Proceedings of the 24th International Conference on Intelligent User Interfaces最新文献_第5页

Where can my career take me?: harnessing dialogue for interactive career goal recommendations 我的事业能把我带向何方?:利用对话提供互动式职业目标建议

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302311

O. Alkan, E. Daly, A. Botea, Abel N. Valente, Pablo Pedemonte

{"title":"Where can my career take me?: harnessing dialogue for interactive career goal recommendations","authors":"O. Alkan, E. Daly, A. Botea, Abel N. Valente, Pablo Pedemonte","doi":"10.1145/3301275.3302311","DOIUrl":"https://doi.org/10.1145/3301275.3302311","url":null,"abstract":"Career goals represent a special case for recommender systems and require considering both short and long term goals. Recommendations must represent a trade off between relevance to the user, achievability and aspirational goals to move the user forward in their career. Users may have different motivations and concerns when looking for a new long term goal, so involving the user in the recommender process becomes all the more important than in other domains. Additionally, the cost to the user of making a bad decision is much higher than investing two hours in watching a movie they don't like or listening to an unappealing song. As a result, we feel career recommendations is a unique opportunity to truly engage the user in an interactive recommender as we believe they will invest the cognitive load. In this paper, we present an interactive career goal recommender framework that leverages the power of dialogue to allow the user interactively improve the recommendations and bring their own preferences to the system. The underlying recommendation algorithm is a novel solution that suggests both short and long term goals through utilizing the sequential patterns extracted from career trajectories that are enhanced with features of the supporting user profiles. The effectiveness of the proposed solution is demonstrated with extensive experiments on two real world data sets.","PeriodicalId":153096,"journal":{"name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127217206","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: 7

Visualizing authorship and contribution of collaborative writing in e-learning environments 在电子学习环境中可视化协作写作的作者和贡献

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302328

J. Torres, Sixto García, Enrique Peláez

引用次数: 4

Rasch-based tailored goals for nutrition assistance systems 基于rasch的量身定制的营养援助系统目标

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302298

Hanna Schäfer, M. Willemsen

引用次数: 26

Improving take-over quality in automated driving by interrupting non-driving tasks 通过中断非驾驶任务，提高自动驾驶接管质量

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302323

Thomas Köhn, Matthias Gottlieb, M. Schermann, H. Krcmar

{"title":"Improving take-over quality in automated driving by interrupting non-driving tasks","authors":"Thomas Köhn, Matthias Gottlieb, M. Schermann, H. Krcmar","doi":"10.1145/3301275.3302323","DOIUrl":"https://doi.org/10.1145/3301275.3302323","url":null,"abstract":"With automated driving advancing, first production models started to incorporate the technology. However, until full autonomy is achieved, drivers always need to stay available to take over control from the car. This requirement has proven challenging: increased levels of automation reduce drivers' situational awareness and driving performance can suffer, especially in the critical moments after take-over. While manual-driving research introduced strategies to direct drivers' attention back to the road, notably interruptions of the non-driving task, the efficacy of these interventions on automated driving remain unclear. To investigate this, 53 participants drove in an automated simulator while performing tasks on an IVIS. With task interruptions, they reported increased situational awareness and showed improved reaction times during take-over, particularly for low-effort tasks (watching movies). Different to manual driving, halting tasks did not suffice; instead, we displayed the driving scene. Results question effects of situational awareness on take-over and offer solutions for manufacturers.","PeriodicalId":153096,"journal":{"name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131294269","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: 24

SearchLens SearchLens

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302321

Joseph Chee Chang, Nathan Hahn, Adam Perer, A. Kittur

引用次数: 6

S(C)ENTINEL: monitoring automated vehicles with olfactory reliability displays S(C)ENTINEL:用嗅觉可靠性显示器监测自动驾驶车辆

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302332

Philipp Wintersberger, D. Dmitrenko, Clemens Schartmüller, Anna-Katharina Frison, E. Maggioni, Marianna Obrist, A. Riener

{"title":"S(C)ENTINEL: monitoring automated vehicles with olfactory reliability displays","authors":"Philipp Wintersberger, D. Dmitrenko, Clemens Schartmüller, Anna-Katharina Frison, E. Maggioni, Marianna Obrist, A. Riener","doi":"10.1145/3301275.3302332","DOIUrl":"https://doi.org/10.1145/3301275.3302332","url":null,"abstract":"Overreliance in technology is safety-critical and it is assumed that this could have been a main cause of severe accidents with automated vehicles. To ease the complex task of permanently monitoring vehicle behavior in the driving environment, researchers have proposed to implement reliability/uncertainty displays. Such displays allow to estimate whether or not an upcoming intervention is likely. However, presenting uncertainty just adds more visual workload on drivers, who might also be engaged in secondary tasks. We suggest to use olfactory displays as a potential solution to communicate system uncertainty and conducted a user study (N=25) in a high-fidelity driving simulator. Results of the experiment (conditions: no reliability display, purely visual reliability display, and visual-olfactory reliability display) comping both objective (task performance) and subjective (technology acceptance model, trust scales, semi-structured interviews) measures suggest that olfactory notifications could become a valuable extension for calibrating trust in automated vehicles.","PeriodicalId":153096,"journal":{"name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129811871","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: 28

The effects of example-based explanations in a machine learning interface 基于示例的解释在机器学习界面中的效果

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302289

Carrie J. Cai, Jonas Jongejan, Jess Holbrook

{"title":"The effects of example-based explanations in a machine learning interface","authors":"Carrie J. Cai, Jonas Jongejan, Jess Holbrook","doi":"10.1145/3301275.3302289","DOIUrl":"https://doi.org/10.1145/3301275.3302289","url":null,"abstract":"The black-box nature of machine learning algorithms can make their predictions difficult to understand and explain to end-users. In this paper, we propose and evaluate two kinds of example-based explanations in the visual domain, normative explanations and comparative explanations (Figure 1), which automatically surface examples from the training set of a deep neural net sketch-recognition algorithm. To investigate their effects, we deployed these explanations to 1150 users on QuickDraw, an online platform where users draw images and see whether a recognizer has correctly guessed the intended drawing. When the algorithm failed to recognize the drawing, those who received normative explanations felt they had a better understanding of the system, and perceived the system to have higher capability. However, comparative explanations did not always improve perceptions of the algorithm, possibly because they sometimes exposed limitations of the algorithm and may have led to surprise. These findings suggest that examples can serve as a vehicle for explaining algorithmic behavior, but point to relative advantages and disadvantages of using different kinds of examples, depending on the goal.","PeriodicalId":153096,"journal":{"name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132207611","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: 148

Guided play: digital sensing and coaching for stereotypical play behavior in children with autism 引导游戏:自闭症儿童刻板游戏行为的数字感知和指导

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302309

Cong Chen, Ajay Chander, Kanji Uchino

引用次数: 4

Explainable modeling of annotations in crowdsourcing 众包中注释的可解释建模

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302276

An T. Nguyen, Matthew Lease, Byron C. Wallace

引用次数: 6

CoSummary

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302284

Irshad Abibouraguimane, K. Hagihara, Keita Higuchi, Yuta Itoh, Yoichi Sato, T. Hayashida, M. Sugimoto

引用次数: 8