2019 Proceeding- General Chairs:
- Wai-Tat Fu,
- Shimei Pan,
- Program Chairs:
- Oliver Brdiczka,
- Polo Chau,
- Gaelle Calvary
This is the twenty-fourth IUI conference, continuing its tradition of being the main international forum for reporting outstanding research at the intersection of Human Computer Interaction (HCI) and Artificial Intelligence (AI). The work that appears at IUI bridges these two fields and delves also into related fields, such as psychology, cognitive science, computer graphics, the arts, and others. Members of the IUI community are interested in improving the symbiosis between humans and computers, and in making systems adapt to humans rather than the other way around.
Getting virtually personal: making responsible and empathetic "her" for everyone
Have you watched the movie Her? Have you ever wondered or wished to have your own AI companion just like Samantha, who could understand you better than you know about yourself, and could tell you what you really are, whom your best partner may be, and ...
DARPA's explainable artificial intelligence (XAI) program
The DARPA's Explainable Artificial Intelligence (XAI) program endeavors to create AI systems whose learned models and decisions can be understood and appropriately trusted by end users. This talk will summarize the XAI program and present highlights ...
Innovating with AI
Google has created 8 products with over a billion users each. These products are powered by AI (artificial intelligence) at every level - from the core infrastructure and software platform to the application logic and the user interface. I'll share a ...
Cited By
- Meza Martínez M, Nadj M, Langner M, Toreini P and Maedche A (2023). Does this Explanation Help? Designing Local Model-agnostic Explanation Representations and an Experimental Evaluation Using Eye-tracking Technology, ACM Transactions on Interactive Intelligent Systems, 13:4, (1-47), Online publication date: 31-Dec-2024.
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Pfeiffer J, Gutschow J, Haas C, Möslein F, Maspfuhl O, Borgers F and Alpsancar S (2023). Algorithmic Fairness in AI, Business & Information Systems Engineering, 10.1007/s12599-023-00787-x, 65:2, (209-222), Online publication date: 1-Apr-2023.
- Putrada A, Abdurohman M, Perdana D, Nuha H and Farias G (2022). CIMA, Complexity, 2022, Online publication date: 1-Jan-2022.
- Luzhnica G and Veas E Optimising Encoding for Vibrotactile Skin Reading Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, (1-14)
Index Terms
- Proceedings of the 24th 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% |