Web-based Multiuser 3D Room Layout System Using Interactive Evolutionary Computation with Conjoint Analysis

Akase, Ryuya; Okada, Yoshihiro

doi:10.1145/2636240.2636849

Cited by 13 publications

(5 citation statements)

References 6 publications

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“…Akase and colleagues proposed two interactive methods based on iterative evolutionary optimization [1,2]. Upon seeing a candidate furniture arrangement, the user can tweak the fitness function either directly using sliders [1] or indirectly via conjoint analysis [2]. In both works the number of customizable parameters is small and not directly related to the scene composition (e.g.…”

Section: Related Workmentioning

confidence: 99%

Automating Layout Synthesis with Constructive Preference Elicitation

Erculiani

Dragone

Teso

et al. 2019

Machine Learning and Knowledge Discovery in Databases

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Layout synthesis refers to the problem of arranging objects subject to design preferences and structural constraints. Applications include furniture arrangement, space partitioning (e.g. subdividing a house into rooms), urban planning, and other design tasks. Computeraided support systems are essential tools for architects and designers to produce custom, functional layouts. Existing systems, however, do not learn the designer's preferences, and therefore fail to generalize across sessions or instances. We propose addressing layout synthesis by casting it as a constructive preference elicitation task. Our solution employs a coactive interaction protocol, whereby the system and the designer interact by mutually improving each other's proposals. The system iteratively recommends layouts to the user, and learns the user's preferences by observing her improvements to the recommendations. We apply our system to two design tasks, furniture arrangement and space partitioning, and report promising quantitative and qualitative results on both.

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Section: Related Workmentioning

confidence: 99%

Automating Layout Synthesis with Constructive Preference Elicitation

Erculiani

Dragone

Teso

et al. 2019

Machine Learning and Knowledge Discovery in Databases

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“…Recent works have proposed optimisation-based interactive design tools to facilitate furniture arrangement using interior design principles (Merrell et al 2011;Yu et al 2011). Akase et al (2014) proposed an online room design framework where the objective function entirely relies upon the user's evaluation.…”

Section: Related Workmentioning

confidence: 99%

Interactive Diversity Optimization of Environments

Berseth,

Khayatkhoei,

Haworth

et al. 2018

Preprint

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The design of a building requires an architect to balance a wide range of constraints: aesthetic, geometric, usability, lighting, safety, etc. At the same time, there are often a multiplicity of diverse designs that can meet these constraints equally well. Architects must use their skills and artistic vision to explore these rich but highly constrained design spaces. A number of computer-aided design tools use automation to provide useful analytical data and optimal designs with respect to certain tness criteria. However, this automation can come at the expense of a designer's creative control.We propose µDOME, a user-in-the-loop system for computer-aided design exploration that balances automation and control by e ciently exploring, analyzing, and ltering the space of environment layouts to better inform an architect's decision-making. At each design iteration, µDOME provides a set of diverse designs which satisfy user-de ned constraints and optimality criteria within a user de ned parameterization of the design space. The user then selects a design and performs a similar optimization with the same or di erent parameters and objectives. This exploration process can be repeated as many times as the designer wishes. Our user studies indicates that µDOME, with its diversity-based approach, improves the e ciency and e ectiveness of even novice users with minimal training, without compromising the quality of their designs.

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“…Akase et al proposed an IGA that summarizes multiple users' subjective fitness values into one fitness value by calculation [11]. A target of their work was 3D room layout.…”

Section: Interactive Genetic Algorithm For Multiple Usersmentioning

confidence: 99%

“…Recent IEC studies proposed a method that creates media contents commonly suited to multiple users. These previous IEC studies employed various schemes; summarizing multiple users' subjective feelings [11], gathering multiple users' votes [12] [13] [14], and employing island type evolutionary algorithm [15] [16]. These previous studies employed Genetic Algorithm (GA) [17] [18] as its evolutionary algorithm, thus, they are kind of Interactive Genetic Algorithm (IGA) [1].…”

Section: Introductionmentioning

confidence: 99%

A Proposal for Distributed Interactive Genetic Algorithm for Composition of Musical Melody

Fukumoto

Hatanaka

2017

Information Engineering Express

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This study proposes an Interactive Evolutionary Computation that creates sound contents for multiple users. Sound contents including music piece and sign sound are often used for creating common atmosphere and transmitting a certain message to everyone. The proposed method is based on parallel distributed Interactive Genetic Algorithm (IGA). As a special property of this method, in some generations, solution candidates are exchanged between the users. With the exchange, each of the users is affected by other users' feelings: good solutions for all of the users are expected to be obtained. Based on the proposed method, we constructed an IGA system for fundamentally investigating efficiencies of the proposed method. Aim of the IGA system is to create a short music melody commonly affording bright image to multiple users. Key of the notes was treated as gene of the IGA. Music chord progression is attached to the melody when it is presented to the subjects. In listening experiment, sixteen subjects divided into eight pairs, and two subjects participated in the evaluation process simultaneously. Experimental results showed increase in mean fitness values between the subjects.

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Web-based Multiuser 3D Room Layout System Using Interactive Evolutionary Computation with Conjoint Analysis

Cited by 13 publications

References 6 publications

Automating Layout Synthesis with Constructive Preference Elicitation

Automating Layout Synthesis with Constructive Preference Elicitation

Interactive Diversity Optimization of Environments

A Proposal for Distributed Interactive Genetic Algorithm for Composition of Musical Melody

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