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TwIndex: a framework for measuring the (hidden) value of digital twins by mapping atypical interaction patterns

conference contribution
posted on 2025-07-21, 10:29 authored by Mareike Victoria Keil, Julius Umsonst, Andrew PeckAndrew Peck
<p dir="ltr">Despite the growing adoption of digital twins (DTs) across multiple domains, assessing their true value remains a complex challenge. Traditional valuation methods often focus on direct efficiency gains, overlooking potential benefits arising from diverse and atypical usage patterns. This vision paper introduces TwIndex, a conceptual framework that aims to explore new ways to quantify the value of DTs by analyzing interaction patterns beyond traditional metrics. We propose that neurodivergent and neurotypical users may engage with DTs in fundamentally different ways, revealing latent benefits that have yet to be systematically explored and mapping to vulnerabilities not apparent at the design phase. By exploring atypical interaction patterns, future research can uncover hidden dimensions of value and lead to more adaptive evaluation methods. This paper highlights the need for a paradigm shift in measuring the success of DTs and argues for a broader perspective in assessing their impact.</p>

History

School

  • Science

Department

  • Computer Science

Published in

2025 IEEE Smart World Congress (SWC)

Source

IEEE SmartWorld Congress 2025

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Acceptance date

2025-06-01

ISSN

2471-2299

eISSN

2993-396X

Language

  • en

Location

Calgary, Alberta, Canada

Event dates

18th August 2025 - 22nd August 2025

Depositor

Andrew Peck. Deposit date: 14 July 2025

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