Design of affective interface for realizing human-machine empathy

Shimoda, Hiroshi; Kunihiro, Takanobu; Yang, Dongseok; Yoshikawa, Hiroyuki

doi:10.1109/iecon.2000.972406

Cited by 2 publications

(3 citation statements)

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“…The HSE comprehends human sensitivity features by measuring human senses and developing index tables related to psychology and physiology. Shimoda et al (2000) have focussed the study on the development of an emotive interface to realize human computer empathy by using facial expressions synthesis based on the researches in the field of psychology.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They are advocating a judicious mix of science and art and rationality and emotionality in design so that it can trigger happiness and positive emotions (Campbell, 1996; Han and Hong, 2003) in the users to match with their lifestyle and environment (Bouwhuis, 2000). Some designers have also suggested emotive interface using psychological researches to realize human‐computer empathy (Shimoda et al , 2000) and developed index tables related to psychology and physiology (Yoon et al , 2005). These concepts of industrial engineering design can be extended and applied to DFM.…”

Section: Observations and Directions For Future Researchmentioning

confidence: 99%

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A kaleidoscopic view of psychology in design for maintainability of mechanical systems

Kumar

Khan

Gandhi

2011

Journal of Engineering, Design and Technology

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PurposeThe purpose of this paper is to review the literature on design for maintainability with emphasis on psychology and cognitive sciences and suggest possible gaps from the point of view of researchers and practitioners.Design/methodology/approachThe paper systematically reviews the published literature and then analyzes it methodically.FindingsThe paper discusses a new shift in engineering design, in general, and design for maintainability (DFM) of mechanical systems, in particular.Practical implicationsLiterature on DFM of mechanical systems with psychological factors has so far been very limited. This paper reviews a number of papers from the field of mechanical engineering and other related branches of engineering, along with important papers from the field of psychology and cognitive sciences. Subsequently, various merging trends in the field of DFM are identified to help researchers specifying gaps in the literature and direct the research efforts suitably.Originality/valueThe paper contains a comprehensive listing of publications in the field of maintainability from the psychology point of view. The paper will be useful to researchers, designers, maintenance professionals and others concerned with maintainability of a system. This paper is equally useful for the researchers and design professionals from the domain of engineering design irrespective of their field of application.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Observations and Directions For Future Researchmentioning

confidence: 99%

A kaleidoscopic view of psychology in design for maintainability of mechanical systems

Kumar

Khan

Gandhi

2011

Journal of Engineering, Design and Technology

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“…Along with that the analytic approach to form computer interactive software is followed. In this facial expression recognition, 18 feature values can be obtained from the 16 feature points marked on the facial features like eyelids, eyebrows and lips which are extracted from the facial images captured by a color web camera [2]. Taking into consideration of well-description of AUs and easiness for image processing, the feature points were obtained and corresponding feature values were decided as shown in Figure 2.…”

Section: Figure 1: Five Basic Emotions Of Humansmentioning

confidence: 99%

FCA: A Proposed Method for an Automatic Facial Expression Recognition System using ANN

Mahajan¹,

Mahajan²

2013

IJCA

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Facial Expression plays an important role in human communication, allowing people to express themselves without the use of any verbal means but still understanding each other's mood. Thus the interfaces must have the ability to detect any kind of change in the behavior of the user and to communicate based on the information available through interaction rather than the commands given by user. Thus, facial expression recognition is a challenging problem in computer vision. The project retrieves real-time images from a webcam and converts them to gray scale images. In facial feature expression recognition system we calculate 18 feature values from 16 feature points extracted from facial images. Then, these pre-defined feature vectors extracted from the images are sent to multilayer perceptron network for training and classification using back propagation. Using the result, the software will be able to develop human computer interaction and to judge the emotions of the user. The main aim is to work upon five different emotions -neutral, happy, sad, surprised and fear. Using only two-thirds of the total features, our approach achieves a classification rate (CR) which is higher than the CR obtained using all features. The system also outperforms several existing methods, evaluated on the combination of existing and self-generated databases. \

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Design of affective interface for realizing human-machine empathy

Cited by 2 publications

References 1 publication

A kaleidoscopic view of psychology in design for maintainability of mechanical systems

A kaleidoscopic view of psychology in design for maintainability of mechanical systems

FCA: A Proposed Method for an Automatic Facial Expression Recognition System using ANN

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