Towards a cognitive approach to human-machine cooperation in dynamic situations
By Jean-Michel Hoc. Int. J. Hum. Comput. Stud., 2001
398 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Social Psychology
View Paper: https://www.semanticscholar.org/paper/47497336f4ec13f250a2ed427532499bc212007a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Social Psychology
- Sebastian Raisch
- Sebastian Krakowski
- John D. Lee
- Linda Ng Boyle
- René Amalberti
- Mahtab Ghazizadeh
- Germain Poizat
- Carole Sève
Citations in the corpus
- Team Coordination in Basketball: Description of the Cognitive Connections Among Teammates (2010, background): “Concepts to explain how cognitions are shared among team members include shared mental models (Cannon-Bowers, Salas, & Converse, 1993), team situation awareness (Stout, CannonBowers, & Salas, 1996), and a common frame of reference (Hoc, 2001).”
- Cognitive Control Dynamics for Reaching a Satisficing Performance in Complex Dynamic Situations (2007, background): “48 Journal of Cognitive Engineering and Decision Making / Spring 2007 Methodological Implications The theoretical stakes developed in this paper have their corresponding methodological empirical evidence to support it, without reliable methods it would be very difficult to make progress in this prom”
- Extending the Technology Acceptance Model to assess automation (2011, background): “…dealt with agent-like automation in areas such as traffic safety, where drivers are less likely to accept automation that restricts 44 Cogn Tech Work (2012) 14:39–49 their control, unless effective communication is established between the automation and the driver (Hoc 2001; Inagaki et al. 2008).”
- Recognition Within the Decision-Making Process: A Case Study of Expert Volleyball Players (2009, neutral): “It could be compared to the Common Frame Of Reference (COFOR) developed by Hoc (2001).”
- Artificial Intelligence and Management: The Automation–Augmentation Paradox (2020, methodology): “By switching, the machine ’ s independent output can be used to challenge human intuition and judgment, with human feed-back enabling further rounds of machine analysis (Hoc, 2001).”