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Seung Hyun Cha ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Ma, Jae Hoon / Erdogmus, Ece / Cha, Seung Hyun (2023): Integration of a choice modeling approach with immersive virtual environments for accurate space utilization prediction. In: Journal of Building Engineering, v. 76 (Oktober 2023).

    https://doi.org/10.1016/j.jobe.2023.107126

  2. Hwang, Kyung-Eun / Kim, Inhan / Kim, Jung In / Cha, Seung Hyun (2023): Client-engaged collaborative pre-design framework for modular housing. In: Automation in Construction, v. 156 (Dezember 2023).

    https://doi.org/10.1016/j.autcon.2023.105123

  3. Luo, Yanfang / Ahn, Seungjun / Abbas, Ali / Seo, JoonOh / Cha, Seung Hyun / Kim, Jung In (2023): Investigating the impact of scenario and interaction fidelity on training experience when designing immersive virtual reality-based construction safety training. In: Developments in the Built Environment, v. 16 (Dezember 2023).

    https://doi.org/10.1016/j.dibe.2023.100223

  4. Rhee, Jee Heon / Schermer, Brian / Cha, Seung Hyun (2023): Effects of indoor vegetation density on human well-being for a healthy built environment. In: Developments in the Built Environment, v. 14 (April 2023).

    https://doi.org/10.1016/j.dibe.2023.100172

  5. Lee, Jin-kook / Cho, Kyunghyun / Choi, Hyeokjin / Choi, Soohyung / Kim, Sumin / Cha, Seung Hyun (2023): High-level implementable methods for automated building code compliance checking. In: Developments in the Built Environment, v. 15 (Oktober 2023).

    https://doi.org/10.1016/j.dibe.2023.100174

  6. Cha, Seung Hyun / Ma, Jae Hoon / Seo, JoonOh / Kim, Jung In / Han, SangUk (2022): Empirical comparison of spatial experience between photo-based IVE and real space. In: Architectural Science Review, v. 66, n. 1 (November 2022).

    https://doi.org/10.1080/00038628.2022.2134089

  7. Ma, Jae Hoon / Lee, Jin Kook / Cha, Seung Hyun (2022): Effects of lighting CCT and illuminance on visual perception and task performance in immersive virtual environments. In: Building and Environment, v. 209 (Februar 2022).

    https://doi.org/10.1016/j.buildenv.2021.108678

  8. Ma, Jae Hoon / Cha, Seung Hyun (2021): A user-specific activity pattern generation framework for evidence-based ABW planning. In: Building and Environment, v. 189 (Februar 2021).

    https://doi.org/10.1016/j.buildenv.2020.107519

  9. Gassar, Abdo Abdullah Ahmed / Cha, Seung Hyun (2020): Energy prediction techniques for large-scale buildings towards a sustainable built environment: A review. In: Energy and Buildings, v. 224 (Oktober 2020).

    https://doi.org/10.1016/j.enbuild.2020.110238

  10. Ma, Jae Hoon / Cha, Seung Hyun (2020): A human data-driven interaction estimation using IoT sensors for workplace design. In: Automation in Construction, v. 119 (November 2020).

    https://doi.org/10.1016/j.autcon.2020.103352

  11. Cha, Seung Hyun / Koo, ChoongWan / Kim, Tae Wan / Hong, Taehoon (2019): Spatial perception of ceiling height and type variation in immersive virtual environments. In: Building and Environment, v. 163 (Oktober 2019).

    https://doi.org/10.1016/j.buildenv.2019.106285

  12. Chen, Hao / Cha, Seung Hyun / Kim, Tae Wan (2019): A framework for group activity detection and recognition using smartphone sensors and beacons. In: Building and Environment, v. 158 (Juli 2019).

    https://doi.org/10.1016/j.buildenv.2019.05.016

  13. Baek, Seung Hyo / Cha, Seung Hyun (2019): The trilateration-based BLE Beacon system for analyzing user-identified space usage of New Ways of Working offices. In: Building and Environment, v. 149 (Februar 2019).

    https://doi.org/10.1016/j.buildenv.2018.12.030

  14. Cha, Seung Hyun / Seo, JoonOh / Baek, Seung Hyo / Koo, ChoongWan (2018): Towards a well-planned, activity-based work environment: Automated recognition of office activities using accelerometers. In: Building and Environment, v. 144 (Oktober 2018).

    https://doi.org/10.1016/j.buildenv.2018.07.051

  15. Li, Wenzhuo / Koo, ChoongWan / Cha, Seung Hyun / Hong, Taehoon / Oh, Jeongyoon (2018): A novel real-time method for HVAC system operation to improve indoor environmental quality in meeting rooms. In: Building and Environment, v. 144 (Oktober 2018).

    https://doi.org/10.1016/j.buildenv.2018.08.046

  16. Kim, Jeonghwan / Cha, Seung Hyun / Koo, ChoongWan / Tang, Shiu-keung (2018): The effects of indoor plants and artificial windows in an underground environment. In: Building and Environment, v. 138 (Juni 2018).

    https://doi.org/10.1016/j.buildenv.2018.04.029

  17. Abbas, Ali / Choi, Minji / Seo, JoonOh / Cha, Seung Hyun / Li, Heng (2019): Effectiveness of Immersive Virtual Reality-based Communication for Construction Projects. In: KSCE Journal of Civil Engineering, v. 23, n. 12 (November 2019).

    https://doi.org/10.1007/s12205-019-0898-0

  18. Kim, Tae Wan / Cha, Seung Hyun (2019): Empirical validation of the spatial-choice modelling approach to user simulation. In: Architectural Science Review, v. 62, n. 4 (Juli 2019).

    https://doi.org/10.1080/00038628.2019.1625299

  19. Cha, Seung Hyun / Steemers, Koen / Kim, Tae Wan (2017): Modelling building users' space preferences for group work: a discrete-choice experiment. In: Architectural Science Review, v. 60, n. 6 (Oktober 2017).

    https://doi.org/10.1080/00038628.2017.1363706

  20. Kim, Tae Wan / Cha, Seung Hyun / Kim, Youngchul (2014): A framework for evaluating user involvement methods in architectural, engineering, and construction projects. In: Architectural Science Review, v. 59, n. 2 (Oktober 2014).

    https://doi.org/10.1080/00038628.2015.1008397

  21. Kim, Tae Wan / Kim, Youngchul / Cha, Seung Hyun / Fischer, Martin (2015): Automated updating of space design requirements connecting user activities and space types. In: Automation in Construction, v. 50 (Februar 2015).

    https://doi.org/10.1016/j.autcon.2014.12.010

  22. Cha, Seung Hyun / Steemers, Koen / Kim, Tae Wan (2018): Modeling space preferences for accurate occupancy prediction during the design phase. In: Automation in Construction, v. 93 (September 2018).

    https://doi.org/10.1016/j.autcon.2018.05.001

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