ArXiv TLDR

Neurodiversity and Technostress: Towards a Multimodal Research Design for Evaluating Subjective, Physiological, and Behavioral Responses

🐦 Tweet
2604.21404

Lisa van den Heuvel, Igor Ivkić, René Riedl

cs.HCcs.CY

TLDR

This paper proposes a multimodal research design to evaluate technostress in neurodivergent and neurotypical individuals using subjective, physiological, and behavioral measures.

Key contributions

  • Proposes a controlled experimental design for technostress research.
  • Compares neurodivergent and neurotypical individuals under standardized digital stress.
  • Integrates subjective perceptions, physiological activation, and observable behavior measurements.
  • Utilizes both structured and unstructured digital tasks.

Why it matters

This paper is crucial for understanding how digital technology impacts neurodivergent individuals, a group often overlooked in technostress research. It provides a robust methodological framework for designing more inclusive digital work environments, fostering better well-being for all.

Original Abstract

Digitalization has transformed modern work by increasing efficiency while also introducing new forms of strain. Technostress (TS) describes subjective, physiological, and behavioral stress responses related to digital technology use. Existing TS research has predominantly focused on neurotypical populations and rarely integrates multiple stress dimensions within a single design. This paper addresses these gaps by proposing a controlled experimental research design that systematically compares neurodivergent and neurotypical individuals under standardized digital stress conditions. The proposed design combines structured and unstructured digital tasks with a multimodal measurement approach covering subjective perceptions, physiological activation, and observable interaction behavior. By integrating neurodiversity into TS research, the paper contributes to a more differentiated understanding of digital stress and provides a methodological approach for more inclusive digital work design.

📬 Weekly AI Paper Digest

Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.