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Seung Hyun Cha ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  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 (October 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 (December 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 (December 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 (October 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 (February 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 (February 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 (October 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 (October 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 (July 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 (February 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 (October 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 (October 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 (June 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 (July 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 (October 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 (October 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 (February 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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