Navigation is an essential skill for robots.It becomes a cumbersome task for the robot in a human-populated environment,and Industry 5.0 is an emerging trend that focuses on the interaction between humans and robots.R...Navigation is an essential skill for robots.It becomes a cumbersome task for the robot in a human-populated environment,and Industry 5.0 is an emerging trend that focuses on the interaction between humans and robots.Robot behavior in a social setting is the key to human acceptance while ensuring human comfort and safety.With the advancement in robotics technology,the true use cases of robots in the tourism and hospitality industry are expanding in number.There are very few experimental studies focusing on how people perceive the navigation behavior of a delivery robot.A robotic platform named“PI”has been designed,which incorporates proximity and vision sensors.The robot utilizes a real-time object recognition algorithm based on the You Only Look Once(YOLO)algorithm to detect objects and humans during navigation.This study is aimed towards evaluating human experience,for which we conducted a study among 36 participants to explore the perceived social presence,role,and perception of a delivery robot exhibiting different behavior conditions while navigating in a hotel corridor.The participants’responses were collected and compared for different behavior conditions demonstrated by the robot and results show that humans prefer an assistant role of a robot enabled with audio and visual aids exhibiting social behavior.Further,this study can be useful for developers to gain insight into the expected behavior of a delivery robot.展开更多
Purpose： This article reports on an experiment that tested community members＇ collaborative information seeking （CIS） behavior, with an emphasis on how community type and task difficulty can affect user behavior a...Purpose： This article reports on an experiment that tested community members＇ collaborative information seeking （CIS） behavior, with an emphasis on how community type and task difficulty can affect user behavior and user awareness in collaboration.Design/methodology/approach： We carried out a laboratory study with 18 participants in 9 pairs using an experimental CIS system. Data were collected from questionnaires, Web logs and semi-structured interviews. Descriptive statistics and two-way analysis of variance （ANOVA） were used for data analysis. Findings： Compared with non-community members, community participants had a better understanding of search tasks and were aware of the ways of completing tasks successfully. They did not depend on the information retrieval system when constructing search queries and would adopt diversified cooperation strategies. They were more likely to recommend information to their partners. However, no significant difference was found between subject- based community and interest-based community in CIS practices and user awareness in collaboration. In addition, task difficulty only influenced user preference of issuing queries and confidence of completing search tasks. Research limitations： Our work was limited by the community type we chose and the small group size, which could affect the generalizability of our findings and should be addressed in future studies. Practical implications： The study results will help inform information system designers as they design collaborative systems to facilitate social communication in the information seeking process. Originality/value： Few studies have investigated community participants＇ information seeking practices. This study provides insights into community-based CIS behavior. The findings will help us understand social interactions among community members during their information seeking process.展开更多
The purpose of this study was to identify factors that enhance and hinder interdisciplinary collaborative practice (ICP) among doctors and nurses at the Nnamdi Azikiwe teaching hospital, Nnewi, southeast Nigeria. The ...The purpose of this study was to identify factors that enhance and hinder interdisciplinary collaborative practice (ICP) among doctors and nurses at the Nnamdi Azikiwe teaching hospital, Nnewi, southeast Nigeria. The study was a cross-sectional descriptive survey and the quantitative method of data collection was employed. The population was all doctors irrespective of area of specialty and all nurses employed and working in the hospital as at the time of study. Proportionate stratified and convenience sampling methods were used to select study participants according to their categories. Using validated structured questionnaire, data were collected from 110 doctors and 95 nurses in the teaching hospital on their perception on ICP and factors that enhance/hinder ICP. Data were analyzed using both descriptive and inferential statistics. Specifically, frequencies, percentages, standard deviation and graphic presentation were used for descriptive analysis of scores while the unpaired t test of mean score using Graph Pad Prism, Version 5.30 was used to determine the influence of profession, gender, and years of experience on perception of ICP at 0.05 level of significance. The study found that both doctors and nurses have positive perception on ICP. Their years of experience have significant influence on their perception. Clear individual roles and good working relationships enhance ICP while giving priority to professional status rather than expertise was seen as a prominent hindrance to ICP. The study recommends collaborative continuing education for doctors and nurses to enhance ICP in patient care. In addition, the inclusion of interdisciplinary collaborative practice programmme into the curriculum of medical and nursing students (where it does not exist) would go a long way to strengthen ICP and decrease hindrances when they graduate.展开更多
With the rapid development of the Internet,the amount of data recorded on the Internet has increased dramatically.It is becoming more and more urgent to effectively obtain the specific information we need from the vas...With the rapid development of the Internet,the amount of data recorded on the Internet has increased dramatically.It is becoming more and more urgent to effectively obtain the specific information we need from the vast ocean of data.In this study,we propose a novel collaborative filtering algorithm for generating recommendations in e-commerce.This study has two main innovations.First,we propose a mechanismthat embeds temporal behavior information to find a neighbor set in which each neighbor has a very significant impact on the current user or item.Second,we propose a novel collaborative filtering algorithm by injecting the neighbor set into probability matrix factorization.We compared the proposed method with several state-of-the-art alternatives on real datasets.The experimental results show that our proposed method outperforms the prevailing approaches.展开更多
基金supported by Taif University Researchers Supporting Projects(TURSP).Under number(TURSP-2020/211),Taif University,Taif,Saudi Arabia.
文摘Navigation is an essential skill for robots.It becomes a cumbersome task for the robot in a human-populated environment,and Industry 5.0 is an emerging trend that focuses on the interaction between humans and robots.Robot behavior in a social setting is the key to human acceptance while ensuring human comfort and safety.With the advancement in robotics technology,the true use cases of robots in the tourism and hospitality industry are expanding in number.There are very few experimental studies focusing on how people perceive the navigation behavior of a delivery robot.A robotic platform named“PI”has been designed,which incorporates proximity and vision sensors.The robot utilizes a real-time object recognition algorithm based on the You Only Look Once(YOLO)algorithm to detect objects and humans during navigation.This study is aimed towards evaluating human experience,for which we conducted a study among 36 participants to explore the perceived social presence,role,and perception of a delivery robot exhibiting different behavior conditions while navigating in a hotel corridor.The participants’responses were collected and compared for different behavior conditions demonstrated by the robot and results show that humans prefer an assistant role of a robot enabled with audio and visual aids exhibiting social behavior.Further,this study can be useful for developers to gain insight into the expected behavior of a delivery robot.
基金supported by the National Program for Support of Top-notch Young Professionals
文摘Purpose： This article reports on an experiment that tested community members＇ collaborative information seeking （CIS） behavior, with an emphasis on how community type and task difficulty can affect user behavior and user awareness in collaboration.Design/methodology/approach： We carried out a laboratory study with 18 participants in 9 pairs using an experimental CIS system. Data were collected from questionnaires, Web logs and semi-structured interviews. Descriptive statistics and two-way analysis of variance （ANOVA） were used for data analysis. Findings： Compared with non-community members, community participants had a better understanding of search tasks and were aware of the ways of completing tasks successfully. They did not depend on the information retrieval system when constructing search queries and would adopt diversified cooperation strategies. They were more likely to recommend information to their partners. However, no significant difference was found between subject- based community and interest-based community in CIS practices and user awareness in collaboration. In addition, task difficulty only influenced user preference of issuing queries and confidence of completing search tasks. Research limitations： Our work was limited by the community type we chose and the small group size, which could affect the generalizability of our findings and should be addressed in future studies. Practical implications： The study results will help inform information system designers as they design collaborative systems to facilitate social communication in the information seeking process. Originality/value： Few studies have investigated community participants＇ information seeking practices. This study provides insights into community-based CIS behavior. The findings will help us understand social interactions among community members during their information seeking process.
文摘The purpose of this study was to identify factors that enhance and hinder interdisciplinary collaborative practice (ICP) among doctors and nurses at the Nnamdi Azikiwe teaching hospital, Nnewi, southeast Nigeria. The study was a cross-sectional descriptive survey and the quantitative method of data collection was employed. The population was all doctors irrespective of area of specialty and all nurses employed and working in the hospital as at the time of study. Proportionate stratified and convenience sampling methods were used to select study participants according to their categories. Using validated structured questionnaire, data were collected from 110 doctors and 95 nurses in the teaching hospital on their perception on ICP and factors that enhance/hinder ICP. Data were analyzed using both descriptive and inferential statistics. Specifically, frequencies, percentages, standard deviation and graphic presentation were used for descriptive analysis of scores while the unpaired t test of mean score using Graph Pad Prism, Version 5.30 was used to determine the influence of profession, gender, and years of experience on perception of ICP at 0.05 level of significance. The study found that both doctors and nurses have positive perception on ICP. Their years of experience have significant influence on their perception. Clear individual roles and good working relationships enhance ICP while giving priority to professional status rather than expertise was seen as a prominent hindrance to ICP. The study recommends collaborative continuing education for doctors and nurses to enhance ICP in patient care. In addition, the inclusion of interdisciplinary collaborative practice programmme into the curriculum of medical and nursing students (where it does not exist) would go a long way to strengthen ICP and decrease hindrances when they graduate.
基金supported by the National Natural Science Foundation of China under Grant Nos.81873915,61702225 and 61806026Ministry of Science and Technology Key Research and Development Program of China under Grant No.2018YFC0116902+3 种基金by the Natural Science Foundation of Jiangsu Province under Grant No.BK20180956by the 2018 Six Talent Peaks Project of Jiangsu Province under Grant No.XYDXX-127by the Science and Technology demonstration project of social development of Wuxi under Grant WX18IVJN002by the Philosophy and Social Science Foundation of Jiangsu Province(18YSC009).
文摘With the rapid development of the Internet,the amount of data recorded on the Internet has increased dramatically.It is becoming more and more urgent to effectively obtain the specific information we need from the vast ocean of data.In this study,we propose a novel collaborative filtering algorithm for generating recommendations in e-commerce.This study has two main innovations.First,we propose a mechanismthat embeds temporal behavior information to find a neighbor set in which each neighbor has a very significant impact on the current user or item.Second,we propose a novel collaborative filtering algorithm by injecting the neighbor set into probability matrix factorization.We compared the proposed method with several state-of-the-art alternatives on real datasets.The experimental results show that our proposed method outperforms the prevailing approaches.
