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One popular application domain for Augmented Reality (AR) technology is facilitating human-building interactions (HBI). Such applications help users to retrieve and transact information through localized interaction points displayed on their (mobile) devices. Growing adoption of AR technology underlines the importance of incorporating suitable AR components for HBI, which is important for effective implementation and testing of HBI-AR use cases, increasing user satisfaction, and long-term viability. In this context, our short paper presents key experiences and lessons learned from an applied science project targeting the development and evaluation of an HBI-AR university campus app. Drawing on an ex-post inquiry of project collaborator experiences, we prescriptively highlight relevant AR solution requirements for this specific design context. Our findings amplify the importance of (1) balancing trade-offs between different spatial embedding computation methods, (2) modularity, customizability, and testability for efficient software development, and (3) taking building complexity and prototype maturity requirements into account when taking AR solution make-or-buy decisions. Our shared insights may inform future best practices and design principles for convergent HBI and AR projects in research and practice.

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Augmented Reality Solution Requirements for Human-Building Interactions: Lessons Learned from an Applied Science Project

  • 会议论文

  • 发表日期：

    2026年

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  • Lukas R. G. Fitz,
  • Lukas D. Teutenberg,
  • Ekaterina Veldyaeva,
  • Jochen Scheeg

摘要

One popular application domain for Augmented Reality (AR) technology is facilitating human-building interactions (HBI). Such applications help users to retrieve and transact information through localized interaction points displayed on their (mobile) devices. Growing adoption of AR technology underlines the importance of incorporating suitable AR components for HBI, which is important for effective implementation and testing of HBI-AR use cases, increasing user satisfaction, and long-term viability. In this context, our short paper presents key experiences and lessons learned from an applied science project targeting the development and evaluation of an HBI-AR university campus app. Drawing on an ex-post inquiry of project collaborator experiences, we prescriptively highlight relevant AR solution requirements for this specific design context. Our findings amplify the importance of (1) balancing trade-offs between different spatial embedding computation methods, (2) modularity, customizability, and testability for efficient software development, and (3) taking building complexity and prototype maturity requirements into account when taking AR solution make-or-buy decisions. Our shared insights may inform future best practices and design principles for convergent HBI and AR projects in research and practice.