A Longitudinal Study of Trust Calibration Methods with Individual Differences

Project Member(s): Zhou, J., Chen, F., Yu, K.

Funding or Partner Organisation: Asian Office of Aerospace R&D (Asian Office of Aerospace Research & Development)
Asian Office of Aerospace R&D (Asian Office of Aerospace Research & Development)

Start year: 2019

Publications:

Zhou, J, Zogan, H, Yang, S, Jameel, S, Xu, G & Chen, F 2020, 'Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia', IEEE Transactions on Computational Social Systems, pp. 1-10.
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Zhou, J & Chen, F 1970, 'Towards Trustworthy Human-AI Teaming under Uncertainty', Proceedings of the IJCAI Workshop on Explainable Artificial Intelligence, IJCAI Workshop on Explainable AI, Macau, China, pp. 143-147.

Zhou, J, Hu, H, Li, Z, Yu, K & Chen, F 1970, 'Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Springer International Publishing, Canterbury, UK, pp. 94-113.
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FOR Codes: Pattern Recognition and Data Mining, Information Services not elsewhere classified, Data mining and knowledge discovery, Information services

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.