What is ABOT?

For each robot, the ABOT Database provides:

Scores on four dimensions of robot appearance features:

How to Use ABOT?

The ABOT Database provides an overview of the range and variety of anthropomorphic robots. It is a powerful methodological tool for researchers and designers who study the psychological impact of robots' human-like appearance or create such robots. There are several ways to use our ABOT Database and website. For example, you can...

Use robots' overall human-likeness score, dimensions scores, and appearance feature scores:

Use standardized robot images as research stimuli:

Use our Robot Human-Likeness Estimator to estimate to what extent your robot will be perceived human-like compared to other real-world robots.
Keep updated on empirical research on robots' human-like appearance based on the ABOT Database.

How to Cite the ABOT Database?

Humans Behind the Scene

Xuan Zhao, a recent PhD graduate in Social Psychology at Brown University and a current postdoc at the University of Chicago Booth School of Business, created the database, conducted related research, and designed this website and the estimator.

Bertram F. Malle, Professor in the Department of Cognitive, Linguistic, and Psychological Sciences and Co-Director of the Humanity Centered Robotics Initiative at Brown University, supervises the ABOT Database and ongoing research.

Elizabeth Phillips, a postdoc with the Humanity Centered Robotics Initiative at Brown University, and new Assistant Professor at the U.S. Air Force Academy created the database and conducted related research.

Daniel Ullman, a PhD Candidate in Cognitive Science at Brown University, conducted related research for the 2018 HRI paper.

Salomi Aladia, researcher and Lab Manager organized data collection on all of our robots.

Special Thanks to: Research assistants and members of the Malle Lab and the HCRI Maartje de Graaf, Fue Vue, Maya Meneffe, Broderick Allan, Shivani Nishar, McKenna Cisler, Jonathan Lister and the ABOT Web Development team Leon Lei, G Cha, Ken Noh, and Fawn Tong.
Thank you for all of your support on the ABOT project.

Suggesting New Robots to ABOT

We aim to make ABOT the most comprehensive and extensive collection of extant anthropomorphic robots. We welcome suggestions on new robots. Suggestions will be included in the additional collection before we permanently transfer them to the core collection. Please contact us to provide feedback or suggest new robots.