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We consider the problem of identifying the most profitable product design from a finite set of candidates under unknown consumer preference. A standard approach to this problem follows a two-step strategy: First, estimate the preference of…

Machine Learning · Statistics 2017-01-06 Max Yi Ren , Clayton Scott

User's perception of product, by essence subjective, is a major topic in marketing and industrial design. Many methods, based on users' tests, are used so as to characterise this perception. We are interested in three main methods:…

Human-Computer Interaction · Computer Science 2007-05-23 Jean-François Petiot , Damien Chablat

Design is a factor that plays an important role in consumer purchase decisions. As the need for understanding and predicting various preferences for each customer increases along with the importance of mass customization, predicting…

Human-Computer Interaction · Computer Science 2024-05-14 Dongju Shin , Sunghee Lee , Namwoo Kang

An important new trend in additive manufacturing is the use of optimization to automatically design industrial objects, such as beams, rudders or wings. Topology optimization, as it is often called, computes the best configuration of…

Visual information plays a critical role in human decision-making process. While recent developments on visually-aware recommender systems have taken the product image into account, none of them has considered the aesthetic aspect. We argue…

Information Retrieval · Computer Science 2021-01-19 Wenhui Yu , Xiangnan He , Jian Pei , Xu Chen , Li Xiong , Jinfei Liu , Zheng Qin

One of the open questions in the field of interaction design is "what inputs or interaction techniques should be used with augmented reality devices?" The transition from a touchpad and a keyboard to a multi-touch device was relatively…

Human-Computer Interaction · Computer Science 2021-05-28 Adam S. Williams , Francisco R. Ortega

Additive manufacturing has become one of the forefront technologies in fabrication, enabling new products impossible to manufacture before. Although many materials exist for additive manufacturing, they typically suffer from performance…

Preference learning from human feedback has the ability to align generative models with the needs of end-users. Human feedback is costly and time-consuming to obtain, which creates demand for data-efficient query selection methods. This…

Machine Learning · Computer Science 2026-02-18 Guy Schacht , Ziyad Sheebaelhamd , Riccardo De Santi , Mojmír Mutný , Andreas Krause

Despite the increasing availability of personal fabrication hardware and services, the true potential of digital fabrication remains unrealized due to lack of computational techniques that can support 3D shape design by non-experts. This…

Graphics · Computer Science 2020-06-11 Nurcan Gecer Ulu

This position paper outlines a new approach to adapting 3D user interface (UI) layouts given the complex nature of end-user preferences. Current optimization techniques, which mainly rely on weighted sum methods, can be inflexible and…

Human-Computer Interaction · Computer Science 2023-11-20 Christoph Albert Johns , João Marcelo Evangelista Belo

Our goal is to make robotics more accessible to casual users by reducing the domain knowledge required in designing and building robots. Towards this goal, we present an interactive computational design system that enables users to design…

Robotics · Computer Science 2018-04-17 Ruta Desai , Beichen Li , Ye Yuan , Stelian Coros

Fashion, and especially apparel, is the fastest-growing category in online shopping. As consumers requires sensory experience especially for apparel goods for which their appearance matters most, images play a key role not only in conveying…

Human-Computer Interaction · Computer Science 2014-06-16 Wei Di , Anurag Bhardwaj , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill

Model merging combines expert models for multitask performance but faces challenges from parameter interference. This has sparked recent interest in controllable model merging, giving users the ability to explicitly balance performance…

Machine Learning · Computer Science 2025-11-17 Jialin Wu , Jian Yang , Handing Wang , Jiajun Wen , Zhiyong Yu

Human aesthetic preferences for 3D shapes are central to industrial design, virtual reality, and consumer product development. However, most computational models of 3D aesthetics lack empirical grounding in large-scale human judgments,…

Graphics · Computer Science 2025-05-20 Kapil Dev

Accurately digitizing physical objects is central to many applications, including virtual/augmented reality, industrial design, and e-commerce. Prior research has demonstrated efficient and faithful reconstruction of objects' geometric…

Graphics · Computer Science 2024-06-26 Yunxiang Zhang , Xin Sun , Dengfeng Li , Xinge Yu , Qi Sun

The ability to accurately quantify the performance an additively manufactured (AM) product is important for a widespread industry adoption of AM as the design is required to: (1) satisfy geometrical constraints, (2) satisfy structural…

Computational Engineering, Finance, and Science · Computer Science 2018-11-05 Erva Ulu

The high number of products available makes it difficult for a user to find the most suitable products according to their needs. This problem is especially exacerbated when the user is trying to optimize multiple attributes during product…

Human-Computer Interaction · Computer Science 2020-04-28 Roquia Mushtaq , Naveed Ahmad , Aimal Rextin , Muhammad Muddassir Malik

Search queries are appropriate when users have explicit intent, but they perform poorly when the intent is difficult to express or if the user is simply looking to be inspired. Visual browsing systems allow e-commerce platforms to address…

Information Retrieval · Computer Science 2018-10-04 Choon Hui Teo , Houssam Nassif , Daniel Hill , Sriram Srinavasan , Mitchell Goodman , Vijai Mohan , SVN Vishwanathan

In this paper, gradient-based optimization methods are combined with finite-element modeling for improving electric devices. Geometric design parameters are considered by affine decomposition of the geometry or by the design element…

Topology optimization(TO) is widely used in engineering because of its ability to save material and optimize structural performance. Although prior work has explored 2D human-centered design tool for TO, the results are often limited in…

Human-Computer Interaction · Computer Science 2026-04-24 Shuyue Feng , Cedric Caremel , Yoshihiro Kawahara
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