A Cognitive Mind-map Framework to Foster Trust

TL;DR

This paper introduces an explorative, adaptive mind-map framework that processes data incrementally and aims to foster trust in conversational partners by aligning with their understanding of the world.

Contribution

It proposes a novel cognitive mind-map framework as a decision support engine to enhance trust in human-computer interactions.

Findings

Mind-maps adapt dynamically to input signals.

Alignment with user knowledge increases trust.

Framework supports incremental data processing.

Abstract

The explorative mind-map is a dynamic framework, that emerges automatically from the input, it gets. It is unlike a verificative modeling system where existing (human) thoughts are placed and connected together. In this regard, explorative mind-maps change their size continuously, being adaptive with connectionist cells inside; mind-maps process data input incrementally and offer lots of possibilities to interact with the user through an appropriate communication interface. With respect to a cognitive motivated situation like a conversation between partners, mind-maps become interesting as they are able to process stimulating signals whenever they occur. If these signals are close to an own understanding of the world, then the conversational partner becomes automatically more trustful than if the signals do not or less match the own knowledge scheme. In this (position) paper, we therefore motivate explorative mind-maps as a cognitive engine and propose these as a decision support engine to foster trust.