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For robots to more actively interact with the surrounding environment in object manipulation tasks or walking, they must understand the physical attributes of objects and surface materials they encounter. Dynamic tactile sensing can effectively capture rich information about material properties. Hence, methods that convey and interpret this tactile information to the user can improve the quality of human–machine interaction. This paper aims to propose a visual-tactile cross-modal retrieval framework to convey tactile information of surface material for perceptual estimation.

The tactile information of a new unknown surface material can be used to retrieve perceptually similar surface from an available surface visual sample set by associating tactile information to visual information of material surfaces. For the proposed framework, the authors propose an online low-rank similarity learning method, which can effectively and efficiently capture the cross-modal relative similarity between visual and tactile modalities.

Experimental results conducted on the Technischen Universität München Haptic Texture Database demonstrate the effectiveness of the proposed framework and the method.

This paper provides a visual-tactile cross-modal perception method for recognizing material surface. By the method, a robot can communicate and interpret the conveyed information about the surface material properties to the user; it will further improve the quality of robot interaction.

The first of a two‐part series, this paper aims to discuss the design and development of an artificial intelligence‐based hybrid model to understand human perception of the tactile properties of textile materials and create an objective system to express those tactile perceptions in terms of measurable mechanical properties.

A forward engineering system using the Model Free Algorithm approach of the Artificial Intelligence Technique to predict the tactile comfort score is presented.

Human perception of tactile sensation is based on the weighted stimulus perceived by the human neural system.

Contribution to intelligent textile and garment manufacture.

The purpose of this paper is to present the design, analysis, fabrication, and assembly of four tooth annular microfabricated tactile sensors integrated with the upper and lower jaws of an endoscopic surgical grasper tool, in order to determine the properties and particularly the compliance of the biological tissues during minimally invasive surgery.

A viscoelastic Kelvin model is employed for tissue characterization. A comprehensive closed form and finite element analysis has been carried out to express the relationship between the force ratio, compliance, and the equivalent viscous damping of the tissue. The designed sensor uses a polyvinyledene fluoride film as its sensing element. The sensor consists of arrays of rigid and compliant elements which are mounted on the tip of an endoscopic surgical grasper tool. Relative force between adjacent parts of the contact object is used to measure the viscoelastic properties.

The tactile sensor is able to characterize different viscoelastic properties of tissues. The experiments validate analytical and finite elements results.

The sensor is designed to integrate with the actual endoscopic tools to measure the softness of tissues.

A novel sensor‐tissue model is presented to characterize the variety of biological tissues.

The purpose of this paper is to develop a comprehensive conceptual framework of visual-tactile interplay and consumer responses in brand, product and servicescape contexts.

This paper performs a literature review of visual-tactile interplay by reviewing prior research in marketing and psychology.

The review reveals that visual-tactile interplay provokes various consumer responses depending on whether brands, products or servicescapes are used. The paper develops a comprehensive conceptual framework mapping out visual-tactile interplay and the relationship with consumers’ cognition, emotions and behaviors.

A conceptual model was developed with a novel view on how visual and tactile cues can together influence consumer responses.

This paper shows how visual-tactile interplay is successful in brand, product and servicescape contexts and provides practical insight for firms into how to provoke consumers’ cognitive, emotional and behavioral responses.

This paper contributes to existing literature by developing a conceptual framework and model of visual-tactile interplay and consumer responses by drawing on research in marketing and psychology.

Using the framework of a general study on the ‘spinnability’ of silk/cotton blends, studies have been carried out to characterize the mechanical properties and tactile feeling of these blended textiles for different blend proportions, processing, and yarn count. The variable spinning parameters include the type of silk fibre, the blending technique (intimate and drawframe blending) and the silk content in the blend (25 and 50&), as well as the pure cotton used as the reference. Yarns and knitted fabrics have been produced and tested using classical processing methods and test instruments. However, the instrumental test measurements do not seem to be relevant for characterizing the influence of the variable processing parameters on the hand improvement of the final knitted fabric. Therefore, sensory analysis methodologies have been used to objectively describe the tactile feeling of these products compared to the cotton one. In this paper, the results of both analyses show that the changes in the physical properties of the blended yarns and the tactile feeling of the knitted fabrics are affected more by the blending technique than by the silk content.

This paper traces the evolution of objective measurement of textile hand and comfort from Pierce through modern methodology and approaches. Special emphasis is given to discuss the contribution of the Kawabata Evaluation System (KES) towards advancing the state of objective measurement. Laboratory case studies are used to show how data generated by the KES and other instruments can be integrated into a comprehensive approach that attempts to explain human comfort response to garment wear in terms of fabric mechanical, surface and heat and moisture transfer properties.

In the field of knitwear, dimensional stability is assumed as a critical problem that affects the quality and salability of a product. Although much work has been done in this area with a focus on the factors affecting fabric shrinkage, however, there is a lack of work on knitwears with respect to their dimensional stability. The purpose of this paper is to investigate the impact of stitching parameters and wash types on the dimensional properties of knitwear.

The crew-neck t-shirts were prepared by using pique knitted fabrics. Different sewing and finishing parameters were used that include stitch density, stitch type, stitching thread and wash type. The critical measurements of the selected garment are taken as output variables which are body width, sleeve length, body length and across shoulder. After laundering process, shrinkage percentage was calculated by using before-wash and after-wash measurements.

This study shows that the stitching parameters affect significantly on knitwear’s shrinkage. Thus, when patterns are being developed for the cutting of fabric, expected shrinkage, known as residual shrinkage, must be considered to avoid unexpected changes in garment shape.

This research will be useful for knitwear manufacturing industry.

There has been an increased interest in marketing literature in understanding the role of sensory experience. However, few researchers have addressed multisensory interaction of visual and tactile evaluation for products salient in single sensory modality. The purpose of this paper is to address this gap and investigate how multisensory evaluation influences overall attitude and purchase intentions. Further, the role of individual personality variable in influencing the interrelationship between sensory evaluation and behavioral outcomes are examined.

The data for this study were collected from 126 students who responded to attitude towards the product and purchase intentions after evaluating three experimental tasks. Repeated measures analysis of variance was carried out to test the multisensory interaction hypotheses.

The multisensory interaction of tactile and visual information was found to significantly increase the consumer attitudes for products dominant on single sensory modality of touch. Further, the multisensory evaluation led to greater purchase intentions than visual or tactile evaluation.

The paper is perhaps first to investigate multisensory interaction of tactile and visual sensory information in evaluation of products that are salient in touch properties. The current study further examines the role of individual personality variables in influencing interrelationship between sensory evaluation and purchase intentions.

This paper aims to analyze the effects of web communities vs company websites in providing tactile information considering different types of product in terms of touch diagnosticity (low- vs. high-touch products).

Three experimental studies were conducted to examine the effect of online information sources (i.e. web communities vs. company websites) in providing tactile information on consumer responses, considering the moderation role of product type in terms of touch diagnosticity (low- vs. high-touch products, Study 1), the moderating role of type of information (tactile vs. generic, Study 2a); and the moderating role of need for touch (NFT) (Study 2a and 2b).

While previous research converges on the idea that the provision of a written description of tactile properties deriving from the product usage is particularly effective for products for which tactile information is diagnostic and for individuals high in NFT, the results demonstrated that the presence (vs. the absence) of the description of the tactile properties provided by web communities (vs. company websites) matters for those products for which touch is not diagnostic and for individuals low in NFT.

The findings have particular relevance for emerging brands intending to commercialize their products in the digital environment. These companies should be present in web communities to describe a product’s tactile characteristics, especially if not diagnostic.

This paper significantly contributes to a better understanding of a little studied area, namely, consumer responses toward haptic compensational strategies providing haptic cues (e.g. written description of tactile information along with pictures of products) aiming at compensating for the absence of touch, underlining the differential influence of online sources of tactile information on consumer responses across different types of products.

The purpose of this paper is to introduce a new tactile array sensor into the medical field to enhance current robotic minimally invasive surgery (RMIS) procedures that are still limited in scope and versatility. In this paper, a novel idea is proposed in which a tactile sensor array can measure rate of displacement in addition to force and displacement of any viscoelastic material during the course of a single touch. To verify this new array sensor, several experiments were conducted on a diversity of tissues from which it was concluded that this newly developed sensory offers definite and significant enhancements.

The proposed array sensor is capable of extracting force, displacement and displacement rate in the course of a single touch on tissues. Several experiments have been conducted on different tissues and the array sensor to verify the concept and to verify the output of the sensor.

It is shown that this new generation of sensors are required to distinguish the difference in hardness degrees of materials with viscoelastic behavior.

In this paper, a new generation of tactile sensors is proposed that is capable of measuring indentation time in addition to force and displacement. This idea is completely unique and has not been submitted to any conference or journal.