6 citations · 14 across the 17 of their papers we have counts for
7 papers · 1 filter
What Predicts Interpersonal Affect? Preliminary Analyses from Retrospective Evaluations
Maria Teresa Parreira, Michael J. Sack, Malte Jung
While the field of affective computing has contributed to greatly improving the seamlessness of human-robot interactions, the focus has primarily been on the emotional processing o…
A Systematic Review on Reproducibility in Child-Robot Interaction
Micol Spitale, Rebecca Stower, Elmira Yadollahi +4
Research reproducibility - i.e., rerunning analyses on original data to replicate the results - is paramount for guaranteeing scientific validity. However, reproducibility is often…
"How Did They Come Across?" Lessons Learned from Continuous Affective Ratings
Maria Teresa Parreira, Michael J. Sack, Hifza Javed +2
Social distance, or perception of the other, is recognized as a dynamic dimension of an interaction, but yet to be widely explored or understood. Through CORAE, a novel web-based o…
CORAE: A Tool for Intuitive and Continuous Retrospective Evaluation of Interactions
Michael J. Sack, Maria Teresa Parreira, Jenny Fu +4
This paper introduces CORAE, a novel web-based open-source tool for COntinuous Retrospective Affect Evaluation, designed to capture continuous affect data about interpersonal perce…
The Bystander Affect Detection (BAD) Dataset for Failure Detection in HRI
Alexandra Bremers, Maria Teresa Parreira, Xuanyu Fang +6
For a robot to repair its own error, it must first know it has made a mistake. One way that people detect errors is from the implicit reactions from bystanders -- their confusion,…
Robot Duck Debugging: Can Attentive Listening Improve Problem Solving?
Maria Teresa Parreira, Sarah Gillet, Iolanda Leite
While thinking aloud has been reported to positively affect problem-solving, the effects of the presence of an embodied entity (e.g., a social robot) to whom words can be directed…
Using Social Cues to Recognize Task Failures for HRI: Overview, State-of-the-Art, and Future Directions
Alexandra Bremers, Alexandria Pabst, Maria Teresa Parreira +1
Robots that carry out tasks and interact in complex environments will inevitably commit errors. Error detection is thus an essential ability for robots to master to work efficientl…