Human-Machine Task Allocation in Learning Reciprocally to Solve Problems

Dov Te’eni

doi:10.1007/978-3-031-49215-0_9

Human-Machine Task Allocation in Learning Reciprocally to Solve Problems

Dov Te’eni

Tel Aviv University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Solving problems by human-AI configurations will likely become a pervasive practice. Traditional models of task allocation between human and machine must be revisited in light of the differences in the learning of humans versus intelligent machines; performance can no longer be the sole criterion for task allocation. We offer a new procedure for allocating tasks dynamically that begins with the determination of the desired level of machine autonomy.

Original language	English
Title of host publication	HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings
Editors	Constantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	65-77
Number of pages	13
ISBN (Print)	9783031492143
DOIs	https://doi.org/10.1007/978-3-031-49215-0_9
State	Published - 2024
Externally published	Yes
Event	25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Name	Communications in Computer and Information Science
Volume	1958 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	25th International Conference on Human-Computer Interaction, HCII 2023
Country/Territory	Denmark
City	Copenhagen
Period	23/07/23 → 28/07/23

Bibliographical note

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Human-machine collaboration
Human-machine interaction
Learning
Machine learning
Reciprocity
Task allocation

Access to Document

10.1007/978-3-031-49215-0_9

Cite this

Te’eni, D. (2024). Human-Machine Task Allocation in Learning Reciprocally to Solve Problems. In C. Stephanidis, M. Antona, S. Ntoa, & G. Salvendy (Eds.), HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings (pp. 65-77). (Communications in Computer and Information Science; Vol. 1958 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-49215-0_9

Te’eni, Dov. / Human-Machine Task Allocation in Learning Reciprocally to Solve Problems. HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. editor / Constantine Stephanidis ; Margherita Antona ; Stavroula Ntoa ; Gavriel Salvendy. Springer Science and Business Media Deutschland GmbH, 2024. pp. 65-77 (Communications in Computer and Information Science).

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Te’eni, D 2024, Human-Machine Task Allocation in Learning Reciprocally to Solve Problems. in C Stephanidis, M Antona, S Ntoa & G Salvendy (eds), HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Communications in Computer and Information Science, vol. 1958 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 65-77, 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, 23/07/23. https://doi.org/10.1007/978-3-031-49215-0_9

Human-Machine Task Allocation in Learning Reciprocally to Solve Problems. / Te’eni, Dov.
HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. ed. / Constantine Stephanidis; Margherita Antona; Stavroula Ntoa; Gavriel Salvendy. Springer Science and Business Media Deutschland GmbH, 2024. p. 65-77 (Communications in Computer and Information Science; Vol. 1958 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Te’eni D. Human-Machine Task Allocation in Learning Reciprocally to Solve Problems. In Stephanidis C, Antona M, Ntoa S, Salvendy G, editors, HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 65-77. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-49215-0_9

Human-Machine Task Allocation in Learning Reciprocally to Solve Problems

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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