Human Performance in Complex Dynamic Tasks - A Unified Predictive Processing Approach

Project Details

Description (abstract)

Humans are very efficient in many complex dynamic tasks. Apparently easy and simple activities like picking a cup, walking in a crowd or driving are in fact underpinned by sophisticated information processing, of which we are not usually aware. This it is starkly revealed in artificial intelligence and robotics, and humans still vastly outperform computers on such sensorimotor tasks. This suggests techniques for organizing perception and action discovered by the human brain during development and evolution that could be highly valuable to the development of future AI.
We develop a unified computational model of visual target interception and avoidance - a core human sensorimotor capacity. More life-like robotics, autonomous vehicles, aerospace pilot and driver training, and sports psychology are applications of such knowledge. The fundamental interest lies in the revealing the ways our brain allows us to interact with complex dynamic situations so efficiently and effortlessly.

Layman's description

Humans are very efficient in many complex dynamic tasks. Apparently easy and simple activities like picking a cup, walking in a crowd or driving are in fact underpinned by sophisticated information processing, of which we are not usually aware. This it is starkly revealed in artificial intelligence and robotics, and humans still vastly outperform computers on such sensorimotor tasks. This suggests techniques for organizing perception and action discovered by the human brain during development and evolution that could be highly valuable to the development of future AI.
We develop a unified computational model of visual target interception and avoidance - a core human sensorimotor capacity. More life-like robotics, autonomous vehicles, aerospace pilot and driver training, and sports psychology are applications of such knowledge. The fundamental interest lies in the revealing the ways our brain allows us to interact with complex dynamic situations so efficiently and effortlessly.
AcronymUPP-PERFORMANCE
StatusActive
Effective start/end date01/09/201931/08/2023

Funding

  • Academy of Finland

Fields of Science

  • 6162 Cognitive science
  • Predictive processing
  • Bayesian estimation
  • Eye Tracking
  • Virtual Reality
  • Dynamic tasks
  • Perception
  • Action
  • Cognition
  • BrAIn Seminar

    Otto Lappi (Attendee)

    15 Jan 2020

    Activity: Participating in or organising an event typesPublic Talks

  • University of Aberdeen

    Otto Lappi (Visiting researcher)

    18 Nov 201922 Nov 2019

    Activity: Visiting an external institution typesAcademic visit to other institution

  • Callum Mole

    Otto Lappi (Host)

    6 Jul 201919 Jul 2019

    Activity: Hosting a visitor typesAcademic visit at UH