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XR for Shared Situation Awareness: Design Thinking and Industrial Application

Research output: ThesisMaster's thesis

Abstract

In automation-intensive industrial environments, maintaining shared situation
awareness across mixed fleets of human and machine agents presents a complex
design challenge. Effective solutions must be cognitively grounded, role-sensi-
tive, and aligned with socio-technical constraints. This thesis addresses this chal-
lenge by developing a design thinking framework through a design science re-
search process to guide the development of extended reality applications for sup-
porting situation awareness. The framework integrates theories of individual,
shared, and distributed situation awareness with a life-based design approach to
ensure alignment with users’ cognitive capacities, roles, and operational contexts.
Empirical material from the intralogistics domain informed the development of
the framework by providing insights into challenges related to situation aware-
ness and contextual constraints in mixed fleet operations. These findings were
translated, through the structuring logic of life-based design, into concept-level
interventions and narrative scenarios that illustrate how extended reality can
structure and deliver situation-relevant information in complex operational con-
texts. The resulting framework offers structured guidance for designing solutions
that are cognitively appropriate and contextually compatible for supporting sit-
uation awareness in human–technology collaboration. While developed in the
context of intralogistics, the framework is intended to be applicable to other au-
tomation-intensive domains where coordination between human and machine
agents is critical. The study provides a theoretically grounded and empirically
informed foundation for both future research and the design of extended reality–
based support systems in complex socio-technical environments.
Original languageEnglish
QualificationMaster Degree
Awarding Institution
  • University of Jyväskylä
Supervisors/Advisors
  • Cañas-Bajo, José, Supervisor, External person
Award date5 Jun 2025
Publisher
Publication statusPublished - 5 Jun 2025
MoE publication typeG2 Master's thesis, polytechnic Master's thesis

Funding

The empirical part of this study—the in-depth thematic interviews, the focus group interviews, Life-Based Design analysis, and scenario development—was funded by Business Finland, VTT and participating consortium partners in MixedFleet - "Shared Situational Awareness for Optimized and Safe Mixed Fleets" project.

Keywords

  • situation awareness
  • shared situation awareness
  • distributed situation awareness
  • extended reality
  • human-machine collaboration
  • design thinking
  • life-based design

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