Introduction/Purpose. Behavior mapping is a crucial practice to capture precise data on human activities. Over the years, technological advancements have improved reliable data collection over the conventional “paper and pen”-based methods. Likewise, researchers increasingly utilize IVE (immersive virtual environment) technology in the built environment for its experiential capabilities. The aim of this research is to comprehensively investigate the most recent research and technological trends, data collection methods, and challenges and opportunities associated with IVE adoption for behavior mapping. Design/Methodology/Approach. This study investigates the current status of behavior mapping in the built environment through a mixed qualitative–quantitative study. A systematic background review was conducted on 353 articles, and a bibliometric analysis was performed on 123 journal articles retrieved from Scopus. The analysis generated science maps, unveiling technological advancements, data types, collection methods, research trends, and potential directions to address the research questions at hand. Findings. A thorough qualitative review presented deeper insight into major transitions and technological contributions, whereas the quantitative study revealed current research trends and future directions. Furthermore, it discussed the contribution, opportunities, and challenges of IVE technology for data collection. Research Limitations. The review and bibliometric study findings are circumscribed by literature data retrieved from Scopus data only, and potential research directions, opportunities, and obstacles are proposed based on analysis of review results, which might cause an incomprehensive nature. Practical Implications. This study highlights the importance of behavioral mapping research and the potential for technology to assist it. The paper also identifies current shortcomings and constraints in the literature, emphasizing the need for interventions in IVE technology.
{"title":"Unraveling the Potential of Immersive Virtual Environments for Behavior Mapping in the Built Environment: A Mapping Review","authors":"Rohit Kumar, Debayan Dhar","doi":"10.1155/2023/8871834","DOIUrl":"https://doi.org/10.1155/2023/8871834","url":null,"abstract":"Introduction/Purpose. Behavior mapping is a crucial practice to capture precise data on human activities. Over the years, technological advancements have improved reliable data collection over the conventional “paper and pen”-based methods. Likewise, researchers increasingly utilize IVE (immersive virtual environment) technology in the built environment for its experiential capabilities. The aim of this research is to comprehensively investigate the most recent research and technological trends, data collection methods, and challenges and opportunities associated with IVE adoption for behavior mapping. Design/Methodology/Approach. This study investigates the current status of behavior mapping in the built environment through a mixed qualitative–quantitative study. A systematic background review was conducted on 353 articles, and a bibliometric analysis was performed on 123 journal articles retrieved from Scopus. The analysis generated science maps, unveiling technological advancements, data types, collection methods, research trends, and potential directions to address the research questions at hand. Findings. A thorough qualitative review presented deeper insight into major transitions and technological contributions, whereas the quantitative study revealed current research trends and future directions. Furthermore, it discussed the contribution, opportunities, and challenges of IVE technology for data collection. Research Limitations. The review and bibliometric study findings are circumscribed by literature data retrieved from Scopus data only, and potential research directions, opportunities, and obstacles are proposed based on analysis of review results, which might cause an incomprehensive nature. Practical Implications. This study highlights the importance of behavioral mapping research and the potential for technology to assist it. The paper also identifies current shortcomings and constraints in the literature, emphasizing the need for interventions in IVE technology.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"54 32","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138588014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amina Tariq, Shanchita R. Khan, O. Oviedo-Trespalacios, A. Basharat
An increasing number of young adults are using social media platforms in collectivist family cultures like Pakistan, but little is known about how social media use is associated with family connectedness in this population. This study is aimed (a) at examining the social media usage patterns in Pakistani young adults and how they use it to connect with their parents and (b) at exploring the possible association between social media use and perceived family connectedness and parental monitoring. Data came from an online survey conducted among young adults in Pakistan. Patterns of use across various popular social media platforms were recorded. Additionally, family connectedness and parental monitoring were measured. Multiple linear regression analyses were used to examine the relationship between social media used to connect with parents and family connectedness and parental monitoring. A total of 421 participants responded to the survey. All participants regularly used at least two popular social media platforms. WhatsApp was the most used platform irrespective of gender or age, with about 91% of the participants reporting daily usage. Overall, 63% of participants connected with their parents using social media. This varied significantly among male and female participants with 69% of female participants connecting with their parents on social media compared to 59% of males. Connecting with parents on both Facebook and Instagram was highly associated with participants’ perception of parental monitoring before and after adjusting for age and gender. The study highlights that while family connectedness in collectivist societies like Pakistan is not associated with social media usage, adult children perceive parents monitoring their social media activities.
{"title":"Association of Social Media Use with Family Connectedness and Parental Monitoring: A Survey Study of Young Adults in Pakistan","authors":"Amina Tariq, Shanchita R. Khan, O. Oviedo-Trespalacios, A. Basharat","doi":"10.1155/2023/5521882","DOIUrl":"https://doi.org/10.1155/2023/5521882","url":null,"abstract":"An increasing number of young adults are using social media platforms in collectivist family cultures like Pakistan, but little is known about how social media use is associated with family connectedness in this population. This study is aimed (a) at examining the social media usage patterns in Pakistani young adults and how they use it to connect with their parents and (b) at exploring the possible association between social media use and perceived family connectedness and parental monitoring. Data came from an online survey conducted among young adults in Pakistan. Patterns of use across various popular social media platforms were recorded. Additionally, family connectedness and parental monitoring were measured. Multiple linear regression analyses were used to examine the relationship between social media used to connect with parents and family connectedness and parental monitoring. A total of 421 participants responded to the survey. All participants regularly used at least two popular social media platforms. WhatsApp was the most used platform irrespective of gender or age, with about 91% of the participants reporting daily usage. Overall, 63% of participants connected with their parents using social media. This varied significantly among male and female participants with 69% of female participants connecting with their parents on social media compared to 59% of males. Connecting with parents on both Facebook and Instagram was highly associated with participants’ perception of parental monitoring before and after adjusting for age and gender. The study highlights that while family connectedness in collectivist societies like Pakistan is not associated with social media usage, adult children perceive parents monitoring their social media activities.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"95 16","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138600062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. O. Mathew, Srijit Chowdhury, Sanjivani Devpura, Anasuya K. Lingappa
As the food delivery sector grows in importance, new delivery modes to address service issues, such as costs, swift delivery, and environmental concerns, are being researched. However, research on drone-based food delivery services is still lacking, especially in the Indian context, which the current study aims to address. The study furthered the UTAUT2 model with additional perceived risk and price sensitivity constructs. Quantitative, cross-sectional data was collected nationwide using convenience sampling through online survey questionnaires. The 323 responses were analyzed using the partial least square-structural equation modeling method. The results identified effort expectancy, social influence, and hedonic motivation as significant predictors of attitude and behavioral intention. In an emerging economy with a vast consumer base, this study may offer a preliminary standpoint for understanding the consumer perspective on drone food deliveries. The findings of this study might be necessary for businesses that deal with food delivery logistics as a point of view to formulate successful strategies.
{"title":"Factors Influencing Technology Acceptance of Drones for Last-Mile Food Deliveries: An Adaptation of the UTAUT2 Model","authors":"A. O. Mathew, Srijit Chowdhury, Sanjivani Devpura, Anasuya K. Lingappa","doi":"10.1155/2023/7399080","DOIUrl":"https://doi.org/10.1155/2023/7399080","url":null,"abstract":"As the food delivery sector grows in importance, new delivery modes to address service issues, such as costs, swift delivery, and environmental concerns, are being researched. However, research on drone-based food delivery services is still lacking, especially in the Indian context, which the current study aims to address. The study furthered the UTAUT2 model with additional perceived risk and price sensitivity constructs. Quantitative, cross-sectional data was collected nationwide using convenience sampling through online survey questionnaires. The 323 responses were analyzed using the partial least square-structural equation modeling method. The results identified effort expectancy, social influence, and hedonic motivation as significant predictors of attitude and behavioral intention. In an emerging economy with a vast consumer base, this study may offer a preliminary standpoint for understanding the consumer perspective on drone food deliveries. The findings of this study might be necessary for businesses that deal with food delivery logistics as a point of view to formulate successful strategies.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"1219 ","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139203116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sharing experiences with others is an important part of everyday life. Immersive virtual reality (IVR) promises to simulate these experiences. However, whether IVR elicits a similar level of social presence as measured in the real world is unclear. It is also uncertain whether AI-driven virtual humans (agents) can elicit a similar level of meaningful social copresence as people-driven virtual-humans (avatars). The current study demonstrates that both virtual human types can elicit a cognitive impact on a social partner. The current experiment tested participants’ cognitive performance changes in the presence of virtual social partners by measuring the social facilitation effect (SFE). The SFE-related performance change can occur through either vigilance-based mechanisms related to other people’s copresence (known as the mere presence effect (MPE)) or reputation management mechanisms related to other people’s monitoring (the audience effect (AE)). In this study, we hypothesised AE and MPE as distinct mechanisms of eliciting SFE. Firstly, we predicted that, if head-mounted IVR can simulate sufficient copresence, any social companion’s visual presence would elicit SFE through MPE. The results demonstrated that companion presence decreased participants’ performance irrespective of whether AI or human-driven. Secondly, we predicted that monitoring by a human-driven, but not an AI-driven, companion would elicit SFE through AE. The results demonstrated that monitoring by a human-driven companion affected participant performance more than AI-driven, worsening performance marginally in accuracy and significantly in reaction times. We discuss how the current results explain the findings in prior SFE in virtual-world literature and map out future considerations for social-IVR testing, such as participants’ virtual self-presence and affordances of physical and IVR testing environments.
{"title":"Cognitive Impact of Social Virtual Reality: Audience and Mere Presence Effect of Virtual Companions","authors":"Olga Sutskova, Atsushi Senju, Tim J. Smith","doi":"10.1155/2023/6677789","DOIUrl":"https://doi.org/10.1155/2023/6677789","url":null,"abstract":"Sharing experiences with others is an important part of everyday life. Immersive virtual reality (IVR) promises to simulate these experiences. However, whether IVR elicits a similar level of social presence as measured in the real world is unclear. It is also uncertain whether AI-driven virtual humans (agents) can elicit a similar level of meaningful social copresence as people-driven virtual-humans (avatars). The current study demonstrates that both virtual human types can elicit a cognitive impact on a social partner. The current experiment tested participants’ cognitive performance changes in the presence of virtual social partners by measuring the social facilitation effect (SFE). The SFE-related performance change can occur through either vigilance-based mechanisms related to other people’s copresence (known as the mere presence effect (MPE)) or reputation management mechanisms related to other people’s monitoring (the audience effect (AE)). In this study, we hypothesised AE and MPE as distinct mechanisms of eliciting SFE. Firstly, we predicted that, if head-mounted IVR can simulate sufficient copresence, any social companion’s visual presence would elicit SFE through MPE. The results demonstrated that companion presence decreased participants’ performance irrespective of whether AI or human-driven. Secondly, we predicted that monitoring by a human-driven, but not an AI-driven, companion would elicit SFE through AE. The results demonstrated that monitoring by a human-driven companion affected participant performance more than AI-driven, worsening performance marginally in accuracy and significantly in reaction times. We discuss how the current results explain the findings in prior SFE in virtual-world literature and map out future considerations for social-IVR testing, such as participants’ virtual self-presence and affordances of physical and IVR testing environments.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2008 17","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139239328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While previous studies have investigated the factors influencing Internet adoption, the findings may not be transferable to explain blockchain technology (BCT) adoption, despite its similarities to the Internet. This study addresses this gap by developing an extended technology acceptance model (TAM) to investigate the factors influencing BCT adoption. The model consists of four key factors, including strategic management and social influence at the firm level, and individual innovation and self-efficacy at the individual level. Data were collected from 384 employees at Taiwan Stock Exchange companies, and structural equation modeling was utilized to test the hypotheses. Results reveal that strategic management and social influence at the firm level have a direct impact on BCT adoption, which is indirectly influenced by perceived usefulness. Subsequently, training and support provided by the firm can enhance individual innovation and self-efficacy, which has direct effects on BCT adoption at the individual level and is partially mediated by perceived ease of use.
{"title":"Extending the Technology Acceptance Model: A New Perspective on the Adoption of Blockchain Technology","authors":"Chih-Hung Chen","doi":"10.1155/2023/4835896","DOIUrl":"https://doi.org/10.1155/2023/4835896","url":null,"abstract":"While previous studies have investigated the factors influencing Internet adoption, the findings may not be transferable to explain blockchain technology (BCT) adoption, despite its similarities to the Internet. This study addresses this gap by developing an extended technology acceptance model (TAM) to investigate the factors influencing BCT adoption. The model consists of four key factors, including strategic management and social influence at the firm level, and individual innovation and self-efficacy at the individual level. Data were collected from 384 employees at Taiwan Stock Exchange companies, and structural equation modeling was utilized to test the hypotheses. Results reveal that strategic management and social influence at the firm level have a direct impact on BCT adoption, which is indirectly influenced by perceived usefulness. Subsequently, training and support provided by the firm can enhance individual innovation and self-efficacy, which has direct effects on BCT adoption at the individual level and is partially mediated by perceived ease of use.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"33 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139249827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mirko Duradoni, Tommaso Raimondi, Federica Buttà, Andrea Guazzini
Phubbing affects an individual’s social life and well-being. It has been found to affect romantic relationships, communication and social skills, and emotional and behavioral problems. Some relationships that phubbing has with, for example, smartphone addiction, Internet addiction, social media addiction, FoMO, and neuroticism are well known and established in the literature. However, phubbing is not exclusively reducible to addiction or personality-driven dynamics. For this reason, this study is aimed at exploring the motivations behind phubbing behavior. Firstly, the research is aimed at confirming the relationships between phubbing and technology-related addictions (e.g., social media addiction and mobile phone addiction) and personality traits (e.g., neuroticism and conscientiousness). In addition, the study is aimed at examining the relationship between phubbing and three potential individual-level factors for possible phubbing modeling: intrinsic motivation, boredom state, and online vigilance. A total of 551 participants took part in the study (mean age = 32 years; SD = 14.15 ). After confirming the relationships that phubbing has with the abovementioned variables, a hierarchical regression model was produced in order to model the phubbing phenomenon as comprehensively as possible. The final model explained approximately 72% of the variance in phubbing. The primary contributors to the explained variance were variables related to the dependent use of new technologies, dimensions of online vigilance, boredom, and intrinsic motivation for using new technologies. Sociodemographic factors and personality traits accounted for a smaller portion of the variance (3.4% and 9.1%, respectively). These findings suggest that the individual-level factors driving phubbing behavior are related to intrinsic motivation, online vigilance, and boredom, rather than sociodemographic factors or personality traits. The study encourages further research to explore and expand upon the range of motivations underlying phubbing behavior, while considering factors related to dysfunctional or addictive technology use.
{"title":"Moving beyond an Addiction Framework for Phubbing: Unraveling the Influence of Intrinsic Motivation, Boredom, and Online Vigilance","authors":"Mirko Duradoni, Tommaso Raimondi, Federica Buttà, Andrea Guazzini","doi":"10.1155/2023/6653652","DOIUrl":"https://doi.org/10.1155/2023/6653652","url":null,"abstract":"Phubbing affects an individual’s social life and well-being. It has been found to affect romantic relationships, communication and social skills, and emotional and behavioral problems. Some relationships that phubbing has with, for example, smartphone addiction, Internet addiction, social media addiction, FoMO, and neuroticism are well known and established in the literature. However, phubbing is not exclusively reducible to addiction or personality-driven dynamics. For this reason, this study is aimed at exploring the motivations behind phubbing behavior. Firstly, the research is aimed at confirming the relationships between phubbing and technology-related addictions (e.g., social media addiction and mobile phone addiction) and personality traits (e.g., neuroticism and conscientiousness). In addition, the study is aimed at examining the relationship between phubbing and three potential individual-level factors for possible phubbing modeling: intrinsic motivation, boredom state, and online vigilance. A total of 551 participants took part in the study (mean age = 32 years; SD = 14.15 ). After confirming the relationships that phubbing has with the abovementioned variables, a hierarchical regression model was produced in order to model the phubbing phenomenon as comprehensively as possible. The final model explained approximately 72% of the variance in phubbing. The primary contributors to the explained variance were variables related to the dependent use of new technologies, dimensions of online vigilance, boredom, and intrinsic motivation for using new technologies. Sociodemographic factors and personality traits accounted for a smaller portion of the variance (3.4% and 9.1%, respectively). These findings suggest that the individual-level factors driving phubbing behavior are related to intrinsic motivation, online vigilance, and boredom, rather than sociodemographic factors or personality traits. The study encourages further research to explore and expand upon the range of motivations underlying phubbing behavior, while considering factors related to dysfunctional or addictive technology use.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"64 1","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139254538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nour Qatawneh, Raghed Alkhasawneh, Abraham Althonayan, Abeer Altarawneh
The fast development of the Internet has raised the number of government-related websites and the variety of e-services available. Despite tourism’s critical significance in supporting the national economy, relatively few researches have been conducted on the influence of tourism website quality dimensions on electronic loyalty among citizens (e-loyalty), particularly in the Jordanian domestic tourism context. The objective of this research is to identify the factors that impact the e-loyalty of citizens toward the e-government services offered by the Ministry of Tourism and Antiquities in Jordan, considering the mediating influence of citizens’ e-satisfaction and e-trust, primarily following Oliver’s (1999) e-loyalty model. The survey questionnaire was adopted as a main strategy to collect and analyze primary data and to investigate the relationships between variables. Statistical processing was applied using IBM SPSS version 22 package and Amos version 25 for path analysis as the main statistical software package. The results indicated that citizens’ e-loyalty toward the governmental tourism-related website in Jordan is moderate, demonstrating that citizens are generally comfortable with the e-services provided. Furthermore, the results suggest that e-satisfaction and e-trust both play a mediating role in the connection between dimensions of website quality (specifically, information quality and personalization) and the e-loyalty of citizens. This study contributes to the theory by combining the relationships among website quality dimensions, citizen e-trust, e-satisfaction, and e-loyalty, particularly in the unique setting of Jordan’s domestic tourism sector. The results provide valuable insights for policymakers and tourism sector managers, aiding them in the implementation of information and communication technology (ICT) strategies that facilitate citizens’ transactions and encourage them to participate effectively in e-government activities, thereby boosting the kingdom’s economy and gross domestic product (GDP). The government also recommended enhancing awareness programs and employee training in order to enhance the e-services offered to citizens.
互联网的快速发展增加了政府相关网站的数量和电子服务的种类。尽管旅游业在支持国民经济方面具有至关重要的意义，但有关旅游网站质量维度对公民电子忠诚度（电子忠诚度）影响的研究却相对较少，尤其是在约旦国内旅游业背景下。本研究旨在确定影响公民对约旦旅游和文物部提供的电子政务服务的电子忠诚度的因素，同时考虑公民的电子满意度和电子信任的中介影响，主要遵循 Oliver（1999 年）的电子忠诚度模型。研究采用调查问卷作为收集和分析原始数据以及研究变量之间关系的主要策略。统计处理以 IBM SPSS 22 版软件包和 Amos 25 版路径分析为主要统计软件包。结果表明，约旦公民对政府旅游相关网站的电子忠诚度适中，表明公民普遍对所提供的电子服务感到满意。此外，研究结果表明，电子满意度和电子信任度在网站质量（特别是信息质量和个性化）与公民电子忠诚度之间的联系中起着中介作用。本研究将网站质量维度、公民电子信任、电子满意度和电子忠诚度之间的关系结合起来，特别是在约旦国内旅游业的独特背景下，为该理论做出了贡献。研究结果为政策制定者和旅游行业管理者提供了宝贵的见解，有助于他们实施信息与通信技术（ICT）战略，促进公民交易，鼓励他们有效参与电子政务活动，从而推动约旦王国的经济和国内生产总值（GDP）。政府还建议加强宣传计划和员工培训，以提高为公民提供的电子服务。
{"title":"Examining the Influence of Website Quality on Citizen’s E-Loyalty in Domestic Tourism in Jordan: The Role of E-Trust and E-Satisfaction","authors":"Nour Qatawneh, Raghed Alkhasawneh, Abraham Althonayan, Abeer Altarawneh","doi":"10.1155/2023/2614673","DOIUrl":"https://doi.org/10.1155/2023/2614673","url":null,"abstract":"The fast development of the Internet has raised the number of government-related websites and the variety of e-services available. Despite tourism’s critical significance in supporting the national economy, relatively few researches have been conducted on the influence of tourism website quality dimensions on electronic loyalty among citizens (e-loyalty), particularly in the Jordanian domestic tourism context. The objective of this research is to identify the factors that impact the e-loyalty of citizens toward the e-government services offered by the Ministry of Tourism and Antiquities in Jordan, considering the mediating influence of citizens’ e-satisfaction and e-trust, primarily following Oliver’s (1999) e-loyalty model. The survey questionnaire was adopted as a main strategy to collect and analyze primary data and to investigate the relationships between variables. Statistical processing was applied using IBM SPSS version 22 package and Amos version 25 for path analysis as the main statistical software package. The results indicated that citizens’ e-loyalty toward the governmental tourism-related website in Jordan is moderate, demonstrating that citizens are generally comfortable with the e-services provided. Furthermore, the results suggest that e-satisfaction and e-trust both play a mediating role in the connection between dimensions of website quality (specifically, information quality and personalization) and the e-loyalty of citizens. This study contributes to the theory by combining the relationships among website quality dimensions, citizen e-trust, e-satisfaction, and e-loyalty, particularly in the unique setting of Jordan’s domestic tourism sector. The results provide valuable insights for policymakers and tourism sector managers, aiding them in the implementation of information and communication technology (ICT) strategies that facilitate citizens’ transactions and encourage them to participate effectively in e-government activities, thereby boosting the kingdom’s economy and gross domestic product (GDP). The government also recommended enhancing awareness programs and employee training in order to enhance the e-services offered to citizens.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"60 5","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139259441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Liam Kettle, Madeleine M. McCarty, Kassidy L. Simpson, Yi-Ching Lee
As vehicle automation capabilities increase, driving control shifts from the human to the vehicle system. However, concerns arise regarding responsibility following critical events and the publics’ trust and acceptance of vehicles equipped with automated driving systems (ADS). The current study examined how participants assigned blame and praise to ADS-equipped vehicles and human drivers following collisions or near-misses and how these attributions were impacted by a virtual driving assistant that administered monitoring requests. Based on literature, our primary hypothesis was that more blame would be assigned to the human and more praise assigned to the ADS when the driving assistant was present. Additionally, we hypothesized greater reported trust towards ADS-equipped vehicles when the driving assistant was present. Participants read vignettes of automated driving, watched corresponding videos, and then self-reported trust, acceptance, anthropomorphism, and assignment of blame and praise. All hypotheses were supported indicating that significant effects were observed: participants assigned greater blame to the human when asked to actively monitor the driving environment and assigned greater praise to the ADS when it alerted the human driver. Additionally, participants reported greater trust and anthropomorphism of the ADS when the driving assistant was present. These findings suggest that explicitly communicating monitoring responsibility through a driving assistant significantly impacts the publics’ opinion of responsibility following critical events. These findings provide initial support for a solution to improve driver safety as well as policy implications regarding positive perceptions and the adoption of ADS-equipped vehicles.
{"title":"Impact of Monitoring Requests on Publics’ Assignment of Blame and Praise towards ADS Level 3 Vehicles","authors":"Liam Kettle, Madeleine M. McCarty, Kassidy L. Simpson, Yi-Ching Lee","doi":"10.1155/2023/9009791","DOIUrl":"https://doi.org/10.1155/2023/9009791","url":null,"abstract":"As vehicle automation capabilities increase, driving control shifts from the human to the vehicle system. However, concerns arise regarding responsibility following critical events and the publics’ trust and acceptance of vehicles equipped with automated driving systems (ADS). The current study examined how participants assigned blame and praise to ADS-equipped vehicles and human drivers following collisions or near-misses and how these attributions were impacted by a virtual driving assistant that administered monitoring requests. Based on literature, our primary hypothesis was that more blame would be assigned to the human and more praise assigned to the ADS when the driving assistant was present. Additionally, we hypothesized greater reported trust towards ADS-equipped vehicles when the driving assistant was present. Participants read vignettes of automated driving, watched corresponding videos, and then self-reported trust, acceptance, anthropomorphism, and assignment of blame and praise. All hypotheses were supported indicating that significant effects were observed: participants assigned greater blame to the human when asked to actively monitor the driving environment and assigned greater praise to the ADS when it alerted the human driver. Additionally, participants reported greater trust and anthropomorphism of the ADS when the driving assistant was present. These findings suggest that explicitly communicating monitoring responsibility through a driving assistant significantly impacts the publics’ opinion of responsibility following critical events. These findings provide initial support for a solution to improve driver safety as well as policy implications regarding positive perceptions and the adoption of ADS-equipped vehicles.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"17 8","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139266042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Segbenya, Brandford Bervell, Beatrice Asante Somuah, Vincent Mensah Minardzi
The importance of online learning for delivering academic content in distance education cannot be an understatement. Online learning is not only associated with benefits, but it also comes with some challenges among course facilitators in distance education. This study, therefore, examined course facilitators’ perspectives on online facilitation in distance education within the context of a less developed economy. The study adopted the quantitative approach based on descriptive research design with a sample of 529 course facilitators out of a population of 2,768 using multiple sampling techniques such as stratified and simple random sampling. Data were gathered using a structured questionnaire, and partial least squares structural equation modeling (PLS-SEM) was utilized to analyze the results. Findings from the study revealed that course facilitators had online tools and content knowledge but lacked online lesson presentation skills. Availability of online gadgets significantly predicted functionality and online teaching presentation method. Challenges with online learning, availability and functionality of online gadgets, and online presentation methods significantly predicted online use intention and subsequently influenced online usage for teaching among course facilitators. It was recommended that managers of distance education train and provide technical support as well as online gadgets for course facilitators to effectively implement online education. This study provides new insights into how online gadgets, their functionality, and online presentation methods by course facilitators intricately relate among themselves and finally influence online usage intentions and actual usage of online instruction in the distance education milieu.
{"title":"Examining Course Facilitators’ Perspectives on Online Facilitation for Distance Education","authors":"M. Segbenya, Brandford Bervell, Beatrice Asante Somuah, Vincent Mensah Minardzi","doi":"10.1155/2023/4060554","DOIUrl":"https://doi.org/10.1155/2023/4060554","url":null,"abstract":"The importance of online learning for delivering academic content in distance education cannot be an understatement. Online learning is not only associated with benefits, but it also comes with some challenges among course facilitators in distance education. This study, therefore, examined course facilitators’ perspectives on online facilitation in distance education within the context of a less developed economy. The study adopted the quantitative approach based on descriptive research design with a sample of 529 course facilitators out of a population of 2,768 using multiple sampling techniques such as stratified and simple random sampling. Data were gathered using a structured questionnaire, and partial least squares structural equation modeling (PLS-SEM) was utilized to analyze the results. Findings from the study revealed that course facilitators had online tools and content knowledge but lacked online lesson presentation skills. Availability of online gadgets significantly predicted functionality and online teaching presentation method. Challenges with online learning, availability and functionality of online gadgets, and online presentation methods significantly predicted online use intention and subsequently influenced online usage for teaching among course facilitators. It was recommended that managers of distance education train and provide technical support as well as online gadgets for course facilitators to effectively implement online education. This study provides new insights into how online gadgets, their functionality, and online presentation methods by course facilitators intricately relate among themselves and finally influence online usage intentions and actual usage of online instruction in the distance education milieu.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"58 3","pages":""},"PeriodicalIF":10.3,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Artificial intelligence agents (chatbots), which are programs to communicate with users primarily in customer service contexts, are an alternative interaction channel supporting businesses in the digital environment and vital components in customer service. The present empirical paper, which is aimed at identifying and discussing the factors motivating nonusers to adopt the specific technology in mobile contexts, proposes a comprehensive conceptual model, which combines the UTAUT 2 behavioral theory with variables of mobile service quality contexts, such as information quality, privacy concerns, interface, and equipment, as well as trust and mobility factors. Data analysis, based on the partial least squares structural equation modeling (PLS-SEM) statistical method, revealed that performance expectancy, facilitating factors, hedonic motivation, mobility, trust, and service quality positively affect nonusers’ behavioral intention to adopt chatbots. In addition, equipment, interface, and trust have a significant impact on users’ trust in the context of mobile chatbots. Personal data privacy issues also have a negative effect on trust, in contrast to effort expectancy, which positively affects performance expectancy. As mobile service quality factors have not been investigated before in the context of chatbots, the findings of the present research are expected to provide useful insights both to academia and the business industry.
{"title":"Modeling Nonusers’ Behavioral Intention towards Mobile Chatbot Adoption: An Extension of the UTAUT2 Model with Mobile Service Quality Determinants","authors":"Gatzioufa Paraskevi, Vaggelis Saprikis, Giorgos Avlogiaris","doi":"10.1155/2023/8859989","DOIUrl":"https://doi.org/10.1155/2023/8859989","url":null,"abstract":"Artificial intelligence agents (chatbots), which are programs to communicate with users primarily in customer service contexts, are an alternative interaction channel supporting businesses in the digital environment and vital components in customer service. The present empirical paper, which is aimed at identifying and discussing the factors motivating nonusers to adopt the specific technology in mobile contexts, proposes a comprehensive conceptual model, which combines the UTAUT 2 behavioral theory with variables of mobile service quality contexts, such as information quality, privacy concerns, interface, and equipment, as well as trust and mobility factors. Data analysis, based on the partial least squares structural equation modeling (PLS-SEM) statistical method, revealed that performance expectancy, facilitating factors, hedonic motivation, mobility, trust, and service quality positively affect nonusers’ behavioral intention to adopt chatbots. In addition, equipment, interface, and trust have a significant impact on users’ trust in the context of mobile chatbots. Personal data privacy issues also have a negative effect on trust, in contrast to effort expectancy, which positively affects performance expectancy. As mobile service quality factors have not been investigated before in the context of chatbots, the findings of the present research are expected to provide useful insights both to academia and the business industry.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"18 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136351626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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