scholarly journals The influence of tactile information on the human evaluation of tactile properties

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Shin Young Jang ◽  
Jisoo Ha

AbstractVirtual technologies such as haptic devices and virtual try-ons have been developed to bring more certainty to the non-touch shopping experience; however, they are still no substitute for the in-person experience. In order to resolve the current limitations of haptic technology, it is necessary to carry out fundamental research on the ways in which humans perceive and discern different tactile properties. This study investigated how vision and physical touch affect the evaluation of the tactile properties of knitwear and discovered factors that affect tactile evaluation in a non-touch environment. The result of this study proved that humans can perceive tactile properties similarly when they are able to physically touch the fabric, whether their vision is obstructed or not. However, participants were unable to accurately perceive the tactile properties of knitwear when they evaluated fabrics using only visual materials, especially stretchiness and flexibility. It is confirmed that a surface haptic experience could increase the accuracy of stretchiness and flexibility evaluations, but it did not help in the evaluations of fabric thickness and heaviness. Findings from interviews suggested that the shape, width and number of folds, density, and thickness of the yarn are all major factors that influence the tactile perception of knitwear when participants could only evaluate properties through on-screen visual materials. Findings from this study contributes to the improvement of the consumer experience in the contact-free shopping environment and can be used as a fundamental guide to human perception of clothing, which can support technologies such as haptic devices.

2021 ◽  
Vol 11 (10) ◽  
pp. 4399
Author(s):  
Masoud Moghaddasi ◽  
Javier Marín-Morales ◽  
Jaikishan Khatri ◽  
Jaime Guixeres ◽  
Irene Alice Chicchi Giglioli ◽  
...  

Virtual reality (VR) in retailing (V-commerce) has been proven to enhance the consumer experience. Thus, this technology is beneficial to study behavioral patterns by offering the opportunity to infer customers’ personality traits based on their behavior. This study aims to recognize impulsivity using behavioral patterns. For this goal, 60 subjects performed three tasks—one exploration task and two planned tasks—in a virtual market. Four noninvasive signals (eye-tracking, navigation, posture, and interactions), which are available in commercial VR devices, were recorded, and a set of features were extracted and categorized into zonal, general, kinematic, temporal, and spatial types. They were input into a support vector machine classifier to recognize the impulsivity of the subjects based on the I-8 questionnaire, achieving an accuracy of 87%. The results suggest that, while the exploration task can reveal general impulsivity, other subscales such as perseverance and sensation-seeking are more related to planned tasks. The results also show that posture and interaction are the most informative signals. Our findings validate the recognition of customer impulsivity using sensors incorporated into commercial VR devices. Such information can provide a personalized shopping experience in future virtual shops.


Author(s):  
Yi M. Guo

In this chapter, a model of online shopping experience is proposed to unify previous works of online consumer experience. Online shopping experience (OSE) is the interaction between shoppers and commercial web sites. It consists of physical, cognitive, and affective activities, and in-progress responses. Factors influencing shopping experience include individual characteristics of shoppers, characteristics of stores and commercial web sites, characteristics of products and shopping task, and other contextual factors. The outcomes of shopping experience have been studied in many ways. Based on this model, series of research questions can be asked to examine relationships between components of shopping experience and influencing factors, and between shopping experience and shopping outcomes. Preliminary results of a study are reported to illustrate the usefulness of the concept of online shopping experience.


2021 ◽  
Vol 13 (11) ◽  
pp. 5961
Author(s):  
Mitxel Cotarelo ◽  
Teresa Fayos ◽  
Haydeé Calderón ◽  
Alejandro Mollá

Omni-channel retailing consists of the complete alignment of the different channels and touchpoints that generate a seamless experience for consumers, allowing them to move freely through all channels. The consumer’s perception of a seamless and consistent omni-channel experience is called intensity. This study reveals that this intensity in the shopping experience can offer value to consumers, and that intensity and shopping value also influence satisfaction and loyalty. We propose a relationship model that had been tested in a quantitative study with PLS, with a representative sample of buyers who had used the Click and Collect system. The main contribution of this study is to the literature on the analysis of omni-channels from the consumer experience perspective, through an in-depth analysis of the concepts of intensity and shopping value, as well as their relationship with satisfaction and loyalty. The results revealed the existence of a positive relationship between intensity and shopping value, and between these two variables and satisfaction and loyalty.


2019 ◽  
Vol 9 (2) ◽  
pp. 131-142
Author(s):  
Leonnard Leonnard ◽  
Annisa S. Paramita ◽  
Jasmine J. Maulidiani

Augmented reality is a new technological breakthrough that helps e-commerce delivers an online shopping experience with quality of offline shopping. This is possible due to the capability of augmented reality technology that allows consumers to interact and to try products through the virtual world. This technology has not been widely adopted by e-commerce in Indonesia. In this study, we analyzed the effect of this technology on purchase intention through e-consumer experience in the form of perceived enjoyment and usefulness to 89 consumers. Our findings revealed that virtual presence significantly affects the enjoyment and usefulness directly and indirectly to purchase intention. In addition, the device also significantly affects the enjoyment and usefulness directly. Finally, the usefulness is proven to significantly affect purchase intention.


2019 ◽  
Vol 2019 (1) ◽  
pp. 43-48
Author(s):  
Fereshteh Mirjalili ◽  
Jon Yngve Hardeberg

Texture analysis and characterization based on human perception has been continuously sought after by psychology and computer vision researchers. However, the fundamental question of how humans truly perceive texture still remains. In the present study, using a series of textile samples, the most important perceptual attributes people use to interpret and evaluate the texture properties of textiles were accumulated through the verbal description of texture by a group of participants. Smooth, soft, homogeneous, geometric variation, random, repeating, regular, color variation, strong, and complicated were ten of the most frequently used words by participants to describe texture. Since the participants were allowed to freely interact with the textiles, the accumulated texture properties are most likely a combination of visual and tactile information. Each individual texture attribute was rated by another group of participants via rank ordering. Analyzing the correlations between various texture attributes showed strong positive and negative correlations between some of the attributes. Principal component analysis on the rank ordering data indicated that there is a clear separation of perceptual texture attributes in terms of homogeneity and regularity on one hand, and non-homogeneity and randomness on the other hand.


Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5135
Author(s):  
Xueshen Chen ◽  
Yuanyang Mao ◽  
Xu Ma ◽  
Long Qi

Accurate and real-time recognition of rice plants is the premise underlying the implementation of precise weed control. However, achieving desired results in paddy fields using the traditional visual method is difficult due to the occlusion of rice leaves and the interference of weeds. The objective of this study was to develop a novel rice plant recognition sensor based on a tactile method which acquires tactile information through physical touch. The tactile sensor would be mounted on the paddy field weeder to provide identification information for the actuator. First, a flexible gasbag filled with air was developed, where vibration features produced by tactile and sliding feedback were acquired when this apparatus touched rice plants or weeds, allowing the subtle vibration data with identification features to be reflected through the voltage value of an air-pressured sensor mounted inside the gasbag. Second, voltage data were preprocessed by three algorithms to optimize recognition features, including dimensional feature, dimensionless feature, and fractal dimension. The three types of features were used to train and test a neural network classifier. To maximize classification accuracy, an optimum set of features (b (variance), f (kurtosis), h (waveform factor), l (box dimension), and m (Hurst exponent)) were selected using a genetic algorithm. Finally, the feature-optimized classifier was trained, and the actual performances of the sensor at different contact positions were tested. Experimental results showed that the recognition rates of the end, middle, and root of the sensor were 90.67%, 98%, and 96% respectively. A tactile-based method with intelligence could produce high accuracy for rice plant recognition, as demonstrated in this study.


2021 ◽  
Vol 5 (3) ◽  
pp. 163-175
Author(s):  
Stefanie Wenzel ◽  
Martin Benkenstein

Increasing autonomy in purchasing decisions within adolescence leads to a high degree of uncertainty. Previous research has revealed that assistance to minimizing consumer risk has been identified as one of the predominant motives for shopping with a companion. Even though accompanied shopping is a significant characteristic of adolescent consumer behaviour, only a few studies have addressed this topic so far. We conduct five studies to address this issue. Two laboratory studies and three field studies demonstrate that a shopping companion does not reduce adolescents’ perceived risk. Furthermore, this finding applies not only to teenagers, but also to adults. Based on these results, other factors and influences that determine shopping together are examined, as is their actual implementation. Two field studies show a positive effect of a shopping companion on adolescents’ consumer experience. Accompanied consumers enjoy shopping much more than solo shoppers, which mediates the relationship between shopping situation (solo vs. With a companion) and shopping experience satisfaction.


2014 ◽  
Vol 687-691 ◽  
pp. 4494-4498
Author(s):  
Bo Liao ◽  
Ya Ou ◽  
Yan Lu

In the consumer's daily life, unplanned impulse buying behavior accounted for a large proportion. Impulsive buying behavior of consumers in the frequency is also quite high, but they tend to impulse buying for their own behavior without consciousness. Especially in domestic banks for credit and debit card under the strong sales, there are about nine million people are being caught in impulse buying. However, in a highly competitive environment, the competitiveness of enterprises is not only product innovation and price competition strategy, but to give consumers a valuable shopping experience. Therefore, many companies have begun to notice the importance of experiential marketing. In this study, we use the consumer mental resource as independent variable, perceived value as intervening variable and impulse buying behavior as dependent variable. We also add in three control variables (sex, age and price promotion), so that we could purify the relationship between consumer experience and impulse buying behavior. The main object of this study is based on the general consumer.


2015 ◽  
Vol 21 ◽  
pp. 63-71
Author(s):  
Rajib Khanal ◽  
Arbindra Timilsina ◽  
P Pokhrel ◽  
Ram Kailash P Yadav

Around the world, many communities depend on plant species that are outside the mainstream of agricultural research and development. These species are also known by various names, such as ‘underutilized crops’ ‘neglected crops, poor people’s crops’ or ‘third order crops’. More recently, they have been designated as crop for the future agriculture. Changing human perception and custodian, changing food habits, influence of globalization are the major factors leading to low priority to the local crop products. The study of underutilized plant species of the mid hill region is an attempt to highlight the food, fruits, vegetables, pulses and medicinal plants; and their mode of use by the local people. The study was conducted in two VDCs; Siddeshwor of Palpa and Hastichaur of Gulmi districts. A total of 52 plant species belonging to 27 families were recorded to be used frequently by the people of Siddeshwor and Hastichaur VDCs. Declining consumption of these local crop varieties at local level and low demand in the local market due to eroding traditional knowledge are main reasons for the farmers being unwilling to grow these crops. ECOPRINT 21: 63-71, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11906


HortScience ◽  
1999 ◽  
Vol 34 (3) ◽  
pp. 467B-467
Author(s):  
Kimberly A.M. Philp ◽  
Mark H. Brand

The growth of the ornamental plant industry has rapidly increased over the past several years, creating a strong demand for well-trained graduates and industry workers. It is vital for a person entering this industry to have a solid and broad plant material background. The best ways to learn, sell, and teach plants are through visual materials. Currently, there are few cost-effective resources that provide a person with all the visual information needed to learn plants. To better serve the students and industry workers, the Univ. of Connecticut has developed a free multimedia ornamental plant database on the World Wide Web. The plant database focuses on plants for the New England area (USDA zone 6 and lower). This website brings detailed textual information, thousands of pictures, and audio pronunciations together in one complete package. Plant characteristic information (textual and pictorial) consists of habitat, habit and form, summer foliage, autumn foliage, flowers, fruit, bark, culture, landscape uses, liabilities, ID features, propagation, and cultivar/variety. The major factors and decision processes involved in developing an educational Web site, with emphasis on usability and accessibility are considered. The target audience for this Web site is students as well as the nursery and landscape industry workers, agricultural consultants, extension personnel, landscape architects, and the gardening public.


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