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

Project Details

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.

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: €289,402.00

Fields of Science

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

Equipment

Projects

Research Output

Humans use Optokinetic Eye Movements to Track Waypoints for Steering

Lappi, O., Pekkanen, J., Rinkkala, P., Tuhkanen, S., Tuononen, A. & Virtanen, J-P., 6 Mar 2020, In : Scientific Reports. 10, 14 p., 4175.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Effects of an active visuomotor steering task on covert attention

Tuhkanen, S., Pekkanen, J., Lehtonen, E. & Lappi, O., 8 Aug 2019, In : Journal of Eye Movement Research. 12, 3, p. 1-19 19 p., 1.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Activities

  • 2 Public Talks
  • 1 Academic visit at UH
  • 1 Academic visit to other institution

BrAIn Seminar

Otto Lappi (Attendee)

15 Jan 2020

Activity: Participating in or organising an event typesPublic Talks

Callum Mole

Otto Lappi (Host)

6 Jul 201919 Jul 2019

Activity: Hosting a visitor typesAcademic visit at UH

AIX Forum: Tekoäly ja liikenne

Otto Lappi (Attendee)

4 Sep 2019

Activity: Participating in or organising an event typesPublic Talks