IUI. International Conference on Intelligent User Interfaces最新文献_第2页

Write-it-Yourself with the Aid of Smartwatches: A Wizard-of-Oz Experiment with Blind People. 在智能手表的帮助下自己写:盲人的绿野仙踪实验。

IUI. International Conference on Intelligent User Interfaces Pub Date : 2018-03-01 DOI: 10.1145/3172944.3173005

Syed Masum Billah, Vikas Ashok, I V Ramakrishnan

{"title":"Write-it-Yourself with the Aid of Smartwatches: A Wizard-of-Oz Experiment with Blind People.","authors":"Syed Masum Billah, Vikas Ashok, I V Ramakrishnan","doi":"10.1145/3172944.3173005","DOIUrl":"https://doi.org/10.1145/3172944.3173005","url":null,"abstract":"Working with non-digital, standard printed materials has always been a challenge for blind people, especially writing. Blind people very often depend on others to fill out printed forms, write checks, sign receipts and documents. Extant assistive technologies for working with printed material have exclusively focused on reading, with little to no support for writing. Also, these technologies employ special-purpose hardware that are usually worn on fingers, making them unsuitable for writing. In this paper, we explore the idea of using off-the-shelf smartwatches (paired with smartphones) to assist blind people in both reading and writing paper forms including checks and receipts. Towards this, we performed a Wizard-of-Oz evaluation of different smartwatch-based interfaces that provide user-customized audio-haptic feedback in real-time, to guide blind users to different form fields, narrate the field labels, and help them write straight while filling out these fields. Finally, we report the findings of this study including the technical challenges and user expectations that can potentially inform the design of Write-it-Yourself aids based on smartwatches.","PeriodicalId":87287,"journal":{"name":"IUI. International Conference on Intelligent User Interfaces","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3172944.3173005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36326435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design. 大型网络数据的交互式查询:可伸缩性、可视化和交互设计。

IUI. International Conference on Intelligent User Interfaces Pub Date : 2015-03-01 DOI: 10.1145/2732158.2732192

Robert Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng Chau

引用次数: 8

Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study. 从环境声音中推断现实世界中的用餐行为:一项可行性研究。

IUI. International Conference on Intelligent User Interfaces Pub Date : 2015-03-01 DOI: 10.1145/2678025.2701405

Edison Thomaz, Cheng Zhang, Irfan Essa, Gregory D Abowd

引用次数: 49

Audio Haptic Videogaming for Developing Wayfinding Skills in Learners Who are Blind. 音频触觉视频游戏培养盲人学习者的寻路技能。

IUI. International Conference on Intelligent User Interfaces Pub Date : 2014-01-01 DOI: 10.1145/2557500.2557519

Jaime Sánchez, Marcia de Borba Campos, Matías Espinoza, Lotfi B Merabet

引用次数: 20

CatStream: categorising tweets for user profiling and stream filtering CatStream:为用户分析和流过滤分类推文

IUI. International Conference on Intelligent User Interfaces Pub Date : 2013-03-19 DOI: 10.1145/2449396.2449402

Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth

{"title":"CatStream: categorising tweets for user profiling and stream filtering","authors":"Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth","doi":"10.1145/2449396.2449402","DOIUrl":"https://doi.org/10.1145/2449396.2449402","url":null,"abstract":"Real-time information streams such as Twitter have become a common way for users to discover new information. For most users this means curating a set of other users to follow. However, at the moment the following granularity of Twitter is restricted to the level of individual users. Our research has highlighted that many following relationships are motivated by a subset of interests that are shared by the users in question. For example, user A might follow user B because of their technology related tweets, but shares little or no interest in their other tweets. As a result, this all-or-nothing following relationship can quickly overwhelm users' timelines with extraneous information. To improve this situation we propose a user profiling approach based on the topical categorisation of users' posted URLs. These topics can then be used to filter information streams so that they focus on more relevant information from the people they follow, based on their core interests. In particular, we present a system called CatStream that provides for a more fine-grained way to follow users on specific topics and filter our timelines accordingly. We present the results of a live-user study that shows how filtered timelines offer a better way to organise and filter their information streams. Most importantly users are generally satisfied with the categories predicted for their profiles and tweets.","PeriodicalId":87287,"journal":{"name":"IUI. International Conference on Intelligent User Interfaces","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81581865","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: 25

AppFunnel: a framework for usage-centric evaluation of recommender systems that suggest mobile applications AppFunnel:一个以用户为中心评估推荐系统的框架，推荐手机应用

IUI. International Conference on Intelligent User Interfaces Pub Date : 2013-03-19 DOI: 10.1145/2449396.2449431

Matthias Böhmer, Lyubomir Ganev, A. Krüger

{"title":"AppFunnel: a framework for usage-centric evaluation of recommender systems that suggest mobile applications","authors":"Matthias Böhmer, Lyubomir Ganev, A. Krüger","doi":"10.1145/2449396.2449431","DOIUrl":"https://doi.org/10.1145/2449396.2449431","url":null,"abstract":"Mobile phones have evolved from communication to multi-purpose devices that assist people with applications in various contexts and tasks. The size of the mobile ecosystem is steadily growing and new applications become available every day. This increasing number of applications makes it difficult for end-users to find good applications. Recommender systems suggesting mobile applications are being built to help people to find valuable applications. Since the nature of mobile applications differs from classical items to be recommended (e.g. books, movies, other goods), not only can new approaches for recommendation be developed, but also new paradigms for evaluating performance of recommender systems are advisable. During the lifecycle of mobile applications, different events can be observed that provide insights into users' engagement with particular applications. This gives rise to new approaches for evaluation of recommender systems. In this paper, we present AppFunnel: a framework that allows for usage-centric evaluation considering different stages of application engagement. We present a case study and discuss capabilities for evaluating recommender engines by applying metrics to the AppFunnel.","PeriodicalId":87287,"journal":{"name":"IUI. International Conference on Intelligent User Interfaces","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87990744","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: 52

Agent metaphor for machine translation mediated communication 机器翻译中介沟通的代理隐喻

IUI. International Conference on Intelligent User Interfaces Pub Date : 2013-03-19 DOI: 10.1145/2449396.2449407

Chunqi Shi, Donghui Lin, T. Ishida

{"title":"Agent metaphor for machine translation mediated communication","authors":"Chunqi Shi, Donghui Lin, T. Ishida","doi":"10.1145/2449396.2449407","DOIUrl":"https://doi.org/10.1145/2449396.2449407","url":null,"abstract":"Machine translation is increasingly used to support multilingual communication. Because of unavoidable translation errors, multilingual communication cannot accurately transfer information. We propose to shift from the transparent channel metaphor to the human-interpreter (agent) metaphor. Instead of viewing machine translation mediated communication as a transparent channel, the interpreter (agent) encourages the dialog participants to collaborate, as their interactivity will be helpful in reducing the number of translation errors, the noise of the channel. We examine the translation issues raised by multilingual communication, and analyze the impact of interactivity on the elimination of translation errors. We propose an implementation of the agent metaphor, which promotes interactivity between dialog participants and the machine translator. We design the architecture of our agent, analyze the interaction process, describe decision support and autonomous behavior, and provide an example of repair strategy preparation. We conduct an English-Chinese communication task experiment on tangram arrangement. The experiment shows that, compared to the transparent-channel metaphor, our agent metaphor reduced human communication effort by 21.6%.","PeriodicalId":87287,"journal":{"name":"IUI. International Conference on Intelligent User Interfaces","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86770641","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: 6

Haptic interface for non-visual steering 用于非视觉转向的触觉界面

IUI. International Conference on Intelligent User Interfaces Pub Date : 2013-03-19 DOI: 10.1145/2449396.2449451

Burkay Sucu, Eelke Folmer

引用次数: 11

Semi-automatic generation of recommendation processes and their GUIs 半自动生成推荐过程及其gui

IUI. International Conference on Intelligent User Interfaces Pub Date : 2013-03-19 DOI: 10.1145/2449396.2449410

H. Kaindl, Elmar P. Wach, Ada Okoli, R. Popp, Ralph Hoch, Werner Gaulke, Tim Hussein

引用次数: 3

Leveraging the crowd to improve feature-sentiment analysis of user reviews 利用人群来改进用户评论的特征情感分析

IUI. International Conference on Intelligent User Interfaces Pub Date : 2013-03-19 DOI: 10.1145/2449396.2449400

Shih-Wen Huang, Pei-Fen Tu, W. Fu, M. Amanzadeh

{"title":"Leveraging the crowd to improve feature-sentiment analysis of user reviews","authors":"Shih-Wen Huang, Pei-Fen Tu, W. Fu, M. Amanzadeh","doi":"10.1145/2449396.2449400","DOIUrl":"https://doi.org/10.1145/2449396.2449400","url":null,"abstract":"Crowdsourcing and machine learning are both useful techniques for solving difficult problems (e.g., computer vision and natural language processing). In this paper, we propose a novel method that harnesses and combines the strength of these two techniques to better analyze the features and the sentiments toward them in user reviews. To strike a good balance between reducing information overload and providing the original context expressed by review writers, the proposed system (1) allows users to interactively rank the entities based on feature-rating, (2) automatically highlights sentences that are related to relevant features, and (3) utilizes implicit crowdsourcing by encouraging users to provide correct labels of their own reviews to improve the feature-sentiment classifier. The proposed system not only helps users to save time and effort to digest the often massive amount of user reviews, but also provides real-time suggestions on relevant features and ratings as users generate their own reviews. Results from a simulation experiment show that leveraging on the crowd can significantly improve the feature-sentiment analysis of user reviews. Furthermore, results from a user study show that the proposed interface was preferred by more participants than interfaces that use traditional noun-adjective pair summarization, as the current interface allows users to view feature-related information in the original context.","PeriodicalId":87287,"journal":{"name":"IUI. International Conference on Intelligent User Interfaces","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83488002","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: 20