| 2019 | HuManIC: human machine interpretive control. | Phillip Odom, Raymond Hebard, Stephen Lee-Urban |
| 2019 | Understanding and Exploring Competitive Technical Data from Large Repositories of Unstructured Text. | James Nolan, Mark Stevens, Peter David |
| 2019 | Mash: software tools for developing interactive and transparent machine learning systems. | An Thanh Nguyen, Matt Lease, Byron C. Wallace |
| 2019 | Explainable modeling of annotations in crowdsourcing. | An T. Nguyen, Matthew Lease, Byron C. Wallace |
| 2019 | SciNoon: Exploratory Search System for Scientific Groups. | Yaroslav Nedumov, Anton Babichev, Ivan Mashonsky, Natalia Semina |
| 2019 | Scene text access: a comparison of mobile OCR modalities for blind users. | Leo Neat, Peng Ren, Siyang Qin, Roberto Manduchi |
| 2019 | Programming-by-example for data transformation to improve machine learning performance. | Minori Narita, Takeo Igarashi |
| 2019 | Requirements for Explainable Smart Systems in the Enterprises from Users and Society Based on FAT. | Yuri Nakao, Junichi Shigezumi, Hikaru Yokono, Takuya Takagi |
| 2019 | Autocomplete vocal- | Tomoyasu Nakano, Yuki Koyama, Masahiro Hamasaki, Masataka Goto |
| 2019 | Quantification of gracefulness from hand trajectory in classical dance motion. | Takumi Nakamura, Kenichi Iida, Etsuko Ueda |
| 2019 | Adaptive suggestions to increase learnability for voice user interfaces. | Chelsea M. Myers |
| 2019 | Photo sleuth: combining human expertise and face recognition to identify historical portraits. | Vikram Mohanty, David Thames, Sneha Mehta, Kurt Luther |
| 2019 | Building Jarvis - A Learner-Aware Conversational Trainer. | Shiwali Mohan, Kalai Ramea, Bob Price, Matthew Shreve, Hoda Eldardiry, Les Nelson |
| 2019 | Exploring How to Personalize Travel Mode Recommendations For Urban Transportation. | Shiwali Mohan, Matthew Klenk, Victoria Bellotti |
| 2019 | Personal user interfaces for recommender systems. | Martijn Millecamp, Katrien Verbert |
| 2019 | To explain or not to explain: the effects of personal characteristics when explaining music recommendations. | Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert |
| 2019 | The effect of subjective speech on product recommendation virtual agent. | Tetsuya Matsui, Seiji Yamada |
| 2019 | Exemplar based experience transfer. | Paridhi Maheshwari, Nitish Bansal, Surya Dwivedi, Rohan Kumar, Pranav Manerikar, Balaji Vasan Srinivasan |
| 2019 | Background perception and comprehension of symbols conveyed through vibrotactile wearable displays. | Granit Luzhnica, Eduardo E. Veas |
| 2019 | Evaluating Rule-based Programming and ReinforcementLearning for Personalising an Intelligent System. | Ruixue Liu, Advait Sarkar, Erin Solovey, Sebastian Tschiatschek |
| 2019 | Point-of-interest category recommendation based on group mobility modeling. | Xingxin Liu, Xingyu Huang, Yue Wang, Lin Zhang |
| 2019 | Why these Explanations? Selecting Intelligibility Types for Explanation Goals. | Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang |
| 2019 | ExSS: explainable smart systems 2019. | Brian Y. Lim, Advait Sarkar, Alison Smith-Renner, Simone Stumpf |
| 2019 | Geotagging tweets to landmarks using convolutional neural networks with text and posting time. | Kwan Hui Lim, Shanika Karunasekera, Aaron Harwood, Yasmeen M. George |
| 2019 | Adding intelligence to a data security analysis system: recommendation and planning support. | Tianyi Li, Gregorio Convertino, Ranjeet Kumar Tayi, Shima Kazerooni, Gary Patterson |