The student Oscar Escallada López obtained an EXCELLENT CUM LAUDE

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The student Oscar Escallada López obtained an EXCELLENT CUM LAUDE

THESIS

The student Oscar Escallada López obtained an EXCELLENT CUM LAUDE

2025·07·14

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  • Thesis title: Modelo de evaluación de la Interacción Persona – Realidad Extendida en entornos Industriales: ITPX-XR

Court:

  • Presidency: Iván Lidón López (Universidad de Zaragoza)
  • Vocal: Aiur Retegi Uria (Universidad de Deusto)
  • Secretary: Virginia Ruiz Garate (Mondragon Unibertsitatea)

Abstract:

Extended Reality (XR) is becoming established as a key technology in industrial environments to optimize processes, strengthen workforce training, and enhance competitiveness. In the transition toward Industry 5.0, the human factor gains particular importance: XR solutions must not only be technically robust but also respond to the needs and limitations of operators.

In order to understand this phenomenom, a systematic literature review was conducted, which highlighted the lack of models adapted to the industrial sector that could comprehensively address cognitive, physiological, and contextual aspects. To fill this gap, this research presents the ITPX-XR model (Individual Task Performance eXperience – eXtended Reality), which merges a human-centered design approach with performance evaluations in real production scenarios.

The model integrates both pragmatic criteria (efficiency, ergonomics, ease of learning) and hedonic factors (motivation, satisfaction, immersion), and introduces three key methodological contributions:

  • The HeurXtics heuristic tool, which facilitates expert review of XR environments by identifying design shortcomings in terms of safety, ergonomics, and multimodality.
  • The XRUX Map, a conceptual framework that organizes the main dimensions of the XR user experience, offering a structured overview of key evaluation elements.
  • A user evaluation process that combines performance indicators (time, errors), physiological response measurements (eye tracking, heart rate), and user perception indicators.

Three case studies validate this approach through three analysis phases: (i) a pre-evaluation phase, where HeurXtics identifies initial usability barriers, (ii) real-time tracking of performance and physiological indicators, and (iii) a post-evaluation phase focused on user perception. The results confirm the effectiveness of ITPX-XR in diagnosing and optimizing Human–XR Interaction (HXRI) by anticipating design improvements and guiding the development of solutions better aligned with users’ capabilities, limitations, and expectations.

Finally, this thesis provides an in-depth account of the foundations of ITPX-XR, the implementation of the XRUX Map, and the use of HeurXtics, along with the measurements and discussion of results. It also outlines future research directions focused on the incorporation of advanced haptic technologies, continuous evaluations via AI, and the expansion of accessibility and personalization criteria. In this way, ITPX-XR is positioned as a reference framework for the effective adoption of XR in industry, balancing innovation with user well-being.