Assessing intelligence in office buildings at early design stage
Purpose The conceptualization of intelligence in buildings has been evolving; however, it remains fragmented with no agreed-upon definition. Current assessment methods are typically retrospective and exhibit limitations. This study aims to address this gap by proposing a new assessment approach based on intelligent design features at early design stages and the Intelligence Assessment Tool for Office Buildings (IATOB). Design/methodology/approach Salient intelligent design features were identified through a systematic literature review and validated by international experts via a pilot study. Sixty-three geographically distributed Built Environment professionals evaluated these features through a questionnaire survey. The data was analyzed using one-sample t-test for statistical significance. Based on the empirical findings, the IATOB was developed and validated through three real-world Intelligent Office Buildings (IOBs) in different countries. Findings The professionals' insights align with the identified IB design features, thereby confirming the validity of an early-stage assessment approach. In practice, IATOB facilitates context-specific adaptation, allowing designers to tailor design solutions to specific regional contexts and rethink design alternatives to enhance building intelligence. Originality/value This study advances the existing body of knowledge by providing a nuanced understanding of IOBs and introduces a novel assessment approach for IOBs by shifting the intelligence assessment from post-performance indicators to intelligent design features during early design stages. International experts validated the proposed approach through real-world IOBs. The approach serves as a foundation for future IOB practices and potential building intelligence assessment schemes.
Authors
- Güzide Atasoy (ORCID: https://orcid.org/0000-0003-0512-9279)
- İrem Dikmen (ORCID: https://orcid.org/0000-0002-6988-7557)
- Handan Gündoğan
Institutions
- Middle East Technical University (TR)
- University of Salford (GB)
- University of Reading (GB)
Publication Details
- Journal
- Smart and Sustainable Built Environment
- Published
- 2026-06-25
- DOI
- https://doi.org/10.1108/sasbe-10-2025-0672
- Primary Topic
- BIM and Construction Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00