TY - GEN
T1 - Six Challenges for Human-AI Co-learning
AU - van den Bosch, Karel
AU - Schoonderwoerd, Tjeerd
AU - Blankendaal, Romy
AU - Neerincx, Mark
PY - 2019
Y1 - 2019
N2 - The increasing use of ever-smarter AI-technology is changing the way individuals and teams learn and perform their tasks. In hybrid teams, people collaborate with artificially intelligent partners. To utilize the different strengths and weaknesses of human and artificial intelligence, a hybrid team should be designed upon the principles that foster successful human-machine learning and cooperation. The implementation of the identified principles sets a number of challenges. Machine agents should, just like humans, have mental models that contain information about the task context, their own role (self-awareness), and the role of others (theory of mind). Furthermore, agents should be able to express and clarify their mental states to partners. In this paper we identify six challenges for humans and machines to collaborate in an adaptive, dynamic and personalized fashion. Implications for research are discussed.
AB - The increasing use of ever-smarter AI-technology is changing the way individuals and teams learn and perform their tasks. In hybrid teams, people collaborate with artificially intelligent partners. To utilize the different strengths and weaknesses of human and artificial intelligence, a hybrid team should be designed upon the principles that foster successful human-machine learning and cooperation. The implementation of the identified principles sets a number of challenges. Machine agents should, just like humans, have mental models that contain information about the task context, their own role (self-awareness), and the role of others (theory of mind). Furthermore, agents should be able to express and clarify their mental states to partners. In this paper we identify six challenges for humans and machines to collaborate in an adaptive, dynamic and personalized fashion. Implications for research are discussed.
KW - Co-active learning
KW - Explainable AI
KW - Human-agent teaming
KW - Hybrid teams
KW - Mental model
KW - Theory of mind
UR - http://www.scopus.com/inward/record.url?scp=85069637830&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-22341-0_45
DO - 10.1007/978-3-030-22341-0_45
M3 - Conference contribution
AN - SCOPUS:85069637830
SN - 9783030223403
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 572
EP - 589
BT - Adaptive Instructional Systems - 1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
A2 - Sottilare, Robert A.
A2 - Schwarz, Jessica
PB - Springer
T2 - 1st International Conference on Adaptive Instructional Systems, AIS 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Y2 - 26 July 2019 through 31 July 2019
ER -