Discerning occupant psychosocial behaviour in smart built environment and its design

Tarun Kumar; Monto Mani

doi:10.1145/3363459.3363534

Discerning occupant psychosocial behaviour in smart built environment and its design

Tarun Kumar
, Monto Mani

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Smart built environment (SBE) are spaces integrated with sensors-actuator systems and intelligent control algorithms. Occupant behaviour comprises of three components-Social aspects, psychological aspects and mental well-being-and is challenging to understand. A conceptual framework (iEML) is developed to understand the psychosocial aspects of human behaviour. Short-term and long-term impacts of the SBE on human behaviour is assessed using the iEML framework. Further, a design framework is proposed based on TRIZ-based morphological analysis to offer useful interventions. Based on this framework, conceptual solutions are designed to neutralise the detrimental impacts of SBE on human behaviour. Finally using systems thinking approach, an inter-relationship matrix is formulated between design enablers and design processes of SBE considering psychosocial aspects and mental well-being. This design framework could aid the designers in designing a sustainable SBE which is productive and healthy.

Original language	English
Title of host publication	UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019
Publisher	Association for Computing Machinery (ACM)
Pages	69-76
Number of pages	8
ISBN (Electronic)	9781450370141
DOIs	https://doi.org/10.1145/3363459.3363534
Publication status	Published - 13 Nov 2019
Event	1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, UrbSys 2019 - Part of BuildSys 2019 - New York, United States Duration: 10 Nov 2019 → …

Publication series

Name	UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019

Conference

Conference	1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, UrbSys 2019 - Part of BuildSys 2019
Country/Territory	United States
City	New York
Period	10/11/19 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy

Keywords

Design
Psychosocial behaviour
Smart Built Environment

Access to Document

10.1145/3363459.3363534

Cite this

Kumar, T., & Mani, M. (2019). Discerning occupant psychosocial behaviour in smart built environment and its design. In UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019 (pp. 69-76). (UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019). Association for Computing Machinery (ACM). https://doi.org/10.1145/3363459.3363534

Kumar, Tarun ; Mani, Monto. / Discerning occupant psychosocial behaviour in smart built environment and its design. UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019. Association for Computing Machinery (ACM), 2019. pp. 69-76 (UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019).

@inproceedings{4d590c90a8594b4a995f9f5630233c72,

title = "Discerning occupant psychosocial behaviour in smart built environment and its design",

abstract = "Smart built environment (SBE) are spaces integrated with sensors-actuator systems and intelligent control algorithms. Occupant behaviour comprises of three components-Social aspects, psychological aspects and mental well-being-and is challenging to understand. A conceptual framework (iEML) is developed to understand the psychosocial aspects of human behaviour. Short-term and long-term impacts of the SBE on human behaviour is assessed using the iEML framework. Further, a design framework is proposed based on TRIZ-based morphological analysis to offer useful interventions. Based on this framework, conceptual solutions are designed to neutralise the detrimental impacts of SBE on human behaviour. Finally using systems thinking approach, an inter-relationship matrix is formulated between design enablers and design processes of SBE considering psychosocial aspects and mental well-being. This design framework could aid the designers in designing a sustainable SBE which is productive and healthy.",

keywords = "Design, Psychosocial behaviour, Smart Built Environment",

author = "Tarun Kumar and Monto Mani",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, UrbSys 2019 - Part of BuildSys 2019 ; Conference date: 10-11-2019",

year = "2019",

month = nov,

day = "13",

doi = "10.1145/3363459.3363534",

language = "English",

series = "UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019",

publisher = "Association for Computing Machinery (ACM)",

pages = "69--76",

booktitle = "UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019",

address = "United States",

}

Kumar, T & Mani, M 2019, Discerning occupant psychosocial behaviour in smart built environment and its design. in UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019. UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019, Association for Computing Machinery (ACM), pp. 69-76, 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, UrbSys 2019 - Part of BuildSys 2019, New York, United States, 10/11/19. https://doi.org/10.1145/3363459.3363534

Discerning occupant psychosocial behaviour in smart built environment and its design. / Kumar, Tarun; Mani, Monto.
UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019. Association for Computing Machinery (ACM), 2019. p. 69-76 (UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Discerning occupant psychosocial behaviour in smart built environment and its design

AU - Kumar, Tarun

AU - Mani, Monto

PY - 2019/11/13

Y1 - 2019/11/13

N2 - Smart built environment (SBE) are spaces integrated with sensors-actuator systems and intelligent control algorithms. Occupant behaviour comprises of three components-Social aspects, psychological aspects and mental well-being-and is challenging to understand. A conceptual framework (iEML) is developed to understand the psychosocial aspects of human behaviour. Short-term and long-term impacts of the SBE on human behaviour is assessed using the iEML framework. Further, a design framework is proposed based on TRIZ-based morphological analysis to offer useful interventions. Based on this framework, conceptual solutions are designed to neutralise the detrimental impacts of SBE on human behaviour. Finally using systems thinking approach, an inter-relationship matrix is formulated between design enablers and design processes of SBE considering psychosocial aspects and mental well-being. This design framework could aid the designers in designing a sustainable SBE which is productive and healthy.

AB - Smart built environment (SBE) are spaces integrated with sensors-actuator systems and intelligent control algorithms. Occupant behaviour comprises of three components-Social aspects, psychological aspects and mental well-being-and is challenging to understand. A conceptual framework (iEML) is developed to understand the psychosocial aspects of human behaviour. Short-term and long-term impacts of the SBE on human behaviour is assessed using the iEML framework. Further, a design framework is proposed based on TRIZ-based morphological analysis to offer useful interventions. Based on this framework, conceptual solutions are designed to neutralise the detrimental impacts of SBE on human behaviour. Finally using systems thinking approach, an inter-relationship matrix is formulated between design enablers and design processes of SBE considering psychosocial aspects and mental well-being. This design framework could aid the designers in designing a sustainable SBE which is productive and healthy.

KW - Design

KW - Psychosocial behaviour

KW - Smart Built Environment

UR - https://www.scopus.com/pages/publications/85077321798

U2 - 10.1145/3363459.3363534

DO - 10.1145/3363459.3363534

M3 - Conference contribution

AN - SCOPUS:85077321798

T3 - UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019

SP - 69

EP - 76

BT - UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019

PB - Association for Computing Machinery (ACM)

T2 - 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, UrbSys 2019 - Part of BuildSys 2019

Y2 - 10 November 2019

ER -

Kumar T, Mani M. Discerning occupant psychosocial behaviour in smart built environment and its design. In UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019. Association for Computing Machinery (ACM). 2019. p. 69-76. (UrbSys 2019 - Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization, Part of BuildSys 2019). doi: 10.1145/3363459.3363534

Discerning occupant psychosocial behaviour in smart built environment and its design

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Fingerprint

Cite this