Kansei Engineering

The aim of this research is to propose a new approach of Kansei Engineering, Kano model and Taguchi Design of Experiments to identify, categorize and prioritize customersʹ emotional needs (Kansei) in the automotive industry in order to more customer satisfaction. To achieve the above aim, first customersʹ Kansei words identified and screened; then these words classified based on Kano model. In the next step, by the use of Taguchi Design of Experiments, optimal levels of the attractive features obtained from the Kano model have been determined and these features have been prioritized. In order to assess the validity and effectiveness of the proposed approach, a case study has been done in the automotive industry and in one of the Iran Khodroʹs representative in Isfahan. In case study, from 38 identified Kansei words, 7 words are attractive needs and in next step be identified that from 7 attractive needs, 5 needs are in highly attractive category and 2 needs are in attractive category.

—Many of mobile commerce application are used to support business process over the internet to be more efficient. However, the interface design of mobile applications lack of considering consumer perspective into design process, so this made problems to attractive more consumer to be participated in business over internet. This paper reports an attempt to discover these implicit needs based on consumers's emotion and how it relates to the design of mobile commerce application by the adoption of Kansei Engineering. The objective is to analyze and find the critical elements to build consumer oriented mobile commerce application. The five popular mobile commerce applications were used as specimen in the Kansei evaluation. The result of this research told that Kansei Engineering was one of tool to determine significant elements in designing mobile application interface.

Touch is one sense through which people judge consumer products. How materials' properties influence these judgments is the topic of this paper. People's sensorial or psycho-physical judgments (by touch) of the roughness, softness, slipperiness and warmth of 37 material samples are ...

Teknologi Realiti Maya (VR) merupakan simulasi komputer melalui terjemahan imitasi sekitaran dengan cubaan menyerupai keadaan nyata atau fizikal suatu perkara, situasi atau produk. VR dapat dihasilkan menggunakan aplikasi multimedia mendalam yang menggunakan komputer bagi mewujudkan suatu alam simulasi menggunakan komputer.

"Este trabajo de investigación se origina a partir de un proyecto realizado en la institución relacionado con un agente conversacional corpóreo, ya que actualmente el uso de los Agentes Conversacionales Animados ha ido creciendo. Estos suelen ser una herramienta utilizada en ciertas funciones en las cuales pueden servir como guías, maestros, ayudantes, etc.

La problemática que abordamos en éste documento, es la implementación de un agente conversacional capaz de expresar diálogos creíbles en lenguaje natural, expresando en sus diálogos rasgos de personalidad, emociones y su intensidad. Para la generación de diálogos creíbles, proponemos utilizar la extensión que se le hizo al lenguaje AIML (Artificial Intelligence Markup Language), utilizando la nueva estructura para los archivos de la base de conocimientos basados en AIML, mediante diálogos creíbles, es capaz de crear escenarios más reales para que el aspirante disperse sus dudas con relación a la
Maestría en Ciencias en Ciencias de la Computación, manteniendo una conversación simulada por el agente conversacional. Para esto se presentó una metodología para organizar y diseñar la estructura de los diálogos de un Agente Conversacional Animado capaz de expresar emociones en su diálogo. Resultando de éste trabajo un Asistente Virtual con Diálogo Emocional que proporciona información sobre la Maestría en Ciencias en Ciencias de la Computación del ITCM."

This paper discusses how to measure happiness from subjective worker's emotion in one's work environment. It is one of the most important and fundamental problems for positive psychology to measure happiness. In positive psychology study, many of scientific and experimental methods have been proposed as happiness testing or questionnaires. The methods are however depending on specific fields, test groups, and purposes of the measurement. The main issue of this paper is to illustrate the objective method by using factor analysis from subjective data of given basic questionnaires. The method is testing by actual data from a case study of workers' happiness. The robustness is confirmed from the testing data by multidimensional analysis.

We have acquired a set of audio-visual recordings of induced emotions. A collage of comedy clips and clips of disgusting content were shown to a number of participants, who displayed mostly expressions of disgust, happiness, and surprise in response. While displays of induced emotions may differ from those shown in everyday life in aspects such as the frequency with which they occur, they are regarded as highly naturalistic and spontaneous. We recorded 25 participants for approximately 5 minutes each. This collection of recordings has been added to the MMI Facial Expression Database, an online accessible, easily searchable resource that is freely available to the scientific community.

E-learning is the basis and logical consequence of the development of information and communication technology. With E-learning, teaching and learning methods in schools that use technology through electronic media such as computers, laptops, netbooks, or smartphones with internet networks or others. This study uses Kansei Word to detect the feelings of users of E-learning applications. The Kansei Word list is used as many 15 words related to the appearance of the E-learning application. E-learning application specimens used 8 specimens. This study involved 80 participants consisting of 40 students from SMK PGRI 3 Cimahi, 40 students from SMK 4 Padalarang. The questionnaire results from participants were then processed using multivariate statistical analysis, namely Cronbach's Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Partial Least Square (PLS) analysis. This study produced 3 recommendations for the design of E-learning application. This recommendation is the result of the Kansei Engineering process which comes from 3 groups of participant data, namely groups of data of all participants, participants of SMK PGRI 3 Cimahi students and participants of SMK 4 Padalarang students. Abstrak E-learning merupakan dasar dan konsekuensi logis dari perkembangan teknologi informasi dan komunikasi. Dengan E-learning, metode pengajaran dan pembelajaran di sekolah yang memanfaatkan teknologi melalui media elektronik seperti komputer, laptop, netbook, atau smartphone dengan jaringan internet atau lainnya. Penelitian ini menggunakan Kansei Word untuk mendeteksi perasaan pengguna aplikasi E-learning. Daftar Kansei Word yang digunakan sebanyak 15 kata yang berhubungan dengan tampilan aplikasi E-learning. Spesimen aplikasi E-learning yang digunakan sebanyak 8 spesimen. Penelitian ini melibatkan 80 partisipan yang terdiri dari 40 orang siswa-siswi SMK PGRI 3 Cimahi, 40 orang siswa-siswi SMK Negeri 4 Padalarang. Hasil kuesioner dari partisipan kemudian diolah dengan menggunakan analisis statistik multivariat yakni Cronbach's Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA) dan analisis Partial Least Square (PLS). Penelitian ini menghasilkan 3 rekomendasi desain tampilan aplikasi E-learning. Rekomendasi ini merupakan hasil dari proses Kansei Engineering yang bersumber dari 3 kelompok data partisipan, yaitu kelompok data seluruh partisipan, partisipan siswa SMK PGRI 3 Cimahi dan partisipan siswa SMK Negeri 4 Padalarang. 1. Pendahuluan Memasuki era teknologi, siapa pun harus bisa mengerti, menguasai, atau minimal mengenal teknologi jika tidak ingin tertinggal, karena saat ini semua kegiatan manusia berkaitan dengan teknologi. Dunia pendidikan juga sedang menggeliat dengan menerapkan metode E-learning pada sistem pengajarannya. Sistem pembelajaran Electronic learning disingkat E-learning adalah cara baru dalam proses belajar mengajar. E-learning tidak hanya berlaku untuk metode pembelajaran secara online saja, tetapi penerapannya bisa secara offline juga, seperti pembelajaran di kelas dengan menggunakan proyektor atau menonton film dvd guna mempelajari sesuatu mengenai beberapa kejadian aktual seperti kejadian bencana gempa, tsunami, dan sebagainya. Beberapa masalah ini adalah bagaimana Bagaimana menganalisis faktor-faktor yang diperlukan dalam merancang desain tampilan aplikasi E-learning dengan Kansei Engineering, menganalisis elemen-elemen desain untuk tampilan aplikasi E-learning, menerapkan Kansei Engineering dalam menyusun rekomendasi desain tampilan aplikasi E-learning.

En la actualidad los personajes virtuales están aplicados en contrastantes contextos como la educación, salud o entrenamiento. Las aplicaciones de los personajes no solo modelan procesos cognitivos, toma de decisiones y aspectos de conducta social, sino que pretenden comunicarse a través de medios verbales y no verbales. Este trabajo presenta un método de caracterización de la expresión no verbal con connotación emocional y de personalidad para un caso aplicativo de un tutor de matemáticas.

More than 1 billion mobile apps (smartphone applications) have been released worldwide. Competition among developers of apps that are available in app stores has intensified because of increasing demand. App icons with an appealing design can instantly increase attention. Miryoku Engineering methods were used and combined with the Kansei interface model to examine the relationship between attractive icons and users. The evaluation grid method (EGM) is a qualitative method that was used to evaluate the icons, and Quantification Theory Type I is a quantitative method that was used to analyze the influence of design elements in icons. Eight attractive factors of app icons were determined using EGM, and six specific factors were identified using questionnaires. The quantitative results indicated that user cognition and emotion were influenced by the various design elements. The impact on the attractive factors of a single design element differed among users with diverse backgrounds. App icons were assessed on the basis of aesthetics to identify attractive factors and thereby assist designers in understanding and implementing design elements and improving the overall visual appeal of their apps. The result of this investigation is crucial to the presentation of app icons in online app stores.

Artificial emotional intelligence refers to technologies that perform, recognise, or record affective states. More than merely a technological function, however, it is also a social process whereby cultural assumptions about what emotions are and how they are made are translated into composites of code, software, and mechanical platforms that operationalise certain models of emotion over others. This essay illustrates how aspects of cultural difference are both incorporated and elided in projects that equip machines with emotional intelligence. It does so by comparing the field of affective computing, which emerged in the North-Atlantic in the 1990s, with kansei (affective) engineering, which developed in Japan in the 1980s. It then leverages this comparison to argue for more diverse applications of the culture concept in both the development and critique of systems with artificial emotional intelligence. (This article belongs to Concepts of the digital society, a special section of Internet Policy Review guest-edited by Christian Katzenbach and Thomas Christian Bächle.)

サービス・ドミナントロジック［1］という経済交換の鋭い洞察に根を張った議論が展開・普及していくなかで，サービスは広義にアクターの資源統合を通じた価値共創プロセスとして捉えられるようになった［2］．この影響を含め，2000年代前半からサービスサイエンス，サービス化，共創といったサービスに関する概念がアカデミアに限らず産業界の耳目を集めたが，その時代の熱気は一段落し，成熟を目指す感がある．これからのサービス経済・社会は何が重要になるであろうか．その手がかりは，ステイクホルダーの幸福やそれを支える環境持続可能性の追求の中から見出せるかもしれない．企業はデータ活用による従業員の幸せな働き方の検討を進め，高齢化が進む社会は高齢者の能力発揮の機会の増進を通じて社会的により良い世界を目指し，世界全体は自然資源との持続可能な関係を見直す方向に舵を切っている．サービスは，幸福や持続可能性を射程に入れた経済・社会の発展のあり方をいよいよ真正面から議論する時代にあるといえる．このような背景のもと，本稿ではサービス研究の中でも，とりわけウェルビーイング（幸福）に注目したTransformative Service Research（TSR）という研究領域について紹介する．そして，同領域でどのようなモデル形成が行われ，感性とど
のような接点が期待されるかを述べる．

The literature suggests that work engagement and job satisfaction are aspects of happiness that lead to various positive organizational outcomes. However, the relationships among happiness, work engagement and organizational commitment still require further investigation as they are context dependent. Often, we do not have a clue on these relationships, when in fact the answer is within us. The study as reported in this paper is an attempt to use KJ Method as a mechanism to develop model of factors that contribute to happiness at work, and classifying the factors into its level of importance. By following the steps in KJ Method, participants brainstorm and prioritize issues and place emphasis on the most important factors, which reveal facts relevant to the problem and build common understanding, thus enable the identification of the causal structure of the problem. The established model could be used as a reference by employers to enhance employees' happiness thus elevates productivity at work, and generate positive happynomics.

This paper describes a substantial effort to build a real-time interactive multimodal dialogue system with a focus on emotional and nonverbal interaction capabilities. The work is motivated by the aim to provide technology with competences in perceiving and producing the emotional and nonverbal behaviors required to sustain a conversational dialogue. We present the Sensitive Artificial Listener (SAL) scenario as a setting which seems particularly suited for the study of emotional and nonverbal behavior since it requires only very limited ...

This paper describes a substantial effort to build a real-time interactive multimodal dialogue system with a focus on emotional and nonverbal interaction capabilities. The work is motivated by the aim to provide technology with competences in perceiving and producing the emotional and nonverbal behaviors required to sustain a conversational dialogue. We present the Sensitive Artificial Listener (SAL) scenario as a setting which seems particularly suited for the study of emotional and nonverbal behavior since it requires only very limited verbal understanding on the part of the machine. This scenario allows us to concentrate on nonverbal capabilities without having to address at the same time the challenges of spoken language understanding, task modeling, etc. We first report on three prototype versions of the SAL scenario in which the behavior of the Sensitive Artificial Listener characters was determined by a human operator. These prototypes served the purpose of verifying the effectiveness of the SAL scenario and allowed us to collect data required for building system components for analyzing and synthesizing the respective behaviors. We then describe the fully autonomous integrated real-time system we created, which combines incremental analysis of user behavior, dialogue management, and synthesis of speaker and listener behavior of a SAL character displayed as a virtual agent. We discuss principles that should underlie the evaluation of SAL-type systems. Since the system is designed for modularity and reuse and since it is publicly available, the SAL system has potential as a joint research tool in the affective computing research community.

The delight design platform (DDP) is a vision of a new integrated design environment that would enable design engineers to consistently design delightful products. Such delightful products satisfy an attractive quality as well as the performance and must-have qualities of the Kano model. The attractive quality depends on a customer's subjective evaluation involving emotion. To implement DDP, we aim to develop a model-based design (MBD) environment that can simulate a customer's affective responses toward digital design models. With this environment, a designer can test their ideas in the early-design phase. In this article, we propose a Kansei database framework as an essential component of the DDP. The Kansei database stores functions that estimate the customer's emotional responses to the design model. Firstly, we propose a Kansei database structure including two indexes, perception and delight, with a delight map as a visualization scheme. Secondly, we propose a cyclic Kansei model of product experience. Based on the model, we propose a methodology to model the user's cognitive structure while interacting with a product, and create the indexes. Furthermore, we discuss the effect of scene-transition expectations on the user's response to a delightful experience.

Considerable studies have explored the proposition that VR tools can facilitate the creation of authentic learning environments, thus improving students’ learning. These studies, however, have their focus on cognitive aspects in learning with little consideration given to the affective or emotional domain. Such situation is due to limited method or framework that could assist the process of linking emotions and design elements of the learning environments. In view of this, this study offers a fresh perspective by proposing the integration of Kansei Engineering (KE) methodology and instructional design in uncovering salient linkages between learners’ emotion and design elements of VR-based learning environments. In order to achieve this, the present study was carried out in three stages. In Stage I, a VR-based learning environment related to the teaching of pedestrian safety skills to young learners (ViSTREET), which was used as a case for the application of the proposed KE approach, was designed and developed. In Stage II, Kansei evaluation was conducted based on the synthesized KE framework. This evaluation process involved 90 participants from three randomly selected secondary schools in Kuching, Sarawak. During the Kansei evaluation process, ten specimens of the developed VR-based learning environment were presented to the participants and they were required to rate their feelings towards the specimens using the provided checklist that consists of thirty Kansei words. The gathered data in the second stage were then analysed using Principal Component Analysis and Partial Least Squares multivariate analysis in Stage III for the purpose of guideline formulation. The results of the analyses revealed the relationships between the salient emotions and specific design elements of the VR-based learning environment. The most influential design elements in inducing positive emotions are environment richness, coaching and information resources. A guideline that can assist instructional designers in translating learners’ emotion into the design of VR-based learning environments was then formulated. Ultimately, this study has proven the potential use of KE concepts in the design of VR-based learning environment with emotional considerations.