Search results

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.

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 second of a two‐part series, this paper aims to explain the design and development of a hybrid system for reverse engineering.

A prediction engine to map the perception of tactile sensations using a neural network engine was developed. Since seventeen mechanical properties form the input ‐ and tactile compfort score is used as the output ‐ a direct reversal of the data set becomes impossible, hence, a hybrid approach was employed. The neural net is coupled with a genetic algorithm engine for the reversal process. The trained neural network acts as the objective function to evaluate the property set while the solution set is generated by Genetic Algorithm (GA) engine. Limitation of the GA and a means to overcome it is discussed. Application software based on the current research is also presented.

Human perception of tactile sensations is non‐linear in terms of the mechanical properties of textile materials.

The paper deals with reverse engineering and discusses application software based on the current research.

Surface characteristics of surface are very important factors for tactile perception in fabric, paper and furniture industries. In order to measure the surface characteristics such as frictional forces in multi-direction and variations of pressure, we designed measurement system attached by 3-component load cell. The hemispherical viscoelastic contact probe was made by silicon rubber as the fingerpad. The coefficients of frictions on the smoother surfaces are increased as compared with rough surface. Also we investigated people's degree of tactile perception about fabrics and compared the surface characteristics.

This paper aims to review the shape sensing techniques using large area flexible electronics (LAFE). Shape perception of humanoid robots using tactile data is mainly focused.

Research papers on different shape sensing methodologies of objects with large area, published in the past 15 years, are reviewed with emphasis on contact-based shape sensors. Fiber optics based shape sensing methodology is discussed for comparison purpose.

LAFE-based shape sensors of humanoid robots incorporating advanced computational data handling techniques such as neural networks and machine learning (ML) algorithms are observed to give results with best resolution in 3D shape reconstruction.

The literature review is limited to shape sensing application either two- or three-dimensional (3D) LAFE. Optical shape sensing is briefly discussed which is widely used for small area. Optical scanners provide the best 3D shape reconstruction in the noncontact-based shape sensing; here this paper focuses only on contact-based shape sensing.

Contact-based shape sensing using polymer nanocomposites is a very economical solution as compared to optical 3D scanners. Although optical 3D scanners can provide a high resolution and fast scan of the 3D shape of the object, they require line of sight and complex image reconstruction algorithms. Using LAFE larger objects can be scanned with ML and basic electronic circuitory, which reduces the price hugely.

LAFE can be used as a wearable sensor to monitor critical biological parameters. They can be used to detect shape of large body parts and aid in designing prosthetic devices. Tactile sensing in humanoid robots is accomplished by electronic skin of the robot which is a prime example of human–machine interface at workplace.

This paper reviews a unique feature of LAFE in shape sensing of large area objects. It provides insights from mechanical, electrical, hardware and software perspective in the sensor design. The most suitable approach for large object shape sensing using LAFE is also suggested.

This study aims to propose and demonstrate a practical application of a new three-part holistic sensory evaluation (HSE) method for textiles and apparel based on the senses of sight, touch, hearing and smell. HSE method development was carefully documented, described and successfully applied to evaluate sensory characteristics and consumer perceptions and acceptance of bacterial cellulose (BC), a novel sustainable material for apparel.

In Part One of the HSE method, research participants described the material in their own words based on the senses of sight, touch, hearing and smell. In Part Two, they rated the intensities and their linking for 25 predetermined attributes describing BC. Part Three measured participants’ overall liking of BC and its perceived suitability for apparel and accessories.

Application of the HSE method resulted in an in-depth understanding of BC material. Areas for material improvements and positive characteristics were identified, providing direction for further development. Consumers found BC suitable for accessories and outer-layer garments but not for apparel.

Sensory evaluation of textiles and apparel has traditionally focused on the senses of touch and sight. The new HSE method allows evaluating the full range of sensory characteristics of materials/products and holistically assessing consumer perceptions. The method is especially useful for novel materials and wearable technology. BC has gained increased interests as a novel sustainable material, yet consumer studies have been lacking. This study reports a comprehensive evaluation of BC material from consumer perspective.

This paper aims to investigate how the physical and sensory environmental triggers interact with subjective consumer evaluations in the production of shopping experiences, an under-investigated theme, despite its relevance.

An interpretative multi-method approach was used by combining video observation with camera eyeglasses and in-depth interviews with 30 customers of a department store.

Results offer a holistic framework with four-dimensional axial combination involving physical comfort, psychological comfort, physical product evaluation and sensorial product evaluation. Based on this framework, results highlight the role of comfort and products in producing shopping experience in ordinary store visits.

The findings contribute both to consumer experience studies and to the retail marketing literature in shading a light on experience production in ordinary store visits. Specifically, we detail these visits not as a static response to a given environment stimulus, but as a simultaneous objective and subjective combination able to produce experience.

The results encourage managers to understand the experience production not just as an outcome of managerially influenced elements, like décor or odor. It involves considering subjective elements in the design of consumers’ physical and sensorial retail experiences.

Adopting an innovative method of empirical data collection, results generated a framework that integrates the objective shopping environment and subjective consumer responses. This research considers the role of comfort and product features and quality both physically and sensorially to develop experiences in a holistic manner in ordinary shopping visits.

The purpose of this paper is to analyze and access the extent that emotion contagion (EC) affects the passenger aggressive behavior, and then reveal key factors triggering the passenger mass violence event (MVE) under an irregular flight situation.

This paper presents the group behaviors simulation framework based on multi-agent. The EC model is put forward to explore the EC effect among passengers, integrating the influence of intervention measures, power difference and intimacy. Moreover, the authors propose the aggressive behavior decision-making model tailed to the passenger MVE by combining the improved social force model and adaptive neuro-fuzzy inference system.

The experiment results show that the method proposed in this paper can simulate the realistic evolution process of passenger MVE .The EC effect among passengers is the catalyst for the quick spreading of MVE. The intervention measures, such as providing food and endorsing service, can effectively prevent from the MVE situation deterioration.

The research of this paper has important practical significance for the evolution analysis of passenger MVE and provides the basis for airport safety management.

The texturalcentric model of non‐attribute‐based visual and tactile response to textural fabric surfaces was used to elicit definitive qualities or dimensions of textural fabric surfaces. Multidimensional scaling analysis permitted subjects to provide numeric judgements of fabrics rather than using words with individuals' historic definitions of those terms, or without understanding some terms. Objectives of the study included validating the attributes identified by college students, and ascertaining the persistence of attributes that contribute to visual and tactile perception of adult women (25–45 years of age) and older women (60 years of age and older). One‐hundred‐and‐twenty subjects (50 per cent adult, 50 per cent older) provided visual or tactile ratings of the similarities of 30 fabrics. Data were subjected to multidimensional scaling analysis and coefficients of congruence were calculated. Dimensions or characteristics of fabrics were named using bipolar adjectives: rough to smooth, plane to depth, irregular to regular surface units, shiny to matt, fine to coarse, lightweight to heavyweight, simple to complex, hard to soft compressibility, pliable to stiff, harsh to slippery, small units to large units, open to compact, and soft to bumpy‐rough. From these, a schema for the textural perception of fabric surfaces, was modelled.