This study presents an integrated indoor air quality index (IAQI) algorithm aimed at enhancing the efficiency of indoor air quality management in diverse indoor environments. The proposed IAQI accounts for the combined effects of multiple pollutants, offering a more comprehensive approach than traditional concentrationbased methods. Findings from four exposure scenarios and probabilistic health risk assessments indicate that the IAQI can be tailored to reflect occupant characteristics and space usage, thereby providing improved protection for sensitive populations, such as newborns. The application of occupant-specific criteria led to reductions in pollutant concentrations and associated health risks compared to conventional standards. Furthermore, the IAQI incorporates correction factors and weighted adjustments, facilitating robust risk assessments in complex multi-pollutant contexts. By addressing the limitations of single-pollutant management, this approach supports the development of more effective strategies for indoor air quality control. The proposed algorithm holds significant potential for practical applications in indoor air quality management and policymaking. Future research should focus on validating its effectiveness across a wider range of indoor environments.

Abstract
1. 서 론
2. 연구 방법
    2.1 재실자 맞춤형 개별 실내공기질지수 산출 알고리즘 개발
    2.2 재실자 맞춤형 통합 실내공기질지수 산출 알고리즘 개발
    2.3 재실자 맞춤형 통합 실내공기질 지수 효과평가
3. 결 과
    3.1 노출 시나리오별 개별 오염물질의 실내공기질지수 표 산출 결과
    3.2 통합 실내공기질 지수 별 개별 오염물질의 시나리오
    3.3 실내공기질 개선 시나리오에 따른 오염물질별건강위해성 평가
4. 고 찰
5. 결 론
References

• 박신영(서경대학교 환경화학공학과) | Shin-Young Park (Department of Environmental Chemical Engineering, Seokyeong University)
• 정지윤(서경대학교 환경화학공학과) | Ji-Yun Jeong (Department of Environmental Chemical Engineering, Seokyeong University)
• 이철민(서경대학교 환경화학공학과) | Cheol-Min Lee (Department of Environmental Chemical Engineering, Seokyeong University) Corresponding author
• 노광철(에어랩) | Kwangchul Noh (Air Lab Inc.)