The Social Robotics Journal Club
The goal of the Social Robots Journal Club is to discuss recent articles in the field of human-robot interaction (HRI). We will read and dissect papers from a wide range of HRI topics, from the perception of artificial agents, to the beliefs and experiences of human agents, to (non)shared neural representation mediating interaction with our robotic friends and much more. We discuss controversies, common ground and ultimately how the article contribute to our understanding of the mechanisms and consequences of attributing socialness to artificial agents. Every week we will discuss one article in an informal setting. Attendees are encouraged to share their own opinions and perspective on the article. The journal club is open to everyone interested, staff and students. For more information please contact Ruud Hortensius.
The 2017 Summer Tour
Article: Özdem C et al (2016). Believing androids - fMRI activation in the right temporo-parietal junction is modulated by ascribing intentions to non-human agents. Social Neuroscience, 7, 1–12. http://doi.org/10.1080/17470919.2016.1207702
No meeting. Social Robotics Workshop at Bangor!
Article: Broadbent E(2017). Interactions With Robots: The Truths We Reveal About Ourselves. Annual Review of Psychology, 68:627–652.
Article: Wykowska A, Chaminade T, Cheng G (2016). Embodied artificial agents for understanding human social cognition. Philosophical Transactions of the Royal Society B: Biological Sciences, 371:20150375.
Article: Hamacher A, Bianchi-Berthouze N, Pipe AG & Eder K. (2016). Believing in BERT: Using expressive communication to enhance trust and counteract operational error in physical Human-Robot Interaction. In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), (pp. 493-500) . IEEE.
Article: Lee, K. M., Jung, Y., Kim, J., & Kim, S. R. (2006). Are physically embodied social agents better than disembodied social agents?: The effects of physical embodiment, tactile interaction, and people's loneliness in human–robot interaction. International Journal of Human-Computer Studies, 64(10), 962-973.