Vicarious Value Learning and Inference in Human-Human and Human-Robot Interaction

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


Among the biggest challenges for researchers of human-robot interaction is imbuing robots with lifelong learning capacities that allow efficient interactions between humans and robots. In order to address this challenge we are developing computational mechanisms for a humanoid robotic agent utilizing both system 1 and system 2-like cognitive processing capabilities. At the core of this processing is a Social Affective Appraisal model that allows for vicarious value learning and inference. Using a multi-dimensional reinforcement learning approach the robotic agent learns affective value-based functions (system 1). This learning can ground representations of affective relations (predicates) relevant to interacting agents. In this article we discuss the existing theoretical basis for developing our neural network model as a system 1-like process. We also discuss initial ideas for developing system 2-like top-down/generative affective (semantic relation-based) processing. The aim of the symbolic-connectionist architectural development is to promote autonomous capabilities in humanoid robots for interacting efficiently/intelligently (recombinant application of learned associations) with humans in changing and challenging environments.


External organisations
  • University of Gothenburg
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Robotics
  • Media and Communication Technology
Original languageEnglish
Title of host publication2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)978-1-7281-3891-6
ISBN (Print)978-1-7281-3892-3
Publication statusPublished - 2019
Publication categoryResearch
EventFirst International Workshop Social Emotions: Theories and Models - Cambridge, United Kingdom
Duration: 2019 Sep 32019 Sep 3


WorkshopFirst International Workshop Social Emotions
Abbreviated titleSE-THEMO 2019
CountryUnited Kingdom