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Phoebe Liu

Dados Biográficos

ID4435582
NOMEPhoebe Liu
PRENOMESPhoebe
SOBRENOMELiu
ASSINATURALIU P
AFILIAÇÕESUniversity of Sheffield
ORCID0000-0003-3582-5267
VERIFICADOSim
TOTAL DE OBRAS5
TOTAL DE CITAÇÕES4
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2016
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • The origins of animal traction in Britain

    Open Access•Phoebe Liu, U Albarella•ARTICLE•Archaeological and Anthropological…•2026•Referências: 48

    Animal traction is one of the key technological innovations that drove socioeconomic transformations in prehistoric societies. However, its emergence in Britain has remained poorly understood, mainly due to the limited preservation of physical evidence and the absence of iconographic representations associated with animal traction. Given the fragmented artefactual evidence, the osteological approach is the most promising method for advancing unde…

  • Spavin in modern and archaeological cattle

    Open Access•Phoebe Liu, Lenny Salvagno et al.•ARTICLE•International Journal of…•2025

    OBJECTIVE: To investigate the correlations of biological factors, including age, body size, and sex, with the occurrence of spavin, demonstrating that using spavin to indicate cattle use for draught work from archaeological sites is questionable. MATERIALS: Metatarsals from 126 modern non-draught cattle kept under similar conditions, along with published data of 18 draught oxen. RESULTS: This study demonstrates that spavin strongly correlates wit…

  • In search of draught cattle

    Open Access•Phoebe Liu, Lenny Salvagno et al.•ARTICLE•Journal of Archaeological Science•2025•Citada por: 2•Referências: 4

  • Curiosity Did Not Kill the Robot

    Open Access•Malcolm Doering, Phoebe Liu et al.•ARTICLE•ACM Transactions on Human-Robot…•2019•Citada por: 1•Referências: 7

    Learning from human interaction data is a promising approach for developing robot interaction logic, but behaviors learned only from offline data simply represent the most frequent interaction patterns in the training data, without any adaptation for individual differences. We developed a robot that incorporates both data-driven and interactive learning. Our robot first learns high-level dialog and spatial behavior patterns from offline examples …

  • A Model for Generating Socially-Appropriate Deictic Behaviors Towards People

    Open Access•Phoebe Liu, Dylan F Glas et al.•ARTICLE•International Journal of Social…•2016•Citada por: 1•Referências: 10

  • In search of draught cattle

    Open Access•Phoebe Liu, Lenny Salvagno et al.•ARTICLE•Journal of Archaeological Science•2025•Citada por: 2•Referências: 4

  • Curiosity Did Not Kill the Robot

    Open Access•Malcolm Doering, Phoebe Liu et al.•ARTICLE•ACM Transactions on Human-Robot…•2019•Citada por: 1•Referências: 7

    Learning from human interaction data is a promising approach for developing robot interaction logic, but behaviors learned only from offline data simply represent the most frequent interaction patterns in the training data, without any adaptation for individual differences. We developed a robot that incorporates both data-driven and interactive learning. Our robot first learns high-level dialog and spatial behavior patterns from offline examples …

  • A Model for Generating Socially-Appropriate Deictic Behaviors Towards People

    Open Access•Phoebe Liu, Dylan F Glas et al.•ARTICLE•International Journal of Social…•2016•Citada por: 1•Referências: 10

  • A Model for Generating Socially-Appropriate Deictic Behaviors Towards People

    Open Access•Phoebe Liu, Dylan F Glas et al.•ARTICLE•International Journal of Social…•2016•Citada por: 1•Referências: 10

  • Curiosity Did Not Kill the Robot

    Open Access•Malcolm Doering, Phoebe Liu et al.•ARTICLE•ACM Transactions on Human-Robot…•2019•Citada por: 1•Referências: 7

    Learning from human interaction data is a promising approach for developing robot interaction logic, but behaviors learned only from offline data simply represent the most frequent interaction patterns in the training data, without any adaptation for individual differences. We developed a robot that incorporates both data-driven and interactive learning. Our robot first learns high-level dialog and spatial behavior patterns from offline examples …

  • Spavin in modern and archaeological cattle

    Open Access•Phoebe Liu, Lenny Salvagno et al.•ARTICLE•International Journal of…•2025

    OBJECTIVE: To investigate the correlations of biological factors, including age, body size, and sex, with the occurrence of spavin, demonstrating that using spavin to indicate cattle use for draught work from archaeological sites is questionable. MATERIALS: Metatarsals from 126 modern non-draught cattle kept under similar conditions, along with published data of 18 draught oxen. RESULTS: This study demonstrates that spavin strongly correlates wit…

  • In search of draught cattle

    Open Access•Phoebe Liu, Lenny Salvagno et al.•ARTICLE•Journal of Archaeological Science•2025•Citada por: 2•Referências: 4

  • The origins of animal traction in Britain

    Open Access•Phoebe Liu, U Albarella•ARTICLE•Archaeological and Anthropological…•2026•Referências: 48

    Animal traction is one of the key technological innovations that drove socioeconomic transformations in prehistoric societies. However, its emergence in Britain has remained poorly understood, mainly due to the limited preservation of physical evidence and the absence of iconographic representations associated with animal traction. Given the fragmented artefactual evidence, the osteological approach is the most promising method for advancing unde…

Archaeology and ancient environmental studies (2 obras) · Artificial Intelligence (2 obras) · Biology (2 obras) · Computer Science (2 obras) · Geography (2 obras) · Human–computer interaction (2 obras) · Pleistocene-Era Hominins and Archaeology (2 obras) · Psychology (2 obras) · Robot (2 obras) · Social Robot Interaction and HRI (2 obras)

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