Gemini Robotics: Bringing AI into the Physical World, Gemini Robotics Team, Google DeepMind, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Travis Armstrong, Ashwin Balakrishna, Robert Baruch, Maria Bauza, Michiel Blokzijl, Steven Bohez, Konstantinos Bousmalis, Anthony Brohan, Thomas Buschmann, Arunkumar Byravan, Serkan Cabi, Ken Caluwaerts, Federico Casarini, Oscar Chang, Xi Chen, Hao-Tien Lewis Chiang, Krzysztof Choromanski, David D’Ambrosio, Sudeep Dasari, Todor Davchev, Coline Devin, Norman Di Palo, Tianli Ding, Adil Dostmohamed, Danny Driess, Yilun Du, Debidatta Dwibedi, Michael Elabd, Claudio Fantacci, Cody Fong, Erik Frey, Chuyuan Fu, Marissa Giustina, Keerthana Gopalakrishnan, Laura Graesser, Leonard Hasenclever, Nicolas Heess, Brandon Hernaez, Alexander Herzog, R. Alex Hofer, Jan Humplik, Atil Iscen, Mithun George Jacob, Deepali Jain, Ryan Julian, Dmitry Kalashnikov, M. Emre Karagozler, Stefani Karp, Chase Kew, Jerad Kirkland, Sean Kirmani, Yuheng Kuang, Thomas Lampe, Antoine Laurens, Isabel Leal, Alex X. Lee, Tsang-Wei Edward Lee, Jacky Liang, Yixin Lin, Sharath Maddineni, Anirudha Majumdar, Assaf Hurwitz Michaely, Robert Moreno, Michael Neunert, Francesco Nori, Carolina Parada, Emilio Parisotto, Peter Pastor, Acorn Pooley, Kanishka Rao, Krista Reymann, Dorsa Sadigh, Stefano Saliceti, Pannag Sanketi, Pierre Sermanet, Dhruv Shah, Mohit Sharma, Kathryn Shea, Charles Shu, Vikas Sindhwani, Sumeet Singh, Radu Soricut, Jost Tobias Springenberg, Rachel Sterneck, Razvan Surdulescu, Jie Tan, Jonathan Tompson, Vincent Vanhoucke, Jake Varley, Grace Vesom, Giulia Vezzani, Oriol Vinyals, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Fei Xia, Ted Xiao, Annie Xie, Jinyu Xie, Peng Xu, Sichun Xu, Ying Xu, Zhuo Xu, Yuxiang Yang, Rui Yao, Sergey Yaroshenko, Wenhao Yu, Wentao Yuan, Jingwei Zhang, Tingnan Zhang, Allan Zhou, Yuxiang Zhou. 2025.
Achieving Human Level Competitive Robot Table Tennis, David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi. Accepted at ICRA 2025.
The Design of the Barkour Benchmark for Robot Agility, Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jose Enrique CHEN, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Edward Lee, Ofir Nachum, Kenneth Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee. IROS 2024.
Learning to Learn Faster from Human Feedback with Language Model Predictive Control, Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauza, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil Joshi, Ben Jyenis, Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada. 2024.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models, Open X-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Hao-Shu Fang, Haochen Shi, Heni Ben Amor, Henrik I Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jiajun Wu, Jialin Wu, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jitendra Malik, Jonathan Tompson, Jonathan Yang, Joseph J. Lim, João Silvério, Junhyek Han, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Zhang, Krishan Rana, Krishnan Srinivasan, Lawrence Yunliang Chen, Lerrel Pinto, Liam Tan, Lionel Ott, Lisa Lee, Masayoshi Tomizuka, Maximilian Du, Michael Ahn, Mingtong Zhang, Mingyu Ding, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa , Nicklas Hansen, Nicolas Heess, Nikhil J Joshi, Niko Suenderhauf, Norman Di Palo, Nur Muhammad Mahi Shafiullah, Oier Mees, Oliver Kroemer, Pannag R Sanketi, Paul Wohlhart, Peng Xu, Pierre Sermanet, Priya Sundaresan, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Sudeep Dasari, Suneel Belkhale, Takayuki Osa, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xuanlin Li, Yao Lu, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zhuo Xu, Zichen Jeff Cui. ICRA 2024. Best Paper Award.
Robotic Table Tennis: A Case Study into a High Speed Learning System, David B D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q Moore, Thinh Nguyen, Ken Oslund, Barney J Reed, Krista Reymann, Pannag R Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu, 2023.
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control, Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alex Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich, 2023.
Barkour: Benchmarking animal-level agility with quadruped robots. Ken Caluwaerts, Atil Iscen, J Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jose Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Feresteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, 2023.
PaLM-E: An Embodied Multimodal Language Model, Danny Driess, Fei Xia, Mehdi SM Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence, 2023.
RT-1: Robotics Transformer for Real-World Control at Scale, Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael Ryoo, Grecia Salazar, Pannag Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich, 2022.
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research, Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke, Ken Goldberg, 2022.
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances, Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan, CoRL 2022. Special Innovation Award.
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language, Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence, 2022.
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items (dataset), Laura Downs, Anthony Francis, Nate Koenig, Brandon Kinman, Ryan Hickman, Krista Reymann, Thomas B. McHugh, Pascal Muetschard, Vincent Vanhoucke, ICRA 2022.
Mechanical Search on Shelves using LAX-RAY: Lateral Access X-RAY, Huang Huang, Marcus Dominguez-Kuhne, Jeffrey Ichnowski, Vishal Satish, Michael Danielczuk, Kate Sanders, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg. IROS 2021.
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization, Peter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski. ICRA 2020.
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions, Michael Danielczuk, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg. IROS 2020.
Policies Modulating Trajectory Generators, Atil Iscen, Jie Tan, Ken Caluwaerts, Vikas Sindhwani, Tingnan Zhang, Vincent Vanhoucke. CoRL 2018.
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping, Coline Devin, Eric Jang, Sergey Levine, Vincent Vanhoucke. CoRL 2018.
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation, Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine, CoRL 2018. Best Systems Paper Award.
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots, Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez and Vincent Vanhoucke. RSS 2018.
Classification of Crystallization Outcomes using Deep Convolutional Neural Networks, Andrew E. Bruno, Patrick Charbonneau, Janet Newman, Edward H. Snell, David R. So, Vincent Vanhoucke, Shawn Williams and Julie Wilson. PLOS ONE (ArXiv version, blog post), 2018.
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping, Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine and Vincent Vanhoucke. ICRA 2018.
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video, Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan and Vincent Vanhoucke. CVPR 2017.
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning, Christian Szegedy, Sergey Ioffe and Vincent Vanhoucke. ICLR 2016 (workshop) and AAAI 2017 (poster).
Rethinking the Inception Architecture for Computer Vision, Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna. CVPR 2016.
Real-Time Pedestrian Detection With Deep Network Cascades, Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke, Abhijit Ogale, Dave Ferguson. BMVC 2015.
Pedestrian Detection with a Large-Field-Of-View Deep Network, Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke. ICRA 2015.
Going Deeper with Convolutions, Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich. CVPR 2015 (oral). Winner, ImageNet Large Scale Visual Recognition Challenge 2014.
Autoregressive Product of Multi-frame Predictions Can Improve the Accuracy of Hybrid Models, Navdeep Jaitly, Vincent Vanhoucke, Geoffrey Hinton. Interspeech 2014.
Asynchronous Stochastic Optimization for Sequence Training of Deep Neural Networks, Georg Heigold, Erik McDermott, Vincent Vanhoucke, Andrew Senior, Michiel Bacchiani. ICASSP 2014.
Multiframe Deep Neural Networks for Acoustic Modeling, Vincent Vanhoucke, Matthieu Devin, Georg Heigold. ICASSP 2013.
Multilingual Acoustic Models using Distributed Deep Neural Networks, Georg Heigold, Vincent Vanhoucke, Andrew Senior, Patrick Nguyen, Marc'Aurelio Ranzato, Matthieu Devin and Jeff Dean. ICASSP 2013.
On Rectified Linear Units for Speech Processing, Matthew D. Zeiler, Marc'Aurelio Ranzato, Rajat Monga, Mark Mao, Ke Yang, Quoc V. Le, Patrick Nguyen, Andrew Senior, Vincent Vanhoucke, Jeff Dean and Geoffrey E. Hinton. ICASSP 2013.
Deep Neural Networks for Acoustic Modeling in Speech Recognition : The Shared Views of Four Research Groups, Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, Brian Kingsbury, IEEE Signal Processing Magazine, Vol. 29, No. 6, November, 2012. 2022 IEEE Signal Processing Magazine Best Paper Award.
Application Of Pretrained Deep Neural Networks To Large Vocabulary Speech Recognition (poster), Navdeep Jaitly, Patrick Nguyen, Andrew Senior, Vincent Vanhoucke. Interspeech 2012.
Investigations on Exemplar-based Features for Speech Recognition - Towards Thousands of Hours of Unsupervised, Noisy Data, Georg Heigold, Patrick Nguyen, Mitchel Weintraub and Vincent Vanhoucke. ICASSP 2012.
Improving the Speed of Neural Networks on CPUs (poster), Vincent Vanhoucke, Andrew Senior and Mark Z. Mao. Deep Learning and Unsupervised Feature Learning Workshop, NIPS 2011.
Unsupervised Discovery and Training of Maximally Dissimilar Cluster Models, Francoise Beaufays,Vincent Vanhoucke and Brian Strope. Interspeech 2010.
Reading Text in Consumer Digital Photographs, Vincent Vanhoucke and S. Burak Gokturk. SPIE DRR XIV, 2007.
Confidence Scoring and Rejection using Multi-Pass Speech Recognition, Vincent Vanhoucke. Interspeech 2005.
Automatic Training Set Segmentation For Multi-Pass Speech Recognition, Mark Z. Mao, Vincent Vanhoucke and Brian Strope. ICASSP 2005.
Design of Compact Acoustic Models through Clustering of Tied-Covariance Gaussians, Mark Z. Mao and Vincent Vanhoucke. ICSLP 2004.
Mixtures of Inverse Covariances: Covariance Modeling for Gaussian Mixtures with Applications to Automatic Speech Recognition, Vincent Vanhoucke, Department of Electrical Engineering, Stanford University.
Mixtures of Inverse Covariances, Vincent Vanhoucke and Ananth Sankar. IEEE Transactions on Speech and Audio Processing, Vol 13, #3, pp.250-264, May 2004.
Variable Length Mixtures of Inverse Covariances, Vincent Vanhoucke and Ananth Sankar. In Proceedings of Eurospeech 2003.
Mixtures of Inverse Covariances, Vincent Vanhoucke and Ananth Sankar. ICASSP2003 and NNSP 2003.
Speaker-Trained Recognition using Allophonic Enrollment Models, Vincent Vanhoucke, Michael M. Hochberg and Christopher J. Leggetter. ASRU2001.
Interpretability in Multidimensional Classification, Vincent Vanhoucke and Rosaria Silipo, in Interpretability Issues in Fuzzy Modeling, J. Casillas, O. Cordon, F. Herrera, L. Magdalena, editors, Studies in Fuzziness and Soft Computing, Springer-Verlag
Effects of Prompt Style when Navigating through Structured Data, Vincent Vanhoucke, W. Lawrence Neeley, Maria Mortati, Michael J. Sloan and Clifford Nass. INTERACT 2001.