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Article
Publication date: 16 September 2020

Ning Yang, Zhelong Wang, Hongyu Zhao, Jie Li and Sen Qiu

Dyadic interactions are significant for human life. Most body sensor networks-based research studies focus on daily actions, but few works have been done to recognize…

Abstract

Purpose

Dyadic interactions are significant for human life. Most body sensor networks-based research studies focus on daily actions, but few works have been done to recognize affective actions during interactions. The purpose of this paper is to analyze and recognize affective actions collected from dyadic interactions.

Design/methodology/approach

A framework that combines hidden Markov models (HMMs) and k-nearest neighbor (kNN) using Fisher kernel learning is presented in this paper. Furthermore, different features are considered according to the interaction situations (positive situation and negative situation).

Findings

Three experiments are conducted in this paper. Experimental results demonstrate that the proposed Fisher kernel learning-based framework outperforms methods using Fisher kernel-based approach, using only HMMs and kNN.

Practical implications

The research may help to facilitate nonverbal communication. Moreover, it is important to equip social robots and animated agents with affective communication abilities.

Originality/value

The presented framework may gain strengths from both generative and discriminative models. Further, different features are considered based on the interaction situations.

Details

Sensor Review, vol. 40 no. 5
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 18 January 2013

Zhelong Wang, Sen Qiu, Zhongkai Cao and Ming Jiang

Due to the complex mechanism during walking, human gait takes plenty of information reflecting human motion. The method of quantitative measurement of gait makes a…

Abstract

Purpose

Due to the complex mechanism during walking, human gait takes plenty of information reflecting human motion. The method of quantitative measurement of gait makes a profound influence in many fields, such as clinical medicine, biped robot control strategy and so on. The purpose of this paper is to present a gait analysis system based on inertial measurement unit (IMU) and combined with body sensor network (BSN).

Design/methodology/approach

The authors placed two wireless inertial nodes on the left and right ankles, so that the acceleration and angular velocity could be obtained from both sides at the same time. By using the kinematical model of the human gait, many methods such as time series analysis, pattern recognition and numerical analysis, are introduced to fuse the inertial data and estimate the sagittal gait parameters.

Findings

The gait parameters evaluation gains a practical precision, especially in the gait phase detection and the process of how the two feet cooperate with each other has been analyzed to learn about the mechanism of biped walking.

Research limitations/implications

The gait analysis procedure is off line, so that the system ensures sampling at a high rate.

Originality/value

This gait analysis system can be utilized to measure quantitative gait parameters. Further, the coordination of dual gait pattern is presented. Last but not least, the system can also be put into capturing and analyzing the motion of other parts of the body.

Details

Sensor Review, vol. 33 no. 1
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 14 January 2014

Zhelong Wang, Cong Zhao and Sen Qiu

– The purpose of this paper is to develop a health monitoring system that can measure human vital signs and recognize human activity based on body sensor network (BSN).

Abstract

Purpose

The purpose of this paper is to develop a health monitoring system that can measure human vital signs and recognize human activity based on body sensor network (BSN).

Design/methodology/approach

The system is mainly composed of electrocardiogram (ECG) signal collection node, blood oxygen signal collection node, inertial sensor node, receiving node and upper computer software. The three collection nodes collect ECG signals, blood oxygen signals and motion signals. And then collected signals are transmitted wirelessly to receiving node and analyzed by software in upper computer in real-time.

Findings

Experiment results show that the system can simultaneously monitor human ECG, heart rate, pulse rate, SpO2 and recognize human activity. A classifier based on coupled hidden Markov model (CHMM) is adopted to recognize human activity. The average recognition accuracy of CHMM classifier is 94.8 percent, which is higher than some existent methods, such as supported vector machine (SVM), C4.5 decision tree and naive Bayes classifier (NBC).

Practical implications

The monitoring system may be used for falling detection, elderly care, postoperative care, rehabilitation training, sports training and other fields in the future.

Originality/value

First, the system can measure human vital signs (ECG, blood pressure, pulse rate, SpO2, temperature, heart rate) and recognizes some specific simple or complex activities (sitting, lying, go boating, bicycle riding). Second, the researches of using CHMM for activity recognition based on BSN are extremely few. Consequently, the classifier based on CHMM is adopted to recognize activity with ideal recognition accuracies in this paper.

Details

Sensor Review, vol. 34 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 15 August 2018

Jyh-Shen Chiou, Cheng-Chieh Hsiao and Tien-Yi Chiu

To understand the effectiveness of electronic word of mouth, the purpose of this paper is to examine how high- vs low-knowledge consumers judge and attribute the…

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1084

Abstract

Purpose

To understand the effectiveness of electronic word of mouth, the purpose of this paper is to examine how high- vs low-knowledge consumers judge and attribute the credibility of positive and negative online reviews by drawing upon accessibility–diagnosticity theory and attribution theory.

Design/methodology/approach

This study conducts an observation-based study in an online forum and a 2 (review valence) × 2 (consumer knowledge) between-participants factorial experiment to examine the proposed hypotheses.

Findings

High-knowledge consumers elicit less perceived credibility and make more non-product-relevant attribution than low-knowledge consumers in negative online reviews. Consumer attribution is also found to mediate the effects of the review valence by consumer knowledge interaction on review credibility.

Originality/value

This study adds to extant research by examining how consumer knowledge plays a key role in determining consumer perception of online review credibility. This study also advances the understanding of different casual inferences about online reviews between high- and low-knowledge consumers.

Details

Online Information Review, vol. 42 no. 5
Type: Research Article
ISSN: 1468-4527

Keywords

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Article
Publication date: 12 September 2016

Yijing Lyu, Xing Zhou, Weiwen Li, Junbao Wan, Jie Zhang and Canhua Qiu

On the basis of social identity theory, this paper aims to predict and test the influence of abusive supervision on service employees’ proactive customer service…

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2725

Abstract

Purpose

On the basis of social identity theory, this paper aims to predict and test the influence of abusive supervision on service employees’ proactive customer service performance (PCSP) in the hotel industry.

Design/methodology/approach

Data were collected from 198 service employee-coworker dyads from 12 hotels in China. Previously developed and validated measures of abusive supervision, organizational identification, collectivism and PCSP were used and found to be highly reliable in this study.

Findings

Time-lagged data from 12 hotels in China reveal that abusive supervision negatively influences service employees’ PCSP, through organizational identification. In addition, employees’ collectivistic value orientation also strengthens the negative relationship between abusive supervision and organizational identification. These findings have several theoretical and managerial implications, especially for hospitality context.

Practical implications

First, the study suggests that hotels should design supervisors’ selection, training and monitoring to reduce mistreatment, which could be highly costly to employees’ identification and hence proactive behaviors. In addition, hotel supervisors are encouraged to learn to regulate their emotions by developing emotional management skills and interpersonal skills. Second, because collectivists are more likely to be affected by abusive supervisors, organizations should pay special attention to them by allocating more supportive resources, providing psychological comfort and expert counseling. Finally, hotels and managers should seek to meet individuals’ basic needs by fostering positive relationships between supervisors and employees, offering favorable treatment and connecting an organization’s goals with employees’ individual values. By doing so, employees’ organizational identification will be enhanced and hence contribute to PCSP.

Originality/value

First, scarcely any study has focused on negative types of leadership styles and how they affect employees’ PCSP. The authors address the research gap by extending the antecedent scope of PCSP to dark side management and provide empirical evidence about the suppressing effects of abusive supervision on PCSP. Second, the focus on organizational identification provides a new extension for social identity theory in application for incurring employees’ proactive behaviors. Third, this study provides a novel contribution by suggesting that the level of collectivism an employee holds can exacerbate the salience of abusive supervision.

Details

International Journal of Contemporary Hospitality Management, vol. 28 no. 9
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 9 May 2016

Jun Huang, Weiwen Li, Canhua Qiu, Frederick Hong-kit Yim and Junbao Wan

The purpose of this paper is to draw on the theory of servant leadership to examine the influence of chief executive officer (CEO) servant leadership on firm performance…

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4035

Abstract

Purpose

The purpose of this paper is to draw on the theory of servant leadership to examine the influence of chief executive officer (CEO) servant leadership on firm performance in the hospitality industry. It examined the mediating role of the service climate and the moderating role of competitive intensity in the relationship between CEO servant leadership and firm performance.

Design/methodology/approach

Multiple regression was used to analyze multi-wave, multi-source data from 92 hotels in China. A moderated path analysis was used to test the moderating effects.

Findings

CEO servant leadership positively influenced firm performance via the service climate in the hospitality industry. Competitive intensity strengthened the direct effect of the service climate on firm performance, and the indirect effect of CEO servant leadership on firm performance via service climate.

Research limitations/implications

The findings offer managerial insights into CEO succession, service management and human resource management.

Originality/value

This is one of the first studies to investigate how and when CEO servant leadership might shape firm outcomes in the hospitality industry. Theoretically, the findings enrich our understanding of how CEO leadership might shape firm-level outcomes.

Details

International Journal of Contemporary Hospitality Management, vol. 28 no. 5
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 21 August 2017

Liang Liu, Bin Chen, Wangchun Jiang, Lingnan He and Xiaogang Qiu

WeChat is the largest acquaintance social networking platform in China, in which users can view and reshare web pages shared by friends. This paper aims to analyze the…

Abstract

Purpose

WeChat is the largest acquaintance social networking platform in China, in which users can view and reshare web pages shared by friends. This paper aims to analyze the spatio-temporal dynamics of web pages diffused in WeChat and advice on commercials.

Design/methodology/approach

A large number of web pages diffused in WeChat are collected and exclusively divided into four categories according to their titles, including advertisements, news bulletins, holiday greetings and emotional essays. For each web page, an information cascade (tree structure) is constructed to describe the diffusion trace. Based on the categories, the spatio-temporal popularity is characterized; the topological, temporal and spatial properties are examined; and the spatio-temporal diffusion velocity is explored.

Findings

Through comparative analysis, different categories of pages show diversity. For spatio-temporal popularity, there is no significant difference in cascade size; holiday greetings usually last for a relatively short time on average; emotional essays are more likely to spread to more provinces. For topological, temporal and spatial characteristics, the diffusion process of advertisements is more likely to be broadcasting than other categories; news bulletins and holiday greetings have an obvious bursty; the number of viewing behavior decreases from east to west in general. For spatio-temporal diffusion velocity, emotional essays diffuse the fastest in topological and spatio-temporal dimensions.

Originality/value

These findings contribute to promoting products and providing support for data driven modeling of information diffusion and human activity in spatio-temporal dimensions.

Details

Information Discovery and Delivery, vol. 45 no. 3
Type: Research Article
ISSN: 2398-6247

Keywords

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Article
Publication date: 1 April 2005

Li‐teh Sun

Man has been seeking an ideal existence for a very long time. In this existence, justice, love, and peace are no longer words, but actual experiences. How ever, with the…

Abstract

Man has been seeking an ideal existence for a very long time. In this existence, justice, love, and peace are no longer words, but actual experiences. How ever, with the American preemptive invasion and occupation of Afghanistan and Iraq and the subsequent prisoner abuse, such an existence seems to be farther and farther away from reality. The purpose of this work is to stop this dangerous trend by promoting justice, love, and peace through a change of the paradigm that is inconsistent with justice, love, and peace. The strong paradigm that created the strong nation like the U.S. and the strong man like George W. Bush have been the culprit, rather than the contributor, of the above three universal ideals. Thus, rather than justice, love, and peace, the strong paradigm resulted in in justice, hatred, and violence. In order to remove these three and related evils, what the world needs in the beginning of the third millenium is the weak paradigm. Through the acceptance of the latter paradigm, the golden mean or middle paradigm can be formulated, which is a synergy of the weak and the strong paradigm. In order to understand properly the meaning of these paradigms, however, some digression appears necessary.

Details

International Journal of Sociology and Social Policy, vol. 25 no. 4/5
Type: Research Article
ISSN: 0144-333X

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Article
Publication date: 2 December 2019

Ming-Yi Chen, Ching-I Teng and Kuo-Wei Chiou

Online reviews are increasingly available for a wide range of products and services in e-commerce. Most consumers rely heavily on online reviews when making purchase…

Abstract

Purpose

Online reviews are increasingly available for a wide range of products and services in e-commerce. Most consumers rely heavily on online reviews when making purchase decisions, so an important topic is that of understanding what makes some online reviews helpful in the eyes of consumers. Researchers have demonstrated the benefits of the presence of customer reviews to an online retailer, however, few studies have investigated how images in review content and the facial expressions of reviewers’ avatars influence the judgment of online review helpfulness. This study draws on self-construal theory, attribution theory and affect-as-information theory to empirically test a model of the interaction effects of images in review content and the facial expressions of reviewers’ avatars on online review helpfulness. Furthermore, the purpose of this paper is to identify an underlying mechanism of causal attribution toward store performance on the above effects.

Design/methodology/approach

This study conducted two online experiments. Study 1 is a 2 (images in review content: one person with a product vs a group of people with a product) ×2 (facial expression of the reviewer’s avatar: happy vs angry) between-subjects design. Study 2 is a 3 (image: product alone vs one person with a product vs a group of people with a product) ×2 (facial expression of the reviewer’s avatar: happy vs angry) ×3 (valence of the review: positive vs negative vs neutral) between-subjects design.

Findings

The results indicate that when consumers were exposed to a happy-looking avatar, they were likely to express higher perceptions of online review helpfulness in response to an image showing a group of people in a restaurant than they would for an image of one person in the same situation. In contrast, when consumers were exposed to an angry-looking avatar, their perceptions of online review helpfulness did not differ in response to images of either a group of people or of one person. Furthermore, cause attribution toward store performance mediated the interaction between images in content of reviews and the facial expression of a reviewer’s avatar on the perceptions of online review helpfulness.

Practical implications

The authors provide insights into how to develop guidelines on how online reviews should be written so that readers perceive them to be helpful, and how to design effective reward mechanisms for customer feedback.

Originality/value

Compared with previous studies, this study provides further contributions in three ways. First, it contributes to the literature on review content by showing which images in reviews are deemed to be helpful. Second, it extends previous findings from the literature relating to online peer reviews by demonstrating the importance of facial expressions in reviewers’ avatars (i.e. happy vs angry) when explaining helpfulness, rather than the strength of purchase intent. Third, this study contributes by further highlighting a novel mechanism which shows that a causal attribution toward store performance motivates the perceptions of online review helpfulness.

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Article
Publication date: 1 August 2016

Cuichang Ma, Shujin Cao and Tinghua Gu

The purpose of this study is to present an approach to evaluating the usability of digital libraries in terms of knowledge states within the information search process…

Abstract

Purpose

The purpose of this study is to present an approach to evaluating the usability of digital libraries in terms of knowledge states within the information search process (ISP) by investigating the connections among components with which users interact, perceived usability and task stages. The China National Knowledge Infrastructure (CNKI), the most popular digital library in China, was chosen to be studied.

Design/methodology/approach

With the research framework, measurements were generated for perceived usability in task stages for efficiency, effectiveness and satisfaction. Two usability experiments and usability tests were administered to 22 subjects in two groups. Three information retrieval tasks were designed according to the characteristics of knowledge states within the ISP for each experiment. The transaction logs were captured and the experimental results were recorded. The users completed a pre-search questionnaire and post-search questionnaire, and interviews were conducted.

Findings

The study showed that both interactions on components of the digital library and usability scores differed with sequential tasks characterized by knowledge states within the ISP; new usability problems relating to the CNKI were found based on the empirical results.

Originality/value

Many studies on the usability evaluation of digital libraries focused on the outcome rather than on the ISP. This study proposed an effective approach to usability evaluation based on users’ knowledge states within the ISP.

Details

The Electronic Library, vol. 34 no. 4
Type: Research Article
ISSN: 0264-0473

Keywords

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