M. Cuciniello, T. Amorese, C. Greco, Zoraida Callejas Carrión, Carl Vogel, G. Cordasco, Anna Esposito
Based on a previous investigation, a quantitative study aimed to identify user’ preferences towards four synthetic voices of two different quality levels (classified through the sophistication of the synthesizer: low vs. high) is proposed. The voices administered to participants were developed considering two main aspects: the voice quality (high/low) and their gender (male/female). 182 unpaid participants were recruited for the study, divided in four groups according to their age, and therefore classified as adolescents, young adults, middle-aged, and seniors. To collect data regarding each voice, randomly audited by participants, the shortened version of the Virtual Agent Voice Acceptance Questionnaire (VAVAQ) was exploited. Outcomes of the previous study revealed that the voices of high quality, regardless of their gender, received a higher acclaim by all participants examined rather than the corresponding two voices assessed as lower quality. Conversely, findings of the current study suggest that the four new groups of participants involved agreed in showing their strong preference towards the high-quality voice gendered as female compared to all the other considered voices. Regarding the two voices gendered as male, the high-quality one was considered as more original and capable to arouse positive emotional states than the low-quality one. Moreover, the high-quality male voice was judged as more natural than the female low-quality one. Results provide some insights for future directions in the user experience and design field.
{"title":"A Synthetic Voice for an Assistive Conversational Agent: A Survey to Discover Italian Preferences regarding Synthetic Voice’s Gender and Quality Level","authors":"M. Cuciniello, T. Amorese, C. Greco, Zoraida Callejas Carrión, Carl Vogel, G. Cordasco, Anna Esposito","doi":"10.1155/2023/8858268","DOIUrl":"https://doi.org/10.1155/2023/8858268","url":null,"abstract":"Based on a previous investigation, a quantitative study aimed to identify user’ preferences towards four synthetic voices of two different quality levels (classified through the sophistication of the synthesizer: low vs. high) is proposed. The voices administered to participants were developed considering two main aspects: the voice quality (high/low) and their gender (male/female). 182 unpaid participants were recruited for the study, divided in four groups according to their age, and therefore classified as adolescents, young adults, middle-aged, and seniors. To collect data regarding each voice, randomly audited by participants, the shortened version of the Virtual Agent Voice Acceptance Questionnaire (VAVAQ) was exploited. Outcomes of the previous study revealed that the voices of high quality, regardless of their gender, received a higher acclaim by all participants examined rather than the corresponding two voices assessed as lower quality. Conversely, findings of the current study suggest that the four new groups of participants involved agreed in showing their strong preference towards the high-quality voice gendered as female compared to all the other considered voices. Regarding the two voices gendered as male, the high-quality one was considered as more original and capable to arouse positive emotional states than the low-quality one. Moreover, the high-quality male voice was judged as more natural than the female low-quality one. Results provide some insights for future directions in the user experience and design field.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":10.3,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139152400","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}
By integrating self-determination theory and perceived risk theory, the current research proposes a new model to predict students’ online learning adoption during an emergency situation such as the COVID-19 pandemic. More specifically, it is aimed at exploring how online communication self-efficacy, online learning belonging, and perceived risk predict students’ online learning adoption. A printed questionnaire was developed to collect data from 487 Vietnamese students using a quota sampling method. After missing data and outliers were removed, 450 questionnaires were found to be usable for data analysis. SMARTPLS version 3.2.2 was employed to analyze PLS-SEM and test the proposed hypotheses. The study found that online communication self-efficacy and perceived risk both have direct effects on students’ online learning adoption as well as indirect effects through the partial mediating role of online learning belonging. Our study also explored that perceived risk does not play a moderation in the association between online learning belonging and students’ online learning adoption. These findings fill important gaps in the literature and provide some implications for academicians, governments, educators, and parents in fostering students’ adoption of online learning.
{"title":"Students’ Online Learning Adoption during an Emergency Situation: Integrating the Self-Determination and Perceived Risk Theories","authors":"Sheng‐Ju Chan, Thi Xuan Nong, T. Nguyen","doi":"10.1155/2023/6128584","DOIUrl":"https://doi.org/10.1155/2023/6128584","url":null,"abstract":"By integrating self-determination theory and perceived risk theory, the current research proposes a new model to predict students’ online learning adoption during an emergency situation such as the COVID-19 pandemic. More specifically, it is aimed at exploring how online communication self-efficacy, online learning belonging, and perceived risk predict students’ online learning adoption. A printed questionnaire was developed to collect data from 487 Vietnamese students using a quota sampling method. After missing data and outliers were removed, 450 questionnaires were found to be usable for data analysis. SMARTPLS version 3.2.2 was employed to analyze PLS-SEM and test the proposed hypotheses. The study found that online communication self-efficacy and perceived risk both have direct effects on students’ online learning adoption as well as indirect effects through the partial mediating role of online learning belonging. Our study also explored that perceived risk does not play a moderation in the association between online learning belonging and students’ online learning adoption. These findings fill important gaps in the literature and provide some implications for academicians, governments, educators, and parents in fostering students’ adoption of online learning.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":10.3,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156738","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}
Ayman Abdalmajeed Alsmadi, Ahmed Shuhaiber, K. Al-Omoush
The high volatility and inherent high-risk nature of cryptocurrency investments promote the study of the determinants of value perception and the various factors influencing individuals’ intentions regarding whether to adopt, abstain from, or continue their investments in these dynamic cryptocurrency markets. The main aim of this study is to examine the determinants of behavioral intention to continue using cryptocurrencies. In addition, it is aimed at exploring the effect of gambling attitudes on the perceived benefits and legal environment in the cryptocurrency context. An online questionnaire was developed in order to gather data from 258 respondents in the United Arab Emirates (UAE). The research model was assessed, and the hypotheses were tested using PLS-SEM. The outcomes of the PLS analysis revealed that gambling attitudes, perceived benefits, legal environment, and market uncertainty are significant determinants of behavioral intention to continue using cryptocurrencies. This study also revealed a significant effect of gambling attitudes and legal environment on the perceived benefits of cryptocurrencies. This study adds to the body of knowledge on cryptocurrency adoption by providing new insights into the factors that influence consumers’ continued investment. Furthermore, the study has crucial practical implications for cryptocurrency firms in promoting this financial technology to users by increasing policymakers’ understanding of how investors think and get inspired to continue investing in cryptocurrencies.
{"title":"Rolling the Crypto Dice: The Interplay of Legal Environments, Market Uncertainty, and Gambling Attitudes on Users’ Behavioral Intentions","authors":"Ayman Abdalmajeed Alsmadi, Ahmed Shuhaiber, K. Al-Omoush","doi":"10.1155/2023/8259139","DOIUrl":"https://doi.org/10.1155/2023/8259139","url":null,"abstract":"The high volatility and inherent high-risk nature of cryptocurrency investments promote the study of the determinants of value perception and the various factors influencing individuals’ intentions regarding whether to adopt, abstain from, or continue their investments in these dynamic cryptocurrency markets. The main aim of this study is to examine the determinants of behavioral intention to continue using cryptocurrencies. In addition, it is aimed at exploring the effect of gambling attitudes on the perceived benefits and legal environment in the cryptocurrency context. An online questionnaire was developed in order to gather data from 258 respondents in the United Arab Emirates (UAE). The research model was assessed, and the hypotheses were tested using PLS-SEM. The outcomes of the PLS analysis revealed that gambling attitudes, perceived benefits, legal environment, and market uncertainty are significant determinants of behavioral intention to continue using cryptocurrencies. This study also revealed a significant effect of gambling attitudes and legal environment on the perceived benefits of cryptocurrencies. This study adds to the body of knowledge on cryptocurrency adoption by providing new insights into the factors that influence consumers’ continued investment. Furthermore, the study has crucial practical implications for cryptocurrency firms in promoting this financial technology to users by increasing policymakers’ understanding of how investors think and get inspired to continue investing in cryptocurrencies.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":10.3,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138967867","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}
Fphubbing (friend phubbing) indicates snubbing friends by checking and/or using one’s smartphone. This study examined three approaches to provide more detailed insights and comprehensive views of phubbing: individual differences, social influences, and technological influences on Fphubbing. In addition, this study explored the outcomes of Fphubbing and further examined the mediating role of Fphubbing between proposed predictors and consequences in this study. A sample of 266 college students (aged between 18 and 38, M age = 20.02 ) also revealed that (a) smartphone dependence was positively associated with Fphubbing, while self-control had a negative association with Fphubbing; (b) social norms were positively related to Fphubbing; and (c) technology overload and interruptive notifications were positively associated with Fphubbing. We also found that Fphubbing was negatively associated with friendship commitment and satisfaction, respectively. Further, Fphubbing served as a mediator in the proposed model.
{"title":"Not My Fault to Phub Friends! Individual, Social, and Technological Influences on Phubbing and Its Consequences","authors":"Juhyung Sun, Doyle Yoon","doi":"10.1155/2023/4059010","DOIUrl":"https://doi.org/10.1155/2023/4059010","url":null,"abstract":"Fphubbing (friend phubbing) indicates snubbing friends by checking and/or using one’s smartphone. This study examined three approaches to provide more detailed insights and comprehensive views of phubbing: individual differences, social influences, and technological influences on Fphubbing. In addition, this study explored the outcomes of Fphubbing and further examined the mediating role of Fphubbing between proposed predictors and consequences in this study. A sample of 266 college students (aged between 18 and 38, \u0000 \u0000 \u0000 \u0000 M\u0000 \u0000 \u0000 age\u0000 \u0000 \u0000 =\u0000 20.02\u0000 \u0000 ) also revealed that (a) smartphone dependence was positively associated with Fphubbing, while self-control had a negative association with Fphubbing; (b) social norms were positively related to Fphubbing; and (c) technology overload and interruptive notifications were positively associated with Fphubbing. We also found that Fphubbing was negatively associated with friendship commitment and satisfaction, respectively. Further, Fphubbing served as a mediator in the proposed model.","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":null,"pages":null},"PeriodicalIF":10.3,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139002236","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}
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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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.
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