url":null,"abstract":"Computer users with impaired dexterity often have difficulty accessing small, densely packed user interface elements. Past research in software-based solutions has mainly employed two approaches: modifying the interface and modifying the interaction with the cursor. Each approach, however, has limitations. Modifying the user interface by enlarging interactive elements makes access efficient for simple interfaces but increases the cost of navigation for complex ones by displacing items to screens that require tabs or scrolling to reach. Modifying the interaction with the cursor makes access possible to unmodified interfaces but may perform poorly on densely packed targets or require the user to perform multiple steps. We developed a new approach that combines the strengths of the existing approaches while minimizing their shortcomings, introducing only minimal distortion to the original interface while making access to frequently used parts of the user interface efficient and access to all other parts possible. We instantiated this concept as Adaptive Click-and-Cross, a novel interaction technique. Our user study demonstrates that, for sufficiently complex interfaces, Adaptive Click-and-Cross slightly improves the performance of users with impaired dexterity compared to only modifying the interface or only modifying the cursor.","PeriodicalId":287073,"journal":{"name":"Proceedings of the 19th international conference on Intelligent User Interfaces","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116074704","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}

引用次数: 13

Exploring customer specific KPI selection strategies for an adaptive time critical user interface 探索客户特定的KPI选择策略，以实现自适应时间关键型用户界面

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/2557500.2557536

I. R. Keck, R. Ross

{"title":"Exploring customer specific KPI selection strategies for an adaptive time critical user interface","authors":"I. R. Keck, R. Ross","doi":"10.1145/2557500.2557536","DOIUrl":"https://doi.org/10.1145/2557500.2557536","url":null,"abstract":"Rapid growth in the number of measures available to describe customer-organization relationships is presenting a serious challenge for Business Intelligence (BI) interface developers as they attempt to provide business users with key customer information without requiring users to painstakingly sift through many interface windows and layers. In this paper we introduce a prototype Intelligent User Interface that we have deployed to partially address this issue. The interface builds on machine learning techniques to construct a ranking model of Key Performance Indicators (KPIs) that are used to select and present the most important customer metrics that can be made available to business users in time critical environments. We provide an overview of the prototype application, the underlying models used for KPI selection, and a comparative evaluation of machine learning and closed form solutions to the ranking and selection problems. Results show that the machine learning based method outperformed the closed form solution with a 66.5% accuracy rate on multi-label attribution in comparison to 54.1% for the closed form solution.","PeriodicalId":287073,"journal":{"name":"Proceedings of the 19th international conference on Intelligent User Interfaces","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123356637","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}

引用次数: 8

Session details: John Riedl session 会话细节:John Riedl会话

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/3260900

A. Jameson

引用次数: 0

Towards facilitating user skill acquisition: identifying untrained visualization users through eye tracking 促进用户技能获取:通过眼动追踪识别未经训练的可视化用户

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/2557500.2557524

Dereck Toker, B. Steichen, Matthew Gingerich, C. Conati, G. Carenini

引用次数: 22

Improving business rating predictions using graph based features 使用基于图的特征改进企业评级预测

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/2557500.2557526

Amit Tiroshi, S. Berkovsky, M. Kâafar, D. Vallet, Terence Chen, T. Kuflik

{"title":"Improving business rating predictions using graph based features","authors":"Amit Tiroshi, S. Berkovsky, M. Kâafar, D. Vallet, Terence Chen, T. Kuflik","doi":"10.1145/2557500.2557526","DOIUrl":"https://doi.org/10.1145/2557500.2557526","url":null,"abstract":"Many types of recommender systems rely on a rich ensemble of user, item, and context features when generating recommendations for users. The features can be either manually engineered or automatically extracted from the available data, such that feature engineering becomes an important step in the recommendation process. In this work, we propose to leverage graph based representation of the data in order to generate and automatically populate features. We represent the standard user-item rating matrix and some domain metadata, as graph vertices and edges. Then, we apply a suite of graph theory and network analysis metrics to the graph based data representation, to populate features that augment the original user-item ratings data. The augmented data is fed into a classifier that predicts unknown user ratings, which are used for the generation of recommendations. We evaluate the proposed methodology using the recently released Yelp business ratings dataset. Our results indicate that the automatically populated graph features allow for more accurate and robust predictions, with respect to both the variability and sparsity of ratings.","PeriodicalId":287073,"journal":{"name":"Proceedings of the 19th international conference on Intelligent User Interfaces","volume":"49 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132943028","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}

引用次数: 23

Towards a user experience design framework for adaptive spoken dialogue in automotive contexts 面向汽车环境下自适应口语对话的用户体验设计框架

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI: 10.1145/2557500.2557506

Pontus Wärnestål, Fredrik Kronlid

引用次数: 3