2 citations · 4 across the 5 of their papers we have counts for
5 papers
Vision language models have difficulty recognizing virtual objects
Tyler Tran, Sangeet Khemlani, J. G. Trafton
Vision language models (VLMs) are AI systems paired with both language and vision encoders to process multimodal input. They are capable of performing complex semantic tasks such a…
Vision language models are unreliable at trivial spatial cognition
Sangeet Khemlani, Tyler Tran, Nathaniel Gyory +6
Vision language models (VLMs) are designed to extract relevant visuospatial information from images. Some research suggests that VLMs can exhibit humanlike scene understanding, whi…
The Perceived Danger (PD) Scale: Development and Validation
Jaclyn Molan, Laura Saad, Eileen Roesler +3
There are currently no psychometrically valid tools to measure the perceived danger of robots. To fill this gap, we provided a definition of perceived danger and developed and vali…
Connection-Coordination Rapport (CCR) Scale: A Dual-Factor Scale to Measure Human-Robot Rapport
Ting-Han Lin, Hannah Dinner, Tsz Long Leung +3
Robots, particularly in service and companionship roles, must develop positive relationships with people they interact with regularly to be successful. These positive human-robot r…
2nd Workshop on Cognitive Architectures for Social Human-Robot Interaction 2016 (CogArch4sHRI 2016)
Paul Baxter, J. Gregory Trafton, Severin Lemaignan
This volume is the proceedings of the 2nd workshop on Cognitive Architectures for Social Human-Robot Interaction, held at the ACM/IEEE HRI 2016 conference, which took place on Mond…