Nikolas Martelaro’s talk – Remote user research for human-robot interaction – with video

On Friday the 11th of December, Nikolas Martelaro (Assistant Professor at Carnegie Mellon’s Human-Computer Interaction Institute) gave an online seminar on ways robot design teams can do remote user research now (in these COVID-19 times) and in the future. If you missed it, you can now watch the recorded livestream.

About the speaker

Nikolas Martelaro

Nikolas Martelaro is an Assistant Professor at Carnegie Mellon’s Human-Computer Interaction Institute. Martelaro’s lab focuses on augmenting designer’s capabilities through the use of new technology and design methods. Martelaro’s interest in developing new ways to support designers stems from my interest in creating interactive and intelligent products. Martelaro blends a background in product design methods, interaction design, human-robot interaction, and mechatronic engineering to build tools and methods that allow designers to understand people better and to create more human-centered products. Before moving to the HCII, Nikolas Martelaro was a researcher in the Digital Experiences group at the Accenture Technology Labs. Martelaro graduated with a Ph.D. in Mechanical Engineering from Stanford’s Center for Design Research where he was co-advised by Larry Leifer and Wendy Ju.

Abstract

COVID-19 has led to decreases in in-person user research. While designers who work on software can shift to using all digital remote research methods, people who work on hardware systems, including robots, are left with limited options. In this talk, I will discuss some ways the robot design teams can do remote user research now and in the future. I will draw on past work in human-computer interaction as well as my own work in creating systems to allow remote design teams to conduct remote observation and interaction prototyping. While things can be challenging for the user researcher team today, I believe that with some creative new methods, we can expand our abilities to do user research for robotics from anywhere in the world.

Papers covered during the talk

Natalia Calvo’s talk – How children build a trust model of a social robot in the first encounter?

On Friday the 13th of November, Talking Robotics hosted an online talk with PhD student Natalia Calvo from Uppsala University in Sweden. Now you can watch the recorded seminar.

Natalia Calvo with Pepper robot

Talking Robotics is a series of virtual seminars about Robotics and its interaction with other relevant fields, such as Artificial Intelligence, Machine Learning, Design Research, Human-Robot Interaction, among others. The aim is to promote reflections, dialogues, and a place to network. Talking Robotics happens virtually and bi-weekly, i.e., every other week, allocating 30 min for presentation and 30 min for Q&A and networking. Sessions have a roundtable format where everyone is welcome to share ideas. Recordings and materials are shared in this website.

Abstract

The talk discussed several literature approaches to assess children’s trust towards robots. Calvo argues that the perceived first impression of a social robot’s likability and competence are predictors of children’s judgments of trust in social robots.

Biography

Natalia Calvo is a Ph.D. student at Uppsala University in Sweden. She obtained her master’s degree in Robotics Engineering from the University of Genoa in Italy, and her bachelor’s degree in Mechatronics Engineering from the Nueva Granada Military University in Colombia. She is part of the EU ITN ANIMATAS project. Her research focuses on modelling trust in child-robot educational interactions. Natalia is interested in implementing machine learning models for the understanding of children’s perception of trust in robots. You can read more details about the speaker on this website.