IUI. International Conference on Intelligent User Interfaces最新文献

IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022 IUI 2022:第27届智能用户界面国际会议，赫尔辛基，芬兰，2022年3月22日至25日

IUI. International Conference on Intelligent User Interfaces Pub Date : 2022-01-01 DOI: 10.1145/3490099

引用次数: 0

Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier 利用社交媒体改善心理健康:陷阱、经验教训和下一个前沿

IUI. International Conference on Intelligent User Interfaces Pub Date : 2022-01-01 DOI: 10.1145/3490099.3519389

M. Choudhury

引用次数: 0

IUI '21: 26th International Conference on Intelligent User Interfaces, College Station, TX, USA, April 13-17, 2021 IUI '21:第26届智能用户界面国际会议，大学城，德克萨斯州，美国，4月13-17日

IUI. International Conference on Intelligent User Interfaces Pub Date : 2021-01-01 DOI: 10.1145/3397481

引用次数: 0

Towards Making Videos Accessible for Low Vision Screen Magnifier Users. 让低视力屏幕放大镜用户也能观看视频。

IUI. International Conference on Intelligent User Interfaces Pub Date : 2020-03-01 DOI: 10.1145/3377325.3377494

Ali Selman Aydin, Shirin Feiz, Vikas Ashok, I V Ramakrishnan

{"title":"Towards Making Videos Accessible for Low Vision Screen Magnifier Users.","authors":"Ali Selman Aydin, Shirin Feiz, Vikas Ashok, I V Ramakrishnan","doi":"10.1145/3377325.3377494","DOIUrl":"10.1145/3377325.3377494","url":null,"abstract":"People with low vision who use screen magnifiers to interact with computing devices find it very challenging to interact with dynamically changing digital content such as videos, since they do not have the luxury of time to manually move, i.e., pan the magnifier lens to different regions of interest (ROIs) or zoom into these ROIs before the content changes across frames. In this paper, we present SViM, a first of its kind screen-magnifier interface for such users that leverages advances in computer vision, particularly video saliency models, to identify salient ROIs in videos. SViM's interface allows users to zoom in/out of any point of interest, switch between ROIs via mouse clicks and provides assistive panning with the added flexibility that lets the user explore other regions of the video besides the ROIs identified by SViM. Subjective and objective evaluation of a user study with 13 low vision screen magnifier users revealed that overall the participants had a better user experience with SViM over extant screen magnifiers, indicative of the former's promise and potential for making videos accessible to low vision screen magnifier users.","PeriodicalId":87287,"journal":{"name":"IUI. International Conference on Intelligent User Interfaces","volume":"2020 ","pages":"10-21"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871698/pdf/nihms-1666230.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25358571","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: 0

SaIL: Saliency-Driven Injection of ARIA Landmarks. SaIL:显著性驱动的ARIA地标注入。

IUI. International Conference on Intelligent User Interfaces Pub Date : 2020-03-01 DOI: 10.1145/3377325.3377540

Ali Selman Aydin, Shirin Feiz, Vikas Ashok, I V Ramakrishnan

{"title":"SaIL: Saliency-Driven Injection of ARIA Landmarks.","authors":"Ali Selman Aydin, Shirin Feiz, Vikas Ashok, I V Ramakrishnan","doi":"10.1145/3377325.3377540","DOIUrl":"https://doi.org/10.1145/3377325.3377540","url":null,"abstract":"Navigating webpages with screen readers is a challenge even with recent improvements in screen reader technologies and the increased adoption of web standards for accessibility, namely ARIA. ARIA landmarks, an important aspect of ARIA, lets screen reader users access different sections of the webpage quickly, by enabling them to skip over blocks of irrelevant or redundant content. However, these landmarks are sporadically and inconsistently used by web developers, and in many cases, even absent in numerous web pages. Therefore, we propose SaIL, a scalable approach that automatically detects the important sections of a web page, and then injects ARIA landmarks into the corresponding HTML markup to facilitate quick access to these sections. The central concept underlying SaIL is visual saliency, which is determined using a state-of-the-art deep learning model that was trained on gaze-tracking data collected from sighted users in the context of web browsing. We present the findings of a pilot study that demonstrated the potential of SaIL in reducing both the time and effort spent in navigating webpages with screen readers.","PeriodicalId":87287,"journal":{"name":"IUI. International Conference on Intelligent User Interfaces","volume":"2020 ","pages":"111-115"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3377325.3377540","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25368054","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: 11

Scene Text Access: A Comparison of Mobile OCR Modalities for Blind Users. 场景文本访问：盲人用户移动OCR模式的比较。

IUI. International Conference on Intelligent User Interfaces Pub Date : 2019-03-01 DOI: 10.1145/3301275.3302271

Leo Neat, Ren Peng, Siyang Qin, Roberto Manduchi

{"title":"Scene Text Access: A Comparison of Mobile OCR Modalities for Blind Users.","authors":"Leo Neat, Ren Peng, Siyang Qin, Roberto Manduchi","doi":"10.1145/3301275.3302271","DOIUrl":"https://doi.org/10.1145/3301275.3302271","url":null,"abstract":"We present a study with seven blind participants using three different mobile OCR apps to find text posted in various indoor environments. The first app considered was Microsoft SeeingAI in its Short Text mode, which reads any text in sight with a minimalistic interface. The second app was Spot+OCR, a custom application that separates the task of text detection from OCR proper. Upon detection of text in the image, Spot+OCR generates a short vibration; as soon as the user stabilizes the phone, a high-resolution snapshot is taken and OCR-processed. The third app, Guided OCR, was designed to guide the user in taking several pictures in a 360° span at the maximum resolution available by the camera, with minimum overlap between pictures. Quantitative results (in terms of true positive ratios and traversal speed) were recorded. Along with the qualitative observation and outcomes from an exit survey, these results allow us to identify and assess the different strategies used by our participants, as well as the challenges of operating these systems without sight.","PeriodicalId":87287,"journal":{"name":"IUI. International Conference on Intelligent User Interfaces","volume":"2019 ","pages":"197-207"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3301275.3302271","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41223152","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

Towards a Generalizable Method for Detecting Fluid Intake with Wrist-Mounted Sensors and Adaptive Segmentation. 用腕戴式传感器和自适应分割检测液体摄入的通用方法。

IUI. International Conference on Intelligent User Interfaces Pub Date : 2019-03-01 DOI: 10.1145/3301275.3302315

Keum San Chun, Ashley B Sanders, Rebecca Adaimi, Necole Streeper, David E Conroy, Edison Thomaz

{"title":"Towards a Generalizable Method for Detecting Fluid Intake with Wrist-Mounted Sensors and Adaptive Segmentation.","authors":"Keum San Chun, Ashley B Sanders, Rebecca Adaimi, Necole Streeper, David E Conroy, Edison Thomaz","doi":"10.1145/3301275.3302315","DOIUrl":"10.1145/3301275.3302315","url":null,"abstract":"Over the last decade, advances in mobile technologies have enabled the development of intelligent systems that attempt to recognize and model a variety of health-related human behaviors. While automated dietary monitoring based on passive sensors has been an area of increasing research activity for many years, much less attention has been given to tracking fluid intake. In this work, we apply an adaptive segmentation technique on a continuous stream of inertial data captured with a practical, off-the-shelf wrist-mounted device to detect fluid intake gestures passively. We evaluated our approach in a study with 30 participants where 561 drinking instances were recorded. Using a leave-one-participant-out (LOPO), we were able to detect drinking episodes with 90.3% precision and 91.0% recall, demonstrating the generalizability of our approach. In addition to our proposed method, we also contribute an anonymized and labeled dataset of drinking and non-drinking gestures to encourage further work in the field.","PeriodicalId":87287,"journal":{"name":"IUI. International Conference on Intelligent User Interfaces","volume":"2019 ","pages":"80-85"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3301275.3302315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37194335","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: 16

Providing Adaptive and Personalized Visual Support based on Behavioral Tracking of Children with Autism for Assessing Reciprocity and Coordination Skills in a Joint Attention Training Application 基于行为跟踪的自适应和个性化视觉支持在自闭症儿童互惠和协调技能评估中的应用

IUI. International Conference on Intelligent User Interfaces Pub Date : 2018-03-05 DOI: 10.1145/3180308.3180349

T. Tang, Pinata Winoto

引用次数: 1

A Configurable and Contextually Expandable Interactive Picture Exchange Communication System (PECS) for Chinese Children with Autism 面向中国自闭症儿童的可配置、情境可扩展的交互式图片交换通信系统

IUI. International Conference on Intelligent User Interfaces Pub Date : 2018-03-05 DOI: 10.1145/3180308.3180348

T. Tang, Pinata Winoto

引用次数: 2

Can We Predict the Scenic Beauty of Locations from Geo-tagged Flickr Images? 我们能从地理标记的Flickr图片中预测地点的美景吗?

IUI. International Conference on Intelligent User Interfaces Pub Date : 2018-03-05 DOI: 10.1145/3172944.3173000

Ch. Md. Rakin Haider, Mohammed Eunus Ali

引用次数: 1