Proceedings of the 22nd International Conference on Intelligent User Interfaces最新文献_第2页

Towards Understanding Human Mistakes of Programming by Example: An Online User Study 通过实例来理解编程中的人为错误:一项在线用户研究

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025203

T. Lee, Casey Dugan, B. Bederson

引用次数: 17

Use of Haptic Feedback to Train Correct Application of Force in Endodontic Surgery 利用触觉反馈训练牙髓手术中正确施力

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025217

Myat Su Yin, P. Haddawy, S. Suebnukarn, Holger Schultheis, P. Rhienmora

{"title":"Use of Haptic Feedback to Train Correct Application of Force in Endodontic Surgery","authors":"Myat Su Yin, P. Haddawy, S. Suebnukarn, Holger Schultheis, P. Rhienmora","doi":"10.1145/3025171.3025217","DOIUrl":"https://doi.org/10.1145/3025171.3025217","url":null,"abstract":"With the minute margins of error in endodontic surgery, training in manual dexterity and proper instrument handling are crucial components in the dental curriculum. Important parameters include tool path, tool angulation, and force applied. In this work, we focus on training of correct application of force. This is particularly challenging since the amounts of force used are on the order of tenths of Newtons, requiring a highly refined tactile sense and incorrect force can cause irreversible damage. Too great a force can cause overdrilling or in extreme cases perforation of the tooth. Too small a force can cause thermal irritation possibly resulting in tissue necrosis. Despite the importance of correct use of force, this is the dimension on which students receive the least tutorial feedback since force information is typically not available in traditional training settings. In this paper, we present an approach to using haptic feedback as a means to convey formative feedback on the correct application of force. Feedback is conveyed to the student graphically and the correct amount of force to apply is trained haptically. The simulator is rewound and the student is asked to redo the stage where the error occurred. Preliminary evaluation against a control group of students who received only feedback concerning outcome shows the feedback mechanism to be effective.","PeriodicalId":166632,"journal":{"name":"Proceedings of the 22nd International Conference on Intelligent User Interfaces","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131647339","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

Confiding in and Listening to Virtual Agents: The Effect of Personality 信任和倾听虚拟代理人:个性的影响

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025206

Jingyi Li, Michelle X. Zhou, Huahai Yang, G. Mark

引用次数: 45

Inline Co-Evolution between Users and Information Presentation for Data Exploration 数据探索中用户与信息表示的内联协同演化

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025226

Landy Rajaonarivo, M. Courgeon, E. Maisel, P. D. Loor

引用次数: 5

Learning to Rate Clinical Concepts Using Simulated Clinician Feedback 学习使用模拟临床医生反馈评价临床概念

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025232

Mohammad Alsulmi, Ben Carterette

引用次数: 1

User Trust Dynamics: An Investigation Driven by Differences in System Performance 用户信任动态:由系统性能差异驱动的调查

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025219

Kun Yu, S. Berkovsky, R. Taib, Dan Conway, Jianlong Zhou, Fang Chen

{"title":"User Trust Dynamics: An Investigation Driven by Differences in System Performance","authors":"Kun Yu, S. Berkovsky, R. Taib, Dan Conway, Jianlong Zhou, Fang Chen","doi":"10.1145/3025171.3025219","DOIUrl":"https://doi.org/10.1145/3025171.3025219","url":null,"abstract":"Trust is a key factor affecting the way people rely on automated systems. On the other hand, system performance has comprehensive implications on a user's trust variations. This paper examines systems of varied levels of accuracy, in order to reveal the relationship between system performance, a user's trust and reliance on the system. In particular, it is identified that system failures have a stronger effect on trust than system successes. We also describe how patterns of trust change according to a number of consecutive system failures or successes. Importantly, we show that increasing user familiarity with the system decreases the rate of trust change, which provides new insights on the development of user trust. Finally, our analysis established a correlation between a user's reliance on a system and their trust level. Combining all these findings can have important implications in general system design and implementation, by predicting how trust builds and when it stabilizes, as well as allowing for indirectly reading a user's trust in real time based on system reliance.","PeriodicalId":166632,"journal":{"name":"Proceedings of the 22nd International Conference on Intelligent User Interfaces","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121397768","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: 69

Analyza: Exploring Data with Conversation Analyza:通过对话探索数据

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025227

Kedar Dhamdhere, K. McCurley, Ralfi Nahmias, Mukund Sundararajan, Qiqi Yan

引用次数: 72

Intelligent Sensory Modality Selection for Electronic Supportive Devices 电子辅助设备的智能感官模式选择

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025228

Kyle Kotowick, J. Shah

{"title":"Intelligent Sensory Modality Selection for Electronic Supportive Devices","authors":"Kyle Kotowick, J. Shah","doi":"10.1145/3025171.3025228","DOIUrl":"https://doi.org/10.1145/3025171.3025228","url":null,"abstract":"Humans operating in stressful environments, such as in military or emergency first-responder roles, are subject to high sensory input loads and must often switch their attention between different modalities. Conventional supportive devices that assist users in such situations typically provide information using a single, static sensory modality; however, this carries the risk of overload when the modalities for the primary task and the supportive device overlap. Effective feedback modality selection is essential in order to avoid such a risk. One potential method for accomplishing this is to intelligently select the supportive device's feedback modality based on the user's environment and given task; however, this may result in delayed or lost information due to the performance cost resulting from switching attention from one modality to another. This paper describes the design and results of a human-participant study designed to evaluate the benefits and risks of various intelligent modality-selection strategies. Our findings suggest complex interactions between strategies, sensory input load levels and feedback modalities, with numerous significant effects across many different performance metrics.","PeriodicalId":166632,"journal":{"name":"Proceedings of the 22nd International Conference on Intelligent User Interfaces","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128171667","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: 3

SIRUP: Serendipity In Recommendations via User Perceptions SIRUP:基于用户感知的推荐中的意外发现

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025185

Valentina Maccatrozzo, Manon Terstall, Lora Aroyo, G. Schreiber

引用次数: 35

Understanding Emotional Responses to Mobile Video Advertisements via Physiological Signal Sensing and Facial Expression Analysis 基于生理信号感知和面部表情分析的手机视频广告情绪反应研究

Proceedings of the 22nd International Conference on Intelligent User Interfaces Pub Date : 2017-03-07 DOI: 10.1145/3025171.3025186

Phuong Pham, Jingtao Wang

{"title":"Understanding Emotional Responses to Mobile Video Advertisements via Physiological Signal Sensing and Facial Expression Analysis","authors":"Phuong Pham, Jingtao Wang","doi":"10.1145/3025171.3025186","DOIUrl":"https://doi.org/10.1145/3025171.3025186","url":null,"abstract":"Understanding a target audience's emotional responses to video advertisements is crucial to stakeholders. However, traditional methods for collecting such information are slow, expensive, and coarse-grained. We propose AttentiveVideo, an intelligent mobile interface with corresponding inference algorithms to monitor and quantify the effects of mobile video advertising. AttentiveVideo employs a combination of implicit photoplethysmography (PPG) sensing and facial expression analysis (FEA) to predict viewers' attention, engagement, and sentiment when watching video advertisements on unmodified smartphones. In a 24-participant study, we found that AttentiveVideo achieved good accuracies on a wide range of emotional measures (the best average accuracy = 73.59%, kappa = 0.46 across 9 metrics). We also found that the PPG sensing channel and the FEA technique are complimentary. While FEA works better for strong emotions (e.g., joy and anger), the PPG channel is more informative for subtle responses or emotions. These findings show the potential for both low-cost collection and deep understanding of emotional responses to mobile video advertisements.","PeriodicalId":166632,"journal":{"name":"Proceedings of the 22nd International Conference on Intelligent User Interfaces","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566674","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