Measuring End-User Satisfaction in the Design of Building Projects Using Eye-Tracking Technology

Mohammadpour, Atefeh; Karan, Ebrahim; Asadi, Somayeh; Rothrock, Ling

doi:10.1061/9780784479247.070

Cited by 12 publications

(17 citation statements)

References 9 publications

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“…This is a very popular neuroscience technique in market research. It is used not only in market research but also in disciplines such as software design, website design, psychology, human behavior research, game design (Mohammadpour et al, 2015;Habibnezhad et al, 2016). The use of eye capture techniques to identify risks to construction workers in housing development is quite common (Habibnezhad et al, 2016;Hasanzadeh et al, 2016Hasanzadeh et al, , 2018.…”

Section: Healthy Construction Professionalsmentioning

confidence: 99%

“…Over time, this equipment becomes more and more user-friendly, more cost-effective. As Mohammadpour et al (2015) note, due to the different area of the eyeball, shapes, wearing glasses, which change the size of the eye, it is necessary to calibrate the eye capture equipment for each study participant. For the calibration procedure, the participant is asked to sit and relax in front of the eye capture chamber.…”

Section: Healthy Construction Professionalsmentioning

confidence: 99%

“…Fixation and movement are measured using gaze tracking techniques. Fixation is marked when the user's gaze is relatively immobile at a specific location, and movement is defined by rapid movement of the gaze from fixations to other elements (Mohammadpour et al, 2015). Hasanzadeh et al (2018) also recommend examining fixations (maintaining a relatively static eye position for 100-200 ms) and movement (sudden eye movement between fixation points).…”

Section: Healthy Construction Professionalsmentioning

confidence: 99%

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Possibilities of Neuroscience Application in Housing Development

Naumcik

2020

Engineering Structures and Technologies

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The identification of the best housing alternatives is influenced by a wide variety of factors, including supply, demand, social, cultural, psychological, personal factors. All of these factors have an effect on the behavior and emotional state of a home buyer. What are the most effective ways to choose a home when there is a plethora of complex choices? To determine the most effective choice, neuroscience techniques can be used. These techniques are classified in the following main groups in the article: 1) momentary techniques for measuring changes in electronic neuronal activity, 2) techniques for measuring changes in metabolic neuronal activity, 3) techniques for measuring changes in psychological response to a stimulus. Article’s analysis, its identification of advantages and disadvantages of the techniques, representing these groups: electroencephalography, functional magnetic resonance imaging, functional semi-infrared spectroscopy, eye capture, and galvanic skin reactions, has revealed the potential of using latter techniques in making marketing decisions, while working with target audiences of different ages, life experiences, character traits who want to live where they feel best.

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Section: Healthy Construction Professionalsmentioning

confidence: 99%

Section: Healthy Construction Professionalsmentioning

confidence: 99%

Section: Healthy Construction Professionalsmentioning

confidence: 99%

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Possibilities of Neuroscience Application in Housing Development

Naumcik

2020

Engineering Structures and Technologies

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“…Architectural design is a continuous process of meeting a client's needs through collaboration [1]. As acquiring reliable feedback from end-users for the assessment of design options would be beneficial for the overall quality of the design and end-user satisfaction, the design review process involves not only designers and engineers but also end-users [2,3]. Design review with end-users also requires a continuous iterative process of sharing building information, and the client is generally provided with project-relevant information by the design team in the form of drawings or models.…”

Section: Introductionmentioning

confidence: 99%

End-Users’ Augmented Reality Utilization for Architectural Design Review

et al. 2020

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To effectively use augmented reality (AR) technology for end-user involved design collaboration, it is necessary to ensure the effectiveness of the AR system from the end-user’s perspective. However, most efforts have mainly focused on technological development, and as such, limited attention has been paid to the end-user’s application of the AR system. Therefore, this study investigates how the AR system affects architectural design review based on the user’s perspectives. Three different display systems presenting a 3D model including a 2D screen, VR, and AR were tested, and a total of 76 participants evaluated visual presentation quality, perceived acceptability, and user experience according to their usage of the visualization platform types during the design review activities. Compared to other systems, the results indicated that the AR system could be more effective in reviewing the visual elements of a building. Furthermore, AR showed the highest ratings for acceptance level and user experience. The innovation provided by AR created a positive user experience, despite its remaining challenges to be resolved in terms of functionality. Since it is expected that the use of AR can be promoted by overcoming certain technological limitations, this study contributes to guiding AR system applications for end-users involved in the design review process.

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“…A couple of studies discussed the use of eye-tracking and facial expression analysis as a method of evaluating the building end-user perception. Mohammadpour et al (2015) concluded that higher visual attention was indeed assigned to parts that were more attractive to the [12].…”

Section: Introductionmentioning

confidence: 99%

Quantitative ways of measuring client’s preferences: A step toward creating an intelligent architectural design agent

Sherif¹,

Asadi²,

Karan³

2018

Creative Construction Conference 2018 - Proceedings

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Technology-driven and digital modeling developments are undeniably changing design and construction professions across the architecture, engineering and construction (AEC) industry. Today, it is impossible to conceive of an architectural practice without using computer tools right from initial design conceptualization to the creation of construction drawings for a given project. The computer applications delivered new capabilities to automate the design process and offered various possibilities of assistant to the designer. However, they are not smart enough yet to understand clients or end users' (e.g. building occupants) needs or expectations and innovate a building design. Artificial Intelligence (AI) could be a solution to making architectural and building design process less time-demanding and more organized with minimal manual interference. The ultimate aim of this study is to make AI part of AEC's digital journey, by making an intelligent agent able to both understand client needs and produce building designs. An intelligent design agent is defined as an autonomous entity that perceives client needs and makes design decisions towards achieving client satisfaction while balancing design and technical objectives. There are two challenges with respect to creating intelligent design agents; (1) finding quantitative ways of measuring client's needs and preferences, and (2) providing a mathematical framework for making design decisions. This study focuses primarily on the first challenge and proposes a solution for creating measurable data about the client's needs and preferences. First, an overview of technologies that support quantitative measurement of people's physical, emotional, and behavioral characteristics is presented. These technologies include eye tracking, facial expressions, electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), and galvanic skin response (GSR). This overview will enable us to understand potential applications of psychological measurement in the AI domain. This will be followed by a hypothetical design experiment to test the hypothesis that we can determine a subject's degree of satisfaction by recording and analyzing his or her eye-movements and facial expressions when presented with a collection of visual data, like window design options on a screen. The participants are provided with window design options and asked to evaluate each design based on their preference by giving it a score. While study subjects complete evaluation tasks for each design option, we record their interactions using eye-tracking and an automated facial expression tool. The objective is to find a relationship between subjects' preferences (as the independent variables) and the emotion expressed and the time spent on each design (as the dependent variables). This will allow us to provide a first look at how subjects interact with different attributes.

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Measuring End-User Satisfaction in the Design of Building Projects Using Eye-Tracking Technology

Cited by 12 publications

References 9 publications

Possibilities of Neuroscience Application in Housing Development

Possibilities of Neuroscience Application in Housing Development

End-Users’ Augmented Reality Utilization for Architectural Design Review

Quantitative ways of measuring client’s preferences: A step toward creating an intelligent architectural design agent

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