DREAMS: Modelling Support for Research into Engineering and Artistic Design

TL;DR

DREAMS is a prototype tool that supports systematic DRM modelling by enabling easier creation, maintenance, and retrieval of complex causal models with attached evidence, reducing effort and clutter.

Contribution

This paper introduces DREAMS, a novel environment that automates and streamlines DRM Reference and Impact Model construction and management.

Findings

Reduces model creation and revision time.

Decreases effort in repositioning and managing model complexity.

Improves traceability and evidence retrieval efficiency.

Abstract

Design Research Methodology (DRM) supports systematic design research through representations such as Reference Models and Impact Models. However, the practical construction and maintenance of these models often remains manual, requiring repeated redrawing, layout adjustment, and separate handling of assumptions, references, and supporting evidence. This can make DRM modelling time-consuming, visually cluttered, and difficult to revise as models increase in complexity. This paper presents DREAMS, an early-stage prototype modelling environment developed to support the creation and maintenance of DRM Reference Models and Impact Models. The tool enables users to construct typed causal models using DRM-relevant elements, define signed causal relationships, and attach assumptions, experiential inputs, and references directly to causal links. It also provides layout support and search functions to improve readability, modifiability, and retrieval of supporting information. A preliminary comparative evaluation with four DRM users was conducted against manual modelling practice. The results indicate reductions in model creation time, revision time, repositioning effort, edge crossings, and evidence retrieval time when using DREAMS. These findings are interpreted as early evidence of practical potential rather than full validation. The contribution of the paper lies in identifying requirements for DRM-aligned modelling support, presenting the design and implementation of DREAMS, and demonstrating its potential to reduce modelling effort and improve traceability in DRM-based research.