MasqueArray: Automatic makeup selector/applicator

Discusses the design of a computer which selects and applies makeup

Optimizing women\u27s Morning Experience: Design of an interactive cosmetics\u27 organizer

Nowadays, wearing proper makeup is proved to be a powerful tool which can help women get benefit in their workplace. However, many employee women face a problem about making everything perfect done in the rush morning time, especially wearing makeup, which can result in a lot of negative effects not only in personal health but also in the family relationship. Suffering from poor morning experience might mass their beginning of the day and consequently ruing the whole day. Due to the boring and complex cosmetics organizers, the problem came to be more severe for them and make the makeup process neither effective nor enjoyable. This project aiming at optimizing their morning experience and offering a positive psychological suggestion when using the interactive cosmetics organizer. The organizer is designed to bring these women easier, more effective and delighter makeup experience which helps them to come over the stressed morning and to be well-prepared for a new day. The paper firstly evaluates that how the products affect the makeup process in the morning as well as analyzing users emotion activities throughout the whole process. And then it demonstrates the design process by figuring out how to create a comfortable environment and interaction between the product and users. The paper also addresses how emotional design and experience design works in this project which aimed at upgrading women workers\u27 makeup process and their morning experience and finally benefits their life

Computer analysis of face beauty: a survey

The human face conveys to other human beings, and potentially to computer systems, information such as identity, intentions, emotional and health states, attractiveness, age, gender and ethnicity. In most cases analyzing this information involves the computer science as well as the human and medical sciences. The most studied multidisciplinary problems are analyzing emotions, estimating age and modeling aging effects. An emerging area is the analysis of human attractiveness. The purpose of this paper is to survey recent research on the computer analysis of human beauty. First we present results in human sciences and medicine pointing to a largely shared and data-driven perception of attractiveness, which is a rationale of computer beauty analysis. After discussing practical application areas, we survey current studies on the automatic analysis of facial attractiveness aimed at: i) relating attractiveness to particular facial features; ii) assessing attractiveness automatically; iii) improving the attractiveness of 2D or 3D face images. Finally we discuss open problems and possible lines of research

3D Human Face Reconstruction and 2D Appearance Synthesis

3D human face reconstruction has been an extensive research for decades due to its wide applications, such as animation, recognition and 3D-driven appearance synthesis. Although commodity depth sensors are widely available in recent years, image based face reconstruction are significantly valuable as images are much easier to access and store. In this dissertation, we first propose three image-based face reconstruction approaches according to different assumption of inputs. In the first approach, face geometry is extracted from multiple key frames of a video sequence with different head poses. The camera should be calibrated under this assumption. As the first approach is limited to videos, we propose the second approach then focus on single image. This approach also improves the geometry by adding fine grains using shading cue. We proposed a novel albedo estimation and linear optimization algorithm in this approach. In the third approach, we further loose the constraint of the input image to arbitrary in the wild images. Our proposed approach can robustly reconstruct high quality model even with extreme expressions and large poses. We then explore the applicability of our face reconstructions on four interesting applications: video face beautification, generating personalized facial blendshape from image sequences, face video stylizing and video face replacement. We demonstrate great potentials of our reconstruction approaches on these real-world applications. In particular, with the recent surge of interests in VR/AR, it is increasingly common to see people wearing head-mounted displays. However, the large occlusion on face is a big obstacle for people to communicate in a face-to-face manner. Our another application is that we explore hardware/software solutions for synthesizing the face image with presence of HMDs. We design two setups (experimental and mobile) which integrate two near IR cameras and one color camera to solve this problem. With our algorithm and prototype, we can achieve photo-realistic results. We further propose a deep neutral network to solve the HMD removal problem considering it as a face inpainting problem. This approach doesn\u27t need special hardware and run in real-time with satisfying results

Smart information desk system with voice assistant for universities

This article aims to develop a smart information desk system through a smart mirror for universities. It is a mirror with extra capabilities of displaying answers for academic inquiries such as asking about the lecturers’ office numbers and hours, exams dates and times on the mirror surface. In addition, the voice recognition feature was used to answer spoken inquiries in audio responds to serve all types of users including disabled ones. Furthermore, the system showed general information such as date, weather, time and the university map. The smart mirror was connected to an outdoor camera to monitor the traffics at the university entrance gate. The system was implemented on a Raspberry Pi 4 model B connected to a two-way mirror and an infrared (IR) touch frame. The results of this study helped to overcome the problem of the information desk absence in the university. Therefore, it helped users to save their time and effort in making requests for important academic information

The influence of augmented reality on consumers’ online purchase intention : the Sephora Virtual Artist case

The advent of digitalization lead to the change of many business models and it has had a particular impact on retail. Indeed, brands are experimenting new ways to respond to consumers’ needs, blurring digital and physical experiences. An answer to this is Augmented Reality (AR) and it can be implemented in companies’ online platforms. This dissertation relies on studying this phenomenon through Sephora Virtual Artist, an e-commerce platform with AR features launched by the company. This research analyses if this technology can contribute to an e-commerce business in the cosmetic industry, through an experimental design comparing consumers’ responses to the Sephora 2D traditional website to Sephora Virtual Artist. From the outcome of the study, it was possible to affirm that AR could be a successful strategy for beauty companies that want to increment the performances of their online channels. Moreover, the main drivers of Online Purchase Intention were identified, and a specific target as well. The collected data might contribute for companies of the beauty industry whether to decide or not to invest in Augmented Reality and how to implement it. Moreover, it might also help brand managers communicating in the right way, to the right target and on the right channel.O advento da digitalização leva à mudança de muitos modelos de negócios e tem um impacto particular no retalho. De fato, as marcas estão a experimentar novas maneiras de responder às necessidades dos consumidores, fundindo as experiências digitais e físicas. A Realidade Aumentada (RA) é uma resposta para isso e pode ser implementada nas plataformas online das empresas. Esta dissertação baseia-se no estudo desse fenómeno através da Sephora Virtual Artist, uma plataforma de e-commerce com recursos de RA lançados pela empresa. Esta pesquisa analisa se esta tecnologia pode contribuir para um negócio de e-commerce na indústria cosmética, através de um projeto experimental comparando as respostas dos consumidores do site tradicional da Sephora 2D aos da Sephora Virtual Artist. A partir do resultado do estudo, foi possível afirmar que a RA pode ser uma estratégia bem-sucedida para empresas de beleza que desejem incrementar o desempenho de seus canais online. Além disso, os principais fatores de sucesso para a plataforma foram identificados bem como o seu público alvo. Os dados recolhidos podem contribuir para que empresas do setor de beleza decidam ou não investir em Realidade Aumentada e como implementá-la. Além disso, também pode ajudar os gerentes de marca a comunicarem da maneira certa, para o público certo e no canal certo

Branded: Corporate Image, Sexual Stereotyping, and the New Face of Capitalism

In the context of unionized workforces covered by collective bargaining agreements, companies have-at most-been required to demonstrate a reasonable relationship between the grooming code and the business\u27s effort to project a corporate image that it believes will result in a larger market share.5 In a small number of cases, sexualized branding that exposes workers to sexual harassment or is predicated upon sexual stereotypes not essential to performance of the job has been curtailed by the antidiscrimination mandate of Title VII.6 However, challenges under Title VII have been effective only where corporate branding is at odds with community norms; where the branding is consistent with community norms that encode sexual stereotypes, customer preferences and community norms become the business justification for branding

LookBook: pioneering Inclusive beauty with artificial intelligence and machine learning algorithms

Technology's imperfections and biases inherited from historical norms are crucial to acknowledge. Rapid perpetuation and amplification of these biases necessitate transparency and proactive measures to mitigate their impact. The online visual culture reinforces Eurocentric beauty ideals through prioritized algorithms and augmented reality filters, distorting reality and perpetuating unrealistic standards of beauty. Narrow beauty standards in technology pose a significant challenge to overcome. Algorithms personalize content, creating "filter bubbles" that reinforce these ideals and limit exposure to diverse representations of beauty. This cycle compels individuals to conform, hindering the embrace of their unique features and alternative definitions of beauty. LookBook counters prevalent narrow beauty standards in technology. It promotes inclusivity and representation through self-expression, community engagement, and diverse visibility. LookBook comprises three core sections: Dash, Books, and Community. In Dash, users curate their experience through personalization algorithms. Books allow users to collect curated content for inspiration and creativity, while Community fosters connections with like-minded individuals. Through LookBook, users create a reality aligned with their unique vision. They control consumed content, nurturing individualism through preferences and creativity. This personalization empowers individuals to break free from narrow beauty standards and embrace their distinctiveness. LookBook stands out with its algorithmic training and data representation. It offers transparency on how personalization algorithms operate and ensures a balanced and diverse representation of physicalities and ethnicities. By addressing biases and embracing a wide range of identities, LookBook sparks a conversation for a technology landscape that amplifies all voices, fostering an environment celebrating diversity and prioritizing inclusivity

Consumers and Augmented Reality in Shopping and Services: Drivers and Consequences

This dissertation investigated the effect of augmented reality on user experience and also the mediation effect of user experience in the relationship between augmented reality and the outcome variables including user satisfaction and user’s willingness to buy/user’s willingness to use augmented reality. Three studies were conducted in three different contexts, including buying consumer products, entertainment services and vehicle service use. The results indicate that augmented reality significantly and positively influence user experience, and user experience fully mediates the impact of augmented reality on user satisfaction and user’s willingness to buy/ user’s willingness to use augmented reality. Further, the results showed that trade-off between price and value, user’s information privacy control, perceived control and responsiveness moderate the effect of augmented reality on user experience. In addition, a new scale was developed to capture and measure the output quality in terms of image recognition generated by augmented reality. Additionally, a new aspect of user experience exclusively driven by augmented reality was developed and added to the current user experience scale