Kansei Engineering

An important strand of research that is often neglected in the field of affective computing is that of how users respond to simulated displays of emotion. We present an overview of the few studies that have explicitly investigated this space and discuss a number of issues related to simulated emotion research. An overview of our own work in this area is then provided, along with forthcoming studies that we plan to conduct. We conclude with a number of suggestions of where future research in this space should focus.

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.

This paper describes a substantial effort to build a real-time interactive multimodal dialogue system with a focus on emotional and non-verbal interaction capabilities. The work is motivated by the aim to provide technology with competences in perceiving and producing the emotional and non-verbal behaviours 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 behaviour, since it requires only very limited verbal understanding on the part of the machine. This scenario allows us to concentrate on non-verbal 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 behaviour 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 analysing and synthesising the respective behaviours. We then describe the fully autonomous integrated real-time system we created, which combines incremental analysis of user behaviour, dialogue management, and synthesis of speaker and listener behaviour 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.

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 ...

This paper is looking at the ways of incorporating engineering emotional values into product design through Kansei engineering. The first part of the paper describes the Kansei engineering methodology. The second attempts to link emotions and product properties through various methods from Kansei engineering. Some results from the second part have been used in the first part as illustrated examples. The second part is used to validate Kansei engineering methodology through this study some questions have been investigated: Which methods within Kansei engineering can be deployed in design practices? Is Kansei engineering a tool which can be used by most designers to link emotions and product properties? Do users know how to describe their ideal products through words? And what is the future for Kansei engineering in India?

Trends in product development today indicate that many products will become hard to distinguish by the customer due to functional equivalency. Customers will therefore base their decisions on more subjective factors. Moreover, products will in future consist to a higher grade, of a combination of a tangible and intangible part. Kansei Engineering is a tool translating customer's feelings into concrete product parameters and provides support in future product design. The aim of this paper is to propose a framework in Kansei Engineering facilitating the understanding of the different types of Kansei Engineering and opening Kansei Engineering for the integration of new tools. The new structure includes the choice of a product domain, which can be described from a physical and a semantic perspective building a kind of vector space each. For the latter mentioned space the Semantic Differential Method is used. In the following step the two spaces are merged and a prediction model is built, connecting the semantic space and the space of product properties together. The resulting prediction model has to be validated using different types of post-hoc tests.

The total number of the world's major mobile platform apps at the end of 2011 already exceeded one million! Worldwide mobile app store downloads surpassed 45.6 billion in 2012 according to a global survey. With the prevalence of smartphones, more and more apps are being developed and integrated into people's lives. App demand increases and operation time of app is also getting longer and longer. Mobile app store competition is fierce, and an appropriate app icon design on the top will be important. A charming app icon will gain the advantage of a positive first impression when users browse available apps. The hypothesis of this study is that the constituent elements of an app icon will affect user psychology, and the aim of this study is to clarify the issues above with the development of the following research purposes: 1) to understand the types of aesthetic elements in app icons, 2) to clarify the relationships among the classifications of icon design styles, 3) to explore the relationship between icon style and users reactions, 4) to investigate the new issue related to the skeuomorphism of app icon design styles. The research methods include the evaluation grid method structure (EGM) from Miryoku engineering, quantification theory types I and III from the quantitative understanding of style classification, and the use of regression to identify the potential relationship between icon style and user emotions. The goal is build an interface design principle in order to provide another reference direction for app icon design. Finally, the study proposes a result with a kansei interface (KI) to depict the relationships among app icon constituent elements for users and designers as a follow-up to the icon design studies in the future.

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.

Engineering appealing products has always been the goal of consumer goods companies where competitive markets and crowded supermarket shelves has lead to greater consumer power. Brands are very powerful in this arena and influence both packaging attributes and consumer perceptions. Packaging must now communicate, attract and intrigue the consumer to positively influence the purchase decision. We have developed a packaging design toolkit based upon Kansei Engineering (Nagamachi, 02) to translate consumer perceptions into design attributes. However the original Kansei Engineering offered little support for the consideration of brand requirements. Thus, we have developed new methods using additional contributions from research in the fields of Psychology and Marketing to extend the scope of the toolkit to include consideration of the brand. We have also supplemented the technique with linguistic expertise to improve the selection process for the adjectives used in the consumer survey which has improved the robustness and repeatability of the results. This paper presents an overview of the toolkit using illustrative case studies to describe the application of the toolkit to "live" projects. The case studies demonstrate how this Kansei Engineering variant has real value within the packaging development process to inform concept selection decisions based upon actual consumer insights.

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.

In recent years, product emotion and affective design has received encouraging attention from the industry as well as academia all over the world. Several methods and tools exist and used to assist the process of evaluating users' emotional experience, and the proceeding associated procedure. Previous studies involving the assessment of emotion have seen different ways used to represent verbal description of the subjective emotion. Most of them set their basis on several keywords that somehow fit to describe the study domain. However, these have lead to many cases of poor semantic dimension, since a good reference for affinity of words does not exist. This research aimed to develop a full-range of emotional keywords and their affinity cluster by the use of KJ Method. As a result, a total of 820 words were derived and forty-three clusters were generated. The resulting cluster is developed into Kansei Affinity Cluster, which will be a good reference for all studies involving the assessment of emotion. It will benefit the industry as well as academia towards accessing users' subjective emotional experience with product design.

Despite the rapid and continuous evolution of computer games, Articial Intelligence (AI) has not followed the same pace of development generating inappropriate behavior on virtual agents. There are numerous research fronts with approaches to reduce this problem, however, is dicult to get close of the expected behavior of human beings.

Penelitian ini dilakukan pada Lusmas Fresh Milk Shampo sebagai produsen shampo berskala kecil untuk mendapatkan suara dari pelanggannya mengenai kualitas produk shampo dengan menggunakan metode Kansei Engineering dan Structural Equation Modeling (SEM). Wawancara dilakukan terhadap 30 responden untuk mendapatkan kansei words yang kemudian dikategorikan ke dalam empat dimensi kualitas yaitu Features, Aesthetics, Perceived Quality dan Modern Information Method. Kansei word yang didapatkan digunakan sebagai kuisioner yang disebarkan terhadap 100 responden. Hasil kuisioner diolah dengan SEM untuk mengetahui variabel yang signifikan terhadap kualitas produk. Variabel yang paling signifikan adalah Features (t-test value 5.69), Aesthetics (5.69) dan Modern Information Method (2.31) dengan indikator yang paling signifikan adalah citra produsen, persepsi konsumen terhadap merek "Lusmas" serta ukuran botol yang sesuai untuk dibawa traveling. Rekomendasi yang diberikan untuk meningkatkan kualitas produk shampo adalah desain label botol baru serta variasi ukuran botol shampo, lebih menonjolkan khasiat serta kandungan multinutrisi, mengubah ukuran goody bag, mengoptimalkan penggunaan media internet, meningkatkan intensitas mengikuti event serta mengiklankan produk melalui radio.

We present HapFACS (ver. beta), a new open source software and API for generating FACS-based facial expressions on 3D virtual characters that have accompanying lipsynchronized animation abilities. HapFACS has two main usage scenarios: First, with the HapFACS software, users can generate repertoires of realistic FACS-validated facial expressions, either as static images or as videos; Second, with the accessible HapFACS API, users can animate speaking virtual characters with real-time realistic facial expressions, and embed these expressive characters in their own application(s) without any prior experience in computer graphics and modeling. We describe how HapFACS (1) provides control over 49 FACS Action Units at all levels of intensity; (2) enables the animation of faces with a single AU or a composition of AUs, activated unilaterally or bilaterally; and (3) can be applied to any supported character in the underlying 3D-character system 1 . Finally, we provide details of evaluation experiments we conducted with FACS-certified scorers to validate the facial expressions generated by HapFACS.

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.)

In product development, it is very important for manufacturers to find out what the customer wants from the product. On the other hand, manufacturers do not know clearly about what the customer wants from the product. This study proposes an evaluation method of product design using Kansei engineering methods and association rules approach. Using rattan dining chair as the object, the chair design divided into five elements, which are backrest, seat, armrest, base and woven. In this study, Kansei words from customers such as beautiful, unique, innovative, comfortable, natural, modern, sturdy and simple can be translated in to element design. Using the support and confidence values, if-then rules can be used as the basis for the assessment of rattan dining chairs.

Traditional education system continuously converts to the e-Learning method and three dimensional virtual environment becomes powerful way of delivering knowledge. Learning environment and non-verbal communication are highly influence to the performance of the student. Avatar is a graphical representation of the user in virtual world. It has only ordering connection with the student and Avatar, and virtual world seems some artificial atmosphere. In here, a system is developed to visualize the real user facial emotion through the face of the Avatar in virtual world. Extraction of the real user facial emotion, creation of emotion models in virtual world and establishment of connection between real world and virtual world are the major steps to accomplish the aim of this research. Real user facial expression identification system is constructed based on the Geometric feature-based method. Avatar changing system is implemented in virtual environment and it is included four basic facial expressions. Ultimately, the facial expressions of the real user are transferred to the virtual environment and it is appeared on the face of the Avatar. Facial emotion of the student is visualized through the Avatar in the Virtual Learning Environment. An experiment was conducted with this facial emotion system and it was carried on as a discussion. During the experiment, student discussed with their facial emotion with the live Avatar. The result of the experiment showed that, facial emotional Avatar is important to e-Learning and it is increased the reality of the learning environment. Further, it indicates that the engaging with three dimensions Virtual Learning Environment with facial emotion is very interesting thing and that is a plus point for future e-Learning.

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.

Kansei engineering is a technology for translating human feelings into product design. Several multivariate analyses are used for analyzing human feelings and building rules. Although these methods are reliable, they require large computing resources. It is difficult for general users to deal with many variables because of small personal computers, and the need for the user to be an expert on statistics. This paper presents an automatic semantic structure analyzer and Kansei expert systems builder using self-organizing neural networks, ART1.5-SSS and PCAnet. ART1.5-SSS is our modified version of ART1.5, a variant of the Adaptive Resonance Theory neural network. It is used as a stable non-hierarchical classifier and a feature extractor, in a small sample size condition. PCAnet performs principal component analysis based on generalized Hebbian algorithm by Sanger (1989). These networks enable quick and automatic rule building in Kansei engineering expert systems. AKSYONN4 system is the automatic builder for Kansei engineering expert systems because it uses self-organizing neural networks. The system enables 'real-world' applications of Kansei engineering in product development.

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.

In order to construct an intelligent presentation system for the elder, one of problems encounted is how to design a suitable briefing theme to meet their emotion needs for rendering the affection content. Hence, the aim of this study was to determine how to design and to what factors influence the perception of affective briefing presentation. Kansei Engineering was used to describe a product domain from a physical and semantic point of view. Subjective evaluations were carried out by semantic differential methods, and then analyzed by using multiple linear regression and Quantification Theory Type I. We gathered the results concerning the relationship between an impression and characteristics of briefing presentation to understand the conditions used to create a desire impression.

Jl. Ahmad Yani Tromol Pos I Pabelan Surakarta Telp (0271) 717417 ext 237 ABSTRAKSI Semakin berkembangnya jaman, tentu banyak keinginan konsumen untuk memiliki produk yang punya banyak fungsi. Salah satunya obyek penelitian ini adalah dapur. Bagaimana jika dapur yang permanen ditempat dapat kita gunakan untuk berbagai keperluan. Tujuan dari penelitian ini adalah untuk mengetahui dan mengembangkan desain dengan menentukan nilai-nilai kategori untuk mendapatkan output pengembangan dalam desain Kitchen. Metode yang digunakan adalah Kansei Engineering dan Snook Table. Kansei Engineering merupakan sebuah metode sebagai jembatan atas keinginan konsumen terhadap desain produk yang diinginkan, dengan cara mendefinisikan keinginan konsumen yang teridentifikasi melalui kata-kata kansei ke dalam desain produk. Kemudian analisa Conjoint digunakan untuk mendapatkan nilai hubungan antara desain elemen dan Kansei Word. Sedangkan Snook Table adalah salah satu jenis dalam ilmu biomekanika. Jika prosentase populasi melebihi dari 10% maka harus dilakukan perbaikan secepat mungkin. Hasil dari penelitian ini adalah persamaan regresi yang ditafsirkan oleh nilai pengujian dari image konsumen dan desain elemen. Dari 40 penguji, peneliti mendapatkan 10 pasang Kansei Word yang mewakili kata-kata yang tepat dengan mempertimbangkan produk yang ditawarkan. Hasil analisa Conjoint yaitu bentuk oval, kapasitas kecil dengan spesifikasi 25-50 kg, bahan berupa kayu, warna campuran, dan aksesoris berupa tempat racikan. Pada pengujian alat tersebut dengan beberapa MMH diantaranya mengangkat, menurunkan, mendorong, dan menarik. Hasil yang didapatkan dari pengujian tersebut adalah mayoritas berada pada diatas 10% . Maka dapat dikatakan produk yang dibuat mengacu pada desain yang ergonomis.

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.

Objek wisata merupakan sarana hiburan bagi masyarakat. Kondisi prasarana dan sarana di objek wisata sangat mempengaruhi minat masyarakat untuk berkunjung. Objek Wisata Hutan Solear memiliki prasarana dan sarana yang kurang memadai sehingga minat masyarakat untuk berkunjung masih sangat rendah. Karena itu perlu dilakukan rancangan perbaikan prasarana dan sarana dengan mengetahui keinginan para pengunjung. Metode yang digunakan adalah metode Kansei Engineering. Prasarana dan sarana hasil rancangan di objek wisata tersebut yaitu: (1) tempat parkir diperluas sehingga sebesar ±100 m di sebelah kanan dan ±100m di sebelah kiri; (2) tempat berjualan makan, minuman, dan aksesoris dibuat perblok sehingga tertata rapi dan bersih; (3) jumlah toilet umum diperbanyak menjadi 8 buah yang masing-masing dilengkapi dengan lampu dan ventilasi; (4) ukuran mushola yaitu 10x15m dilengkapi dengan 4 buah jendela disetiap sisi dan 2 buah pintu; (5) tersedia jalan setapak/beraspal di sekitar objek wisata; (6) perbaikan dan penambahan jumlah tempat duduk sebanyak 16 buah; (7) tersedia sarana bermain anak seperti ayunan, jungkat-jungkit dan outbond dilahan seluas 500m; (8) tersedia 2 buah jembatan yang berkontruksi rotan; dan dibangun pagar yang mengelilingi objek wisata. Dengan hasil rancangan tersebut, Objek Wisata Solear diharapkan mampu menjadi objek wisata andalan khususnya masyarakat Kabupaten Tangerang dan umumnya masyarakat luas. Kata Kunci : Objek Wisata Solear, Kansei Engineering BAB I PROFIL PERANCANGAN Kabupaten Tangerang dikenal sebagai kawasan industri, namun sebenarnya tersimpan potensi di bidang pariwisata. Salah satunya adalah objek wisata hutan Solear yang terletak di Kecamatan Solear sekitar 17 kilometer dari Tigaraksa, pusat pemerintahan Kabupaten Tangerang. Hutan Solear memiliki luas sekitar 4,5 hektar. Di hutan ini terdapat 500 hingga 600 ekor kera liar dan juga makam seorang ulama dari Banten bernama Syekh Mas Masad bin Hawa. Hutan Solear menjadi aset bagi masyarakat sebagai ladang mata pencaharian selain bertani. Secara swadaya, masyarakat memelihara kelestarian alam dan menjual makanan kera setiap hari libur nasional, terutama libur bulan Maulid dan libur Idul Fitri. Sejak lama nama Solear populer secara alami, belum ada pengelolaan yang serius dari pemerintah setempat ataupun pihak swasta yang ingin mengembangkan tempat ini. Sejumlah fasilitas umum bagi pengunjung tampak tidak terawat dengan baik. Tempat duduk yang terbuat dari semen sudah banyak yang berlumut begitu pula yang terbuat dari kayu sudah banyak yang lapuk dan hampir roboh, kondisi toilet umum belum cukup baik, tempat beribadah (mushola) sempit dan gelap, tempat parkir yang tersedia sempit dan sangat berlumpur pada saat turun hujan. Dengan kondisi tersebut, fokus penelitian ini diarahkan untuk membuat rancangan prasarana dan sarana yang lebih baik dan lengkap bagi pengunjung Objek Wisata Hutan Solear sehingga memperbesar daya tarik masyarakat untuk mengunjunginya dan dapat menjadi objek wisata andalan khususnya masyarakat Kabupaten Tangerang dan umumnya masyarakat luas. Selain itu, dengan meningkatnya jumlah pengunjung akan memberi peluang yang besar bagi masyarakat sekitar untuk mendapatkan penghasilan yaitu dengan berjualan makanan dan minuman, aksesoris, pakaian, dan lain sebagainya. BAB II HASIL SURVEI KEPADA KONSUMEN Hasil Survei yang Kami peroleh dari penyebaran kuesioner kepada 20 orang pengunjung Objek Wisata Hutan Solear di Kabupaten Tangerang yaitu: A. Fasilitas Tersedia 1=sangat buruk, 2= buruk, 3=sedang, 4=baik, 5=sangat baik Berdasarkan tabel di atas, dapat disimpulkan bahwa besarnya biaya parkir di Objek Wisata Hutan Solear tergolong agak mahal (65% pengunjung memilih nomor 2). Biaya parkir pada hari biasa yaitu sebesar Rp 3000 untuk kendaraan roda dua dan Rp 5000 untuk kendaraan roda empat. Namun, pada hari minggu, libur nasional, libur lebaran, Maulid Nabi Muhammad SAW, Isra Mi'raj, tahun baru Hijriah dan Masehi, biaya parkir mencapai Rp 5000 untuk kendaraan roda dua dan Rp 7000 untuk kendaraan roda empat. Biaya toilet umum tergolong sedang (65% pengunjung memilih nomor 3). Biaya toilet umum di Objek Wisata Solear sebesar Rp 2000. Kondisi tempat duduk

Kansei Engineering has been applied to product development for customer satisfaction based on ergonomic technology. The system is composed of three parts such as Kansei analysis, inference mechanism, and presentation technologies. The inference mechanism by which human Kansei is translated into design elements plays an important role in Kansei Engineering. The reasoning logic in the system must satisfy several conditions. First, the whole aspects of design elements must be considered in the reasoning processes. Second, the reasoning logic can make the discrimination between Kansei words selected by customers and other words. Third, the reasoned results must have reliability high enough to reduce the di!erence between customer's image and reasoned design elements.