unibimas/shift repository overview

⁠Adaptive Scaffolding in Robotic Explanation Generation

SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention and Understanding in Explanatory Tasks.

This computational model is a tool for researcher that want to generate adaptive scaffolding strategies based on the partner model of the human's explainee in explanatory dialogs.

The software is developed within the Transregional Collaborative Research Centre "Constructing Explainability" (TRR 318⁠). The main focus of the system is to support the work in interdisciplinary teams and to enable also non-computer scientists to create, discuss and generate adaptive scaffolding strategies for robots in human-robot-interaction.

After starting the docker container, the graphical-user-interface, the ros-server-endpoint and the computational model itself is running automatically.

docker pull unibimas/shift:latest
docker run -p 8080:8080 unibimas/shift:latest

To visit the GUI, open the prompted Link from the console in a Browser: e.g. http://localhost:8080⁠, http://172.18.0.2:8080⁠, or http://172.17.0.2:8080⁠, ... For a demonstration of the system, press the simulation button on the bottom right side inside the GUI.

⁠Documentation & Code

A full documentation is in development on: https://mas.pages.ub.uni-bielefeld.de/projects/sfb-trr318/a05/shift/⁠
The gitlab repository: https://gitlab.ub.uni-bielefeld.de/mas/projects/sfb-trr318/a05/shift⁠