It is with great pleasure that we welcome you to beautiful Sonoma, California and the 21st edition of ACM International Conference on Intelligent User Interfaces -- ACM IUI 2016. ACM IUI is "where HCI meets AI," or where the academic research communities of Human-Computer Interaction (HCI) and Artificial Intelligence (AI) intersect. As the premier international forum for reporting outstanding research and development on intelligent user interfaces, the conference welcomes submissions describing work at the cross-section of these two fields and other related fields, such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and many others. Members of the ACM IUI community are interested in improving the symbiosis between humans and computers, increasing the intelligence of both in the process.
The call for papers attracted 194 long and short paper submissions, 31 poster paper submissions, 11 demo paper submissions, and 17 student consortium submissions. The final program of the conference includes 2 keynotes, 49 long and short papers (25.3% acceptance rate), 15 posters, 6 demos, 2 workshops, 1 tutorial, and 12 student consortium papers. We are particularly excited for the keynotes by two distinguished speakers that will open the first and third days of the conference. The opening keynote will be given by Xavier Amatriain, VP of Engineering at Quora, on the topic of the "Past, Present, and Future of Recommender Systems: An Industry Perspective." The closing keynote will be given by Professor Elisabeth André, from Augsburg University and a long-time member of the ACM IUI community, on the topic of "Socially-Sensitive Interfaces: From Offline Studies to Interactive Experiences."
The conference could not be organized without the help of a large number of individuals who generously volunteered much of their own time. Their names can be found on the following pages. All of the members of the organizing committee have done a fantastic job of coordinating the many moving parts that go into putting on a great conference. We must also particularly thank our 34 senior program committee members for coordinating the papers review process and the 91 members of the program committee for providing high quality reviews. And, most important, we must thank the authors for their diligent work that resulted in so many great submissions. These have allowed us to develop the excellent program that is the enduring heart of the conference.
Another key for any great conference is a collection of strong sponsor organizations and generous corporate supporters. Our sponsors ACM, SIGAI, and SIGCHI are instrumental in making the conference happen year in and year out. This year, SIGCHI and SIGAI were particularly generous in providing financial support for our student travel grants, which have enabled 19 students to attend the conference that might not have otherwise. Our corporate supporters, Microsoft, IBM, Google, and Tableau have been supremely generous and the conference would be weaker without their contributions.
We hope you will find the program engaging and the mix of academic disciplines broadens your perspective on computing. We also hope the conference will provide you with a valuable opportunity to share ideas with other researchers and practitioners from around the world, whether through presenting your own work formally or through informal discussions during the banquet or coffee breaks. With luck, those shared ideas will manifest themselves in exciting papers at next year's conference and ultimately have impact far beyond the conference!
If you have any suggestions for how to improve the conference either this year or in the future, please do not hesitate to let us know.
Predicting Attitude and Actions of Twitter Users
In this paper, we present computational models to predict Twitter users' attitude towards a specific brand through their personal and social characteristics. We also predict their likelihood of taking different actions based on their attitudes. In order ...
Encouraging Diversity- and Representation-Awareness in Geographically Centralized Content
In centralized countries, not only population, media and economic power are concentrated, but people give more attention to central locations. While this is not inherently bad, this behavior extends to micro-blogging platforms: central locations get ...
TagFlip: Active Mobile Music Discovery with Social Tags
We report on the design and evaluation of TagFlip, a novel interface for active music discovery based on social tags of music. The tool, which was built for phone-sized screens, couples high user control on the recommended music with minimal interaction ...
Expense Control: A Gamified, Semi-Automated, Crowd-Based Approach For Receipt Capturing
We investigate a crowd-based approach to enhance the outcome of optical character recognition in the domain of receipt capturing to keep track of expenses. In contrast to existing work, our approach is capable of extracting single products and provides ...
Exploring User Attitudes Towards Different Approaches to Command Recommendation in Feature-Rich Software
Feature-rich software applications offer users hundreds of commands, yet most people use only a very small fraction of the available command set. Command recommenders aim to increase awareness of an application's capabilities by generating personalized ...
Cited By
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Parsonage G, Horton M and Read J (2023). Trust Acceptance Mapping - Designing Intelligent Systems for Use in an Educational Context Adaptive Instructional Systems, 10.1007/978-3-031-34735-1_3, (34-50),
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Zhou M and Li Z (2018). Blended mobile learning in theatre arts classrooms in higher education, Innovations in Education and Teaching International, 10.1080/14703297.2018.1447389, 56:3, (307-317), Online publication date: 4-May-2019.
Index Terms
- Proceedings of the 21st International Conference on Intelligent User Interfaces
Recommendations
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
IUI '19 | 282 | 71 | 25% |
IUI '18 | 299 | 43 | 14% |
IUI '18 Companion | 127 | 63 | 50% |
IUI '17 | 272 | 63 | 23% |
IUI '17 Companion | 272 | 63 | 23% |
IUI '16 | 194 | 49 | 25% |
IUI '16 Companion | 194 | 49 | 25% |
IUI '15 Companion | 205 | 47 | 23% |
IUI '15 | 205 | 47 | 23% |
IUI '14 | 191 | 46 | 24% |
IUI '13 | 192 | 43 | 22% |
IUI '04 | 140 | 72 | 51% |
IUI '02 | 111 | 49 | 44% |
IUI '99 | 70 | 21 | 30% |
IUI '98 | 57 | 20 | 35% |
Overall | 2,811 | 746 | 27% |