Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nicholas Rabb"'
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-29 (2023)
Abstract The degree of polarization in many societies has become a pressing concern in media studies. Typically, it is argued that the internet and social media have created more media producers than ever before, allowing individual, biased media con
Externí odkaz:
https://doaj.org/article/9f1a8fc54b824de186e3eeddee80a80d
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0261811 (2022)
Understanding the spread of false or dangerous beliefs-often called misinformation or disinformation-through a population has never seemed so urgent. Network science researchers have often taken a page from epidemiologists, and modeled the spread of
Externí odkaz:
https://doaj.org/article/655f40d1d8cb4149ab814d6d5933d53b
Publikováno v:
ACM Transactions on Human-Robot Interaction. 11:1-18
Potential applications of robots in private and public human spaces have prompted the design of so-called “social robots” that can interact with humans in social settings and potentially cause humans to attach to the robots. The focus of this art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7be3155862a14df2532edf5a5ad4ed33
https://doi.org/10.1145/3526105
https://doi.org/10.1145/3526105
Autor:
Nicholas Rabb, Lenore Cowen
Publikováno v:
Complex Networks and Their Applications XI ISBN: 9783031211263
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2650b6e9ad9ffd20c48051be8754989c
https://doi.org/10.1007/978-3-031-21127-0_1
https://doi.org/10.1007/978-3-031-21127-0_1
Publikováno v:
Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction.
Trust in human-robot interactions (HRI) is measured in two main ways: through subjective questionnaires and through behavioral tasks. To optimize measurements of trust through questionnaires, the field of HRI faces two challenges: the development of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75220df2d0f6da4c356b09ceef26551d
https://doi.org/10.1145/3434073.3444677
https://doi.org/10.1145/3434073.3444677
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0261811 (2022)
PLoS ONE
PLoS ONE
Understanding the spread of false or dangerous beliefs—often called misinformation or disinformation—through a population has never seemed so urgent. Network science researchers have often taken a page from epidemiologists, and modeled the spread
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0005c9bd7613ee87fd6127bd21dc2257