Search results

Most existing recommendation systems or technologies are functional-oriented. Recommending services, nevertheless, requires the consideration of service experiences perceived by customers being individually unique and emphasizing the emotional experiences and the co-created value-in-use. This paper aims to present a new recommender system to capture customer emotional needs and address social interactions among service stakeholders.

This paper presents a color imagery-based recommender system (CIRS) capable of capturing customer emotional needs and addressing social interactions among service stakeholders that can collectively co-create the individual value-in-use and beneficial outcomes for customers. Based on the Color Image Scale, the recommender system uses the color imagery format as the uniform representation of customers’ psychological expectations, service providers and the service system, to facilitate the scoring and ranking of recommendations.

This study uses an application context of destination tourism to demonstrate and justify the recommender system’s attempted contributions preliminarily. That is, CIRS can recommend destinations and tour services that meet tourists’ emotional needs with a satisfactory precision of 70 per cent. CIRS can also make stakeholders’ image models evolve over time considering the dynamic interactions among stakeholders. CIRS can also help lesser-known tourism destinations be discovered by tourists who can be emotionally satisfied.

CIRS uses the color imagery as the uniform representation for customers’ expectations, service providers (e.g. small and medium enterprises) and service system (e.g. tourism destinations), considering the continued interactions among the service stakeholders that collectively co-create the individual value-in-use and beneficial outcomes for each customer.

The properties of the human senses are described, and the article continues with a short review of text display. Text and image processing are discussed with reference to resolution and scanning. Image processing is covered in some detail, including processing of grey scale and colour images, and Television and other cathode ray tube displays. Sections on compression, communication theory and coding follow. The article concludes with a review of data transport in complete systems followed by 36 references.

The purpose of this paper is to identify the chromatic approaches in dynamic brand identities, describing and analysing new trends, patterns or shared strategies which seem to be taking place and renunciating the consistent use of corporate colours in some brands.

The research consisted of a qualitative visual content analysis, based on the comparison and scrutiny of 50 dynamic visual identities, verifying the changes that their colours would undergo in their numerous forms of representation and the symbolic associations these would carry. This analysis was performed using three different studies.

The results show that colour in dynamic brands does not follow any consistent pattern regarding its application and none of the most common colour harmonies seem to be an obvious strategic preference.

This research provides insights for brand managers to look at how this dynamic positioning can be successfully implemented without affecting recognition whilst establishing or maintaining customer loyalty, and for brand designers and marketers to clarify how brand guidelines will explain the usage of such colourful approaches.

This paper is a contribution to the knowledge of how a traditional visual element such as colour is being combined, deconstructed and reassembled in the context of modern visual identities. Three patterns are identified, and two of them draw attention to the apparent unnecessity of colour consistency and the way this may affect the relevance of colour in transmitting certain meanings.

Changes in the consumer market have resulted in many companies allocating considerable resources to their logos and trademarks with a subsequent need for high quality product packaging. Looks at design work undertaken for a system for quality control of printing images on packaging materials. Discusses the need to integrate the print process within the box making machine and the challenge of designing print machinery that can utilise environmentally friendly recycled paper. It looks at the problems of sensing and data acquisition from high through put machines and describes the two main aspects of print quality ‐colour quality and print registration and the methods of gathering this information. Concludes that a mechatronic approach is required for quality control of print images on packaging materials with an end product comprising sensors, machine vision, microprocessors and ultimately machine control and actuation.

In the service economy era, service value is created from the evaluation of customer experience and it is important to study alliance partner selection for improving service provision. Nevertheless, most of the existing alliance partner selection approaches concentrate on the functional aspects. The purpose of this paper is to provide a novel approach that is customer-centric and emphasizes the emotional aspect of service value.

This paper presents a metaphor-based alliance partner recommendation mechanism (MAPRM) that employs the computing metaphor approach to recommend alliance partners for companies in an innovative way. The main ideas of metaphors are the comparison made between two unlike things that actually have something in common so as to attain innovative thinking.

This study uses the scenario of regional tourism innovation to demonstrate the attempted contributions of MAPRM. The simulation evaluation results show that MAPRM can utilize knowledge and resources from companies to achieve specific alliance goals of satisfying desired customer experiences represented by images that can be analyzed and created based on customers’ feedback and their interactions with companies.

MAPRM aims to assist companies to find appropriate alliance partners which offer potential innovation opportunities for service value provision. It is capable of facilitating the alliance partner selection process and assessing customers’ needs at the same time.

Psychological researches of colour reveal that a colour or a group of colours is associated with certain meanings or can cause certain feelings. These feelings of a colour are termed as colour emotions perceived by people. It is important for colour design of a product. Quantitative relationships between colours and the emotion they caused can assist designers to select right colour for the right design objects. The quantitative relationships can also contribute to the reduction of the lead time for colour design process as the colour emotion can be expressed by standard colour specification. A review was carried out in this paper to introduce the research works in quantifying colour emotion.

In a world where companies create multiple brand and product features and use technology to continuously improve the appeal and delivery of their offering, a perception that high tech characteristics are sufficient to attract customers and build loyalty for the company is a common misconception. In reality, the emotional aspects of the customer–brand/product bond are critical and must be factored into strategic decisions. Holbrook and Batra (1987a) suggest that consumers seek emotional value and benefit from brand/product and that these emotional ties may exceed the value derived from technology. While research turns attention to investigate emotions within this brand/product relationship, questions arise regarding possible levers that can be engaged to trigger this emotional relationship. In an effort to understand this complex issue, a review of literature on emotions and strategy, framed, as value management will be discussed and the role that emotions play in the customer–brand/product bond will be addressed. In addition, this discussion moves to understand which design element can possibly meet this challenge. Is it possible that color and its established link to emotions could prove strong enough to be a strategic lever?

This paper aims to focus on the environmental perception of unmanned platform under complex street scenes. Unmanned platform has a strict requirement both on accuracy and inference speed. So how to make a trade-off between accuracy and inference speed during the extraction of environmental information becomes a challenge.

In this paper, a novel multi-scale depth-wise residual (MDR) module is proposed. This module makes full use of depth-wise separable convolution, dilated convolution and 1-dimensional (1-D) convolution, which is able to extract local information and contextual information jointly while keeping this module small-scale and shallow. Then, based on MDR module, a novel network named multi-scale depth-wise residual network (MDRNet) is designed for fast semantic segmentation. This network could extract multi-scale information and maintain feature maps with high spatial resolution to mitigate the existence of objects at multiple scales.

Experiments on Camvid data set and Cityscapes data set reveal that the proposed MDRNet produces competitive results both in terms of computational time and accuracy during inference. Specially, the authors got 67.47 and 68.7% Mean Intersection over Union (MIoU) on Camvid data set and Cityscapes data set, respectively, with only 0.84 million parameters and quicker speed on a single GTX 1070Ti card.

This research can provide the theoretical and engineering basis for environmental perception on the unmanned platform. In addition, it provides environmental information to support the subsequent works.

The purpose of this paper is to present a new tile dispensing decision-making to improve a row formation of a product flow-based tiling automation that has been being developed to support tile placement for custom mosaic design.

A new tile dispensing decision-making combines maximum tile loading and simple cycle strategies to minimize time for forming rows of tiles. The maximum tile loading strategy is for minimizing the number of loading rounds, while the simple cycle strategy is for minimizing the movement during the row formation.

This proposed decision-making has been developed; implemented in LabVIEW software; linked with other LabVIEW-based programs to control the system; and tested. The results showed the tile dispensing with the proposed decision-making performed better than the previous one.

The tiling automation is being developed and is currently on a prototyping stage.

Tile dispensing is critical for this row by row automated assembly, but the existing shortest distance strategy does not guarantee the best performance for a row formation. Therefore, the combination of the maximum tile loading and simple cycle strategies has been developed to improve the performance of the product flow-based tiling automation to better support assembly of custom mosaic design that requires individual tesserae to be assembled to particular positions to illustrate an image properly.