Three Challenges in Utilizing Machine Learning to Predict Human Behavior from Observational Data

Author:

Manzini Thomas1ORCID,Perali Priyankari2ORCID,Murphy Robin R.1ORCID

Affiliation:

1. Texas A&M University, College Station, TX, USA

2. Texas A&M University, College Statiion, TX, USA

Funder

National Science Foundation

Publisher

ACM

Reference9 articles.

1. Resolving Conflicts During Human-Robot Co-Manipulation

2. Ron Artstein. 2017. Inter-annotator agreement. Handbook of linguistic annotation (2017), 297--313.

3. Human–robot interaction in industrial collaborative robotics: a literature review of the decade 2008–2017

4. Coordinating human-robot teams with dynamic and stochastic task proficiencies;Liu Ruisen;ACM Transactions on Human-Robot Interaction (THRI),2021

5. Atif Mohammed Ashraf, Changwon Son, S Camille Peres, and Farzan Sasangohar. 2021. Navigating operating procedures in everyday work in a petrochemical facility: A comparative analysis of WAI and WAD. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 65. SAGE Publications Sage CA: Los Angeles, CA, 623--627.

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