Implicit learning

    Pursuit-Tracking

    Decide

    Hot Hand

    Predicition in Sports

    Sampling

    Option generation

    Sport in Schools

    Diagnostics in Sport

Ph.D. Students

Andre Arnold

Klaus Gärtner

Nele Tielemann

The main focus of the research program is on the behavioral level (with some interest in neuropsychological research, see DECIDE and Simulations) and is two-folded:

First: Motor Learning and Motor Control (including interests in implicit/explicit learning, feedback and instruction, sensorimotor integration in pursuit tracking, catching)

Second: Judgment and Decision Making in Sports (including dynamic models of Simple heuristics, Decision Field Theory, sampling, predicting sport outcomes, option generation

  Novel analyses of decision-making processes in real, complex environments

• Collaborators: Dr. Joe Johnson (Indiana University)

Most broadly, the goal of this project is to gain a better understanding of individuals’ decision-making processes under various task constraints. This project will focus on the use of a modeling methodology which is based on established theory but introduces novel techniques. This methodology will be applied to a specific task structure initially, to understand how various contextual (task, environment, situation, etc.) and individual (personality, goals, etc.) factors influence decision making processes under various circumstances. In particular, we use a computational model to capture the deliberation process in ill-defined situations (those with no objectively-correct solution) under stress and time pressure. By incorporating computational models from the judgment and decision making (JDM) literature with the task domains of sport science, there is mutual benefit to both fields. Models successful in “traditional” JDM tasks are applied to (sports) domains characterized by their complexity, formal structure, dynamic property, natural setting, and expert participants with intense involvement and self-motivation. For sport science, this approach provides a rigorous framework to formalize existing theories and develop/test new hypotheses. Furthermore, our research project will provide insights into decision-making that can also be extended to other situations. For example, the characteristics of sports tasks and the athletes who perform them (e.g., stress, emotional involvement, risk taking, varying expertise, time pressure) also describe other domains, such as military decisions or fighting fires.

Read the complete proposal here (.pdf)

 Implicit learning in movements and decisions in sports

Compare effects of implicit and explicit learning of movements when simultaneous decisions have to be made.

• Collaborators: Rich Masters and Jon Maxwell (Hongkong University), Felix Ehrlenspiel (University of Potsdam)

 Pursuit-Tracking

Show the adaptive use of different sensorimotor processes dependent on cues available (also dual task conditions)

• Collaborators: R. A. Magill (Louisiana State University), Jörg Schorer and Mathias Hegele (University of Heidelberg)

 Decide

fMRI Study on decision making in noncompensatory and compensatory environments to explore different activations for decision in uncertainty decisions using simple heuristics such as recognition. Two pilot studies at ABC and two pilot studies at MPI Leipzig for Neuropsychological Research are done.

• Collaborators: Gerd Gigerenzer (Max Planck Institute for Human Development, Berlin) and von Crammon, Volz and Schubotz (MPI for Neuroscience. Leipzig)

 Hot Hand

Demonstrate in which environment the belief in the hot hand is adaptive and in which it is not by analysis of real allocation data, experiment, and simulation. Write-up

• Collaborators: Gerd Gigerenzer, Bartosz Gula (Graz/Austria)

 Prediction in Sports

Show that simple prediction models in sports can outperform the ones used in sports to predict sport game outcomes by analysis game outcomes in tournaments (e.g. Olympics) or leagues (NFL; NBA; German soccer league). Data analysis done, simulations this summer

• Collaborators: Gerd Gigerenzer, Christian Groeschner (FU Berlin)

 Sampling

Compare preference and accuracy of decisions when participants can choose between natural, predictor, or criterion sampling. One experiment at ABC finished, one planned for Heidelberg this spring.

• Collaborators: Ulrich Hoffrage (Max Planck Institute for Human Development), Henning Plessner (University Heidelberg)

  Option Generation in Sports

Show processes of option-generations in decision making in sports (less-is-more effect)

• Collaborators: Joe Johnson (Indiana University)

 Sport in Schools

Evaluate intervention programs in schools to enhance cross curricula competences as well as sport specific goals

• Collaborators: Nele Tielemann, Oliver Bluhm

  Diagnostics in Sports

Diagnostics of handball strategies

• Collaborators: Deutscher Handball Bund, SG Flensburg-Handewitt, TSV Owschlag