Influential design factors on occupant satisfaction with indoor environment in workplaces

Kwon, Minyoung; Remøy, Hilde; Bogaard, Maartje van den

doi:10.1016/j.buildenv.2019.05.002

Cited by 53 publications

(38 citation statements)

References 43 publications

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“…The functional Figure 1. Information about the case study buildings, modified after Kwon et al (2019a) Figure 2.…”

Section: Methodology 21 Study Designmentioning

confidence: 99%

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Office employee satisfaction: the influence of design factors on psychological user satisfaction

Kwon

Remøy

2019

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Purpose Employees’ satisfaction and productivity is one of the main interests of employers. Psychological comfort can cause dissatisfaction with their work. Thus, it is important to understand what factors contribute to employees’ satisfaction in workplaces. The purpose of this paper is to identify the weight of contribution of each design parameter on increasing psychological satisfaction. Design/methodology/approach The study included 579 employees in five offices in The Netherlands through an online survey. The typologies of offices vary in terms of office layouts, orientations and façade. Additionally, a parameter of desk location was included as this factor may be associated with user satisfaction. Kruskal–Wallis H test, categorical regression, and logistic regression analyses were performed to examine the impact of these design parameters on psychological user satisfaction. Findings The results revealed the impact of design parameters on the psychological satisfaction. The parameters of office layouts and desk locations were the significant predictor factors for the probability of satisfaction variables (e.g. privacy, concentration, communication, social contact and territoriality). The parameters for optimal satisfaction were found in cellular office, north-west oriented workstation and 4 m away from a window. Originality/value Psychological comfort is an inevitable aspect in user satisfaction studies. This paper, therefore, measures and predicts the relationship between design factors and employees’ satisfaction through case studies in The Netherlands. The findings help designers, architects, planners and facility managers to develop user-focussed office design principles supporting employees’ work performance.

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“…The functional Figure 1. Information about the case study buildings, modified after Kwon et al (2019a) Figure 2.…”

Section: Methodology 21 Study Designmentioning

confidence: 99%

“…Lastly, the psychological category indicates satisfaction factors influenced by employees' perception. A previous paper revealed the relationship between physical satisfaction factors and design parameters (Kwon et al, 2019a). This paper deals with five psychological satisfaction factors.…”

Section: Classification Of Physical and Psychological Factorsmentioning

confidence: 96%

Office employee satisfaction: the influence of design factors on psychological user satisfaction

Kwon

Remøy

2019

Self Cite

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“…The questionnaire results vary among people with different ages, genders, countries, incomes and so on. In addition, human comfort is a relatively subjective matter [50], [51] and conducting questionnaires involves high-cost and timeconsuming process of data collection. We also cannot make sure the results are correct since they depend on individual participants' responses.…”

Section: Discussionmentioning

confidence: 99%

“…As a result, there is hardly any well-received commercial product to monitor the real state of human comfort. Human comfort is a relatively subjective matter [50], [51] which is affected by many environmental, psychological and physiological factors. Furthermore, the occupants' perception about comfort may be influenced by numerous external conditions instantly.…”

Section: Discussionmentioning

confidence: 99%

“…To study human thermal comfort in indoor environment, a few research teams prefer questionnaires to existing comfort models such as PMV and PPD as they believe that comfort is a subjective matter [50], [51]. Nevertheless, most of the research groups choose to apply either the conventional comfort models (covered in section II-A) or their own model derived from training machine learning algorithms to predict thermal comfort.…”

Section: B Data Collection Methods For Thermal Comfort Studymentioning

confidence: 99%

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Human Comfort in Indoor Environment: A Review on Assessment Criteria, Data Collection and Data Analysis Methods

Song

Mao

Liu³

2019

IEEE Access

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Occupants' comfort perception about the indoor environment is closely linked to their health, wellbeing and productivity. Improvement of comfort level in office buildings has significant positive impacts on both employers and employees. Human comfort in indoor environment usually can be assessed in four aspects: thermal comfort, visual comfort, acoustic comfort and respiratory comfort. In this paper, we present a literature review on the previous research contributions towards studying various aspects of human comfort with a special focus on the respective assessment criteria, data collection methods and data analysis approaches employed by former studies. Previous review work has covered the fundamental concepts associated with human comfort. However, their studies mainly focus on thermal comfort and there is limited work that covers other aspects of comfort. Moreover, few of them discuss how the data is obtained, how to extract useful information from the data and how the data is analyzed. To fill up this gap, this paper conducts the survey from the data-driven point of view. Through the survey, we find that sensor technology has been widely used in the data collection for various types of comfort, while so far the machine learning approaches are mainly applied in the area of thermal comfort study. Finally, some potential future research areas are proposed based on the current status of the research work. The established knowledge in this paper would provide useful insights for engineers or researchers who embark on their research in this area. INDEX TERMS Human comfort, thermal comfort, assessment criteria, data analysis method, sensor technology, machine learning.

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Impact of Covid-19 Pandemic Lockdown on the Managerial Aspects of Brick Manufacturing Unit—A Case Study on Post and Present Scenario

Murthi¹,

Poongodi²

2022

Lecture Notes in Civil Engineering

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Influential design factors on occupant satisfaction with indoor environment in workplaces

Cited by 53 publications

References 43 publications

Office employee satisfaction: the influence of design factors on psychological user satisfaction

Office employee satisfaction: the influence of design factors on psychological user satisfaction

Human Comfort in Indoor Environment: A Review on Assessment Criteria, Data Collection and Data Analysis Methods

Impact of Covid-19 Pandemic Lockdown on the Managerial Aspects of Brick Manufacturing Unit—A Case Study on Post and Present Scenario

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