Measuring data sharing intention and its association with the acceptance of connected vehicles

Transportation agencies and researchers are optimistic about the potential use of data collected from connected vehicles (CVs) for a variety of traffic and transportation applications. However, the literature lacks the evaluation of data sharing intention of the public for CV applications and its relationship with CV acceptance. This study investigated this gap by conducting a questionnaire survey of 2400 US adults. The results showed that the intention to share CV data depends upon the use of data but not the type of data. The possible uses of CV data were found to be grouped under four categories: driver information, congestion assessment and reduction, and pavement and infrastructure assessment and improvement (ICP); enforcement of traffic rules and fees based on usage (EF); roadside assistance and crash investigation (RC); and research purposes (RP). The data sharing intention for these four data uses vary, though with some commonality, which reflects the overall data sharing intention in CV technology (CVT). In addition, it was found that data privacy and security issues of CVT lower the data sharing intention and CV acceptance. Thus, a number of ways to improve CV acceptance by minimizing the data issues of CVT are discussed. Significant differences in perception of data privacy and security, data sharing intention, and CV acceptance were observed for individuals of different socio-economic and driving-related characteristics.     

Negative attitudes towards cyclists influence the acceptance of an in-vehicle cyclist detection system

The shift towards automation and safer vehicles will increasingly involve use of technological advancements such as Advanced Driver Assistance Systems (ADAS). Nevertheless, these technologies need to meet users’ perceived needs to be effectively implemented and purchased. Based on an updated version of the Technology Acceptance Model (TAM), this study analyses the main determinants of drivers’ intention to use an ADAS aimed at detecting cyclist and preventing potential collision with them through an auto-braking system. Even if the relevance of perceived usefulness, perceived ease of use and trust on the acceptance of a new system has been already discussed in literature, we considered the role of an external variable such as attitudes towards cyclists in the prediction of an ADAS aimed to improve the safety of cyclists. We administered a questionnaire measuring negative attitudes towards cyclists, trust, perceived usefulness, perceived ease of use and the behavioural intention to use the system to 480 Italian drivers. Path analysis using Bayesian estimation showed that perceived usefulness, trust in the system, and negative attitudes towards cyclists have a direct effect on the intention to use the ADAS. Considering the role of attitudes towards other road users in the intention to use new ADAS aimed to improve their safety could foster the user’s acceptance, especially for those people who express a negative representation of cyclists and are even more unlikely to accept the technology.     

On the way to autonomous driving: How age influences the acceptance of driver assistance systems

Driver assistance systems have the potential to create the basis for future mobility solutions. They enable older generations in need of assistance to maintain their mobility even in the case of physical deficits. Therefore, we conducted a literature review and identified factors that may influence the acceptance of driver assistance systems. Based on the technology acceptance model and other influencing factors, we developed a research model that was validated with the help of a study (n = 227). The results show that, depending on age, there are differences in the acceptance of driver assistance systems and their influencing factors among old and young people. The five determinants of acceptance, perceived usefulness, perceived ease of use and trust in technology are viewed as equally important for all age groups. Differences emerge within the group of older vehicle drivers with varying weighting. For the 50–59 age group, perceived ease of use and social norm are most important, while for the 60–69 age group, perceived usefulness and trust in technology are very important. Among 70–90-year olds, trust in technology is emphasized as most important. Our results show how important it is to increase the confidence of older drivers in age-appropriate driver assistance systems, using target-group-specific advertising and public relations work.     

Extending the technology acceptance model to mobile telecommunication innovation: The existence of network externalities

• Consumer acceptance of technological innovations is crucial to marketing new products. According to the most influential model in this area, the Technology Acceptance Model (TAM), perceived usefulness (PU) and perceived ease of use (PEOU) determine users' behavioural intentions to use or purchase a system or product. In the specific context of network externalities, a sense of utility that arises from the number of users (NOU) is considered as important as technology‐specific valuation. This study conducted an empirical survey to examine the effects of TAM and network externalities on the acceptance of Multimedia Messaging Services (MMS), an innovation in the field of mobile telecommunications. The results confirm the effectiveness of the TAM and find that network externalities effect affects users' acceptance to this mobile innovations. Accordingly, the TAM can be applied to predict consumer's acceptance to the mobile telecommunication innovations in the presence of network externalities.

Copyright © 2008 John Wiley & Sons, Ltd.     

Acceptance by athletes of a virtual reality head-mounted display intended to enhance sport performance

While a growing number of studies have highlighted the potential of virtual reality (VR) to improve athletes’ skills, no research has yet focused on acceptance of a VR head-mounted display (VR-HMD) designed to increase sport performance. However, even if technological devices could potentially lead to performance improvement, athletes may not always accept them. To investigate this issue, the Technology Acceptance Model (TAM) examines if perceived usefulness, perceived ease of use, perceived enjoyment, and subjective norms (i.e., social influence) are positive predictors of intention to use a specific technology. The aims of the present study were to test with competitive athletes the validity of the TAM before a first use of a VR-HMD intended to enhance sport performance and to examine to what extent the level of practice and the type of sport practiced have an influence on the previous variables of the TAM. The study sample comprised 1162 French athletes (472 women, 690 men, M_age = 24.50 ± 8.51 years) who usually practiced a sport in competition (from recreational to international level). After reading a short text presenting the VR-HMD and its interests for sport performance, the participants filled out an online questionnaire assessing their acceptance of this technological device before a first use. The results of the structural equation modeling analysis revealed that perceived usefulness, perceived ease of use, perceived enjoyment, and subjective norms were positive predictors of intention to use this VR-HMD, validating the suitability of the TAM for investigating the acceptance by athletes of a VR-HMD designed to increase their sport performance. The results also showed that athletes of all sport levels (a) had a significant intention to use VR, (b) found it quite useful (except for recreational athletes), quite easy to use, and quite pleasant to use, even if their entourage would not encourage them to use it (except for international athletes), and (c) found the VR-HMD easy and pleasant to use whatever the sport practiced. Notably some athletes (e.g., triathletes, swimmers, cyclists) did not find the VR-HMD significantly useful and did not have significant intention to use it to increase their performance. Identifying acceptance by athletes of such a device may increase the likelihood that it will be used by athletes of different levels and from different sports, so that they can benefit from all its advantages related to the improvement of their sport performance. Needs-based targeted interventions may also be conducted toward athletes who might be reluctant to integrate this type of device into their training.     

Antecedents of virtual community satisfaction and loyalty: an empirical test of competing theories.

The rapid growth of virtual communities (VCs) on the Internet raises important research questions regarding the antecedents of satisfaction and loyalty in VCs. This study compared the technology acceptance model (TAM), Seddon Information Systems Success Model (Seddon model), and an integrated model (combining the TAM and Seddon model) to examine which model best helps to predict user satisfaction with VCs. Using a structural equation model, data collected from 198 community members were used to compare the three models in terms of overall model fit, explanatory power, and path significance. The findings show that two TAM components (perceived usefulness and ease of use) are determinants of user satisfaction with VCs. This study also found the influence of quality-perception dimensions (e.g., system and information quality) on user satisfaction to be significant. Additionally, this study found general support for user satisfaction as a determinant of loyalty in VCs. Finally, an integrated model, combining the TAM and Seddon model, provided better explanatory power than either the TAM or the Seddon model alone. Finally, this study discusses the implications of these findings and offers directions for future research.     

Different level automation technology acceptance: Older adult driver opinion

The increase in the number of older adult drivers in developed countries has raised safety concerns due to the decline in their sensory, motor, perceptual, and cognitive abilities which can limit their driving capabilities. Their driving safety could be enhanced by the use of modern Automated Driver Assistance Systems (ADASs) and might totally resolved by full driving automation. However, the acceptance of these technologies by older adult drivers is not yet well understood. Thus, this study investigated older adult drivers’ intention to use six ADASs and full driving automation through two questionnaires with 115 and 132 participants respectively in Rhode Island, USA. A four-dimensional model referred to as the USEA model was used for exploring older adult drivers’ technology acceptance. The USEA model included perceived usefulness, perceived safety, perceived ease of use, and perceived anxiety. Path Analysis was applied to evaluate the proposed model. The results of this study identified the important factors in older adult drivers’ intention to use ADASs and full driving automation, which could assist stakeholders in improving technologies for use by older drivers.     

基于技术接受模型的青少年网络游戏成瘾机制研究

本研究以技术接受模型(TAM)为理论框架, 通过对380名中学生的问卷调查考察了青少年网络游戏成瘾的影响因素及其机制。结果发现:(1)有用感、易用感、品质感知、游戏体验和态度与网络游戏成瘾显著正相关;(2)品质感知和游戏体验通过态度的部分中介作用对网络游戏成瘾产生间接影响, 同时对网络游戏成瘾有直接效应;有用感和易用感通过态度的完全中介作用对网络游戏成瘾产生间接影响, 对网络游戏成瘾没有直接效应。本研究结果表明, 品质感知、有用感、易用感和游戏体验对青少年网络游戏成瘾具有重要影响, 态度是其中的重要中介变量。     

Public acceptance of semi-automated truck platoon driving. A comparison between Germany and California

Platooning technology aims at achieving fuel savings by reducing the distance between two or more electronically coupled vehicles. This technology has recently been tested on public highways with heavy trucks in Germany and California. The objective of this study is to assess the level of acceptance among other road users as well as influencing factors of acceptance. An online questionnaire was administered in Germany and California with a total of N = 536 participants. They received information about truck platoon driving (level-1 and level-2 automation) and answered questions about their attitudes towards the technology as well as their behavioral intention to cooperate with the truck platoons. The overall results showed that 70% of respondents indicated acceptance towards the technology, with acceptance rates being significantly higher in California than in Germany. German respondents were more willing to drive into the gap of platoon vehicles and preferred larger platooning gaps. An adaption of the Technology Acceptance Model (TAM) showed that the expected usefulness, and the expected ease of sharing the highway, were the strongest predictors for the behavioral intention to cooperate with platoon vehicles. However, the intention to cut in between platoon vehicles could not be predicted by these variables. Cut-in vehicles are a potential safety risk and decrease the efficiency of platoon driving. Therefore, future research should focus on finding behavioral countermeasures.     

Consumer knowledge and acceptance of advanced driver assistance systems

This research aimed to examine how personal car users are informed about Advanced Driver Assistance Systems (ADAS) in Australia, and the extent to which information received at point of sale influenced the level of understanding and adaptation of ADAS. Further, this study applied the Technology Acceptance Model (TAM) to assess drivers’ intentions to use ADAS within the next month. Participants were required to have purchased a new or second-hand vehicle within the past five years and which had at least one of the following five ADAS: autonomous emergency braking, lane departure warning, adaptive cruise control, blind spot monitoring, and rear cross traffic alert. Participants (N = 217, Mage = 47.87 years, 149 male) completed a 20-minute online questionnaire. The findings revealed that 122 (56%) participants reported not seeking out any information about ADAS prior to purchasing their vehicle. Further, the most reported approaches used by participants to learn about their vehicle’s ADAS were through the owner’s manual (n = 121, 55%) and via trial and error (n = 117, 54%). It was also found that total time spent with the salesperson in explaining ADAS features did not influence drivers’ level of understanding of ADAS or number of days to adapt to the ADAS in their vehicle. However, and consistent with the TAM, perceived usefulness and perceived ease of use were significant positive predictors of intentions to use ADAS within the next month. It was also found that participants who learnt about these technologies either via reading the owner’s manual, trial and error, or a verbal explanation at point of sale appeared to be more frequently classified as reporting higher acceptance of ADAS than those participants who did not use those learning methods. Given that technology in vehicles will continue to advance, it is vital that more work is conducted to educate drivers about the functionality of ADAS. Further, it is also important to communicate where buyers of personal cars can go and find accurate and reliable information about ADAS.     

The use of Web 2.0 technologies in marketing classes: Key drivers of student acceptance

With the proliferation in Web 2.0 technologies, many marketing educators are experimenting with new teaching and learning tools (e.g. Facebook, Twitter, YouTube and Second Life). The benefits of such technologies are often touted by scholars, and indeed, there is a good deal of evidence to support such a view. However, increasingly, educators are highlighting some of the limitations of technology in the learning environment. To draw parallels with other new product research in marketing, the adoption of new learning technologies is often not so widespread. The literature exhibits inconsistency about the willingness of students to adopt new technology in a learning environment, but no systematic research into the factors that affect technology acceptance yet exists. This research fills a gap in the literature by applying an augmented Technology Acceptance Model (TAM) to understand students' future intentions to adopt Twitter, a Web 2.0 technology shown to offer students a variety of benefits. By using partial least squares, the research shows that the main proximal driver of student adoption of Twitter is a utilitarian attitude. Students need to be convinced about ‘what's in it for me’, rather than persuaded about the technology's hedonic benefits. Other affective variables such as an individual's affinity with computers and risk tolerance were also found to be important drivers of perceived ease of use and perceived usefulness, the TAM's key antecedents. Copyright © 2013 John Wiley & Sons, Ltd.     

Exploring adolescents' intentions regarding the online learning courses in Taiwan.

This research combines computer self-efficacy, computer anxiety, innovation diffusion theory, the technology acceptance model, and a proposed new hybrid technology acceptance model to study adolescents' behavioral intentions to use online learning courses. The results of the study show computer self-efficacy, compatibility, perceived usefulness, and perceived ease of use have a great positive effect, and computer anxiety has a great negative effect, on the behavioral intention to use online learning courses. By explaining adolescents' behavioral intentions from a user's perspective, the findings of this research provide insight into the best way to promote new e-learning tools for adolescents.     

The impact of E-bus satisfaction on driving behaviour: A questionnaire-based study on E-bus drivers

The aggressive promotion of electric buses (E-buses) is receiving increasing attention as an important measure to reduce carbon emissions in the transport sector. Electric buses (E-buses) still have some defects, which may reduce driver satisfaction and affect a drivers’ driving behaviour (such as frequent attention to the instrument panel given a lack of energy and overspeeding given the time pressure caused by a lack of energy). In this study, the influencing factors of drivers’ overall satisfaction (perceived usefulness, perceived ease of use, environmental performance, technology acceptance and line environment) were investigated using the bus driver satisfaction questionnaire. The overall satisfaction level was measured directly by the overall satisfaction scale. Aberrant and positive driving behaviours were observed by the professional driver driving behaviour questionnaire. Taking overall satisfaction as the intermediary variable and driving behaviour (aberrant and positive driving behaviours) as the dependent variable, we established the hypothetical relationships among overall satisfaction, driving behaviour, perceived usefulness, perceived ease of use, environmental performance, technology acceptance, and line environment and constructed an E-bus driver driving behaviour structural equation model (SEM). Through an online questionnaire survey, the survey data of 313 E-bus drivers were obtained and verified for analysis. The results show that perceived usefulness, perceived ease of use, environmental performance and technology acceptance have a positive impact on overall satisfaction, and environmental performance has the greatest impact on overall satisfaction; overall satisfaction has a negative impact on aberrant driving behaviour and a positive impact on positive driving behaviour; and the line environment has a positive impact on aberrant driving behaviour. From the driver's point of view, this study plays a positive role in a more comprehensive understanding of the advantages and disadvantages, and the factors restricting the application, of E-buses. Meanwhile, it provides a strong basis for government departments, industry management departments and bus companies to formulate policies (such as E-bus driver training and management strategies).     

感知易用性会影响网络游戏中虚拟商品的使用意愿么?——感知有用性和玩家神经质的作用

基于技术接受模型考察了网络游戏中虚拟商品感知易用性对其使用意愿的影响,以及感知有用性、玩家神经质在其中的作用。采用虚拟商品使用意愿问卷、感知易用性问卷、感知有用性问卷和大五人格量表神经质分量表对559名有过网络游戏经验的大学生进行调查。结果显示:(1)虚拟商品的感知易用性可显著正向预测使用意愿;感知有用性在两者间起中介作用;(2)虚拟商品感知有用性的中介作用受到玩家神经质的调节:对于低神经质的玩家,该间接效应显著;而对于高神经质的玩家,该间接效应不显著。     

Risk perception and adoption of digital innovation in mobile stock trading

An increase in retail investors, trading platforms, and smartphones is facilitating digital transformation in stock trading. Investments in mobile-centered digitalization by trading firms are rapidly becoming a source of competitive advantage. Distinctive psychological aspects involving risks, make stock trading a unique individual decision-making behavior. The objective of the present research is to examine the determinants of retail investors' behavioral intentions (BI) for mobile stock trading (MoST). Across two studies using a mixed method approach we empirically test a framework comprising cognitive risk-mitigation factors, perceived risk (PR), perceived financial cost (PFC), and technology acceptance model (TAM) constructs. The results indicate information quality, privacy, and security protection to mitigate the risk perception involved in trading on mobile platforms. Further, we report the mediation of PR in the relationship between the cognitive risk-mitigating factors and BIs to adopt MoST. Moreover, we find PFC to moderate PR and the TAM constructs' relationship with BIs to adopt MoST. Our research has important theoretical contributions and managerial implications to understand digital adoption behavior by retail investors for MoST platforms.     

Trust and intention to use autonomous vehicles: Manufacturer focus and passenger control

Autonomous Vehicle (AV) research has focused on public acceptance of and intention to use AVs, with trust emerging as important to these variables. Research on AV trust has centered on trust in vehicle performance. However, trust evaluation may include AV manufacturers and developers, and regulation pertaining to AVs; thus, we expand our measurement of trust to include beliefs based on manufacturers and regulation. In this experiment, we manipulate information regarding manufacturer focus (i.e., an emphasis on standards, regulations, and research (SRR) versus speed to market) to determine its effect on trust. When information focused on SRR, we found higher levels of trust in AV performance and in manufacturers, compared to when it focused on speed to market. In addition, information regarding passenger control (i.e., the ability to take over for the vehicle and to determine privacy settings) was manipulated to yield either high or low passenger control conditions. Behavioral Intention (BI) to use AVs was lowest when speed to market was emphasized and when passenger control was low. Furthermore, trust was tested as a mediator between perceived risk and BI. Trust in AV performance partially mediated the relationship between perceived AV performance risk and BI. In addition, trust in AV regulation partially mediated the relationship between AV privacy/security risk and BI. Researchers should continue to examine trust beyond the AV itself to encompass trust in manufacturers and regulations. Those designing and marketing AVs should carefully consider decisions that influence manufacturer/developer reputation and passenger control due to their effect on intention to use AVs.     

Trust,Perceived Risk,and Attitudes Toward Food Technologies1

There is substantial empirical evidence that both trust and risk perceptions influence public acceptance of new technologies. We reanalyzed 3 studies (on food technology) to compare whether (a) both trust and perceived risk are independently and directly associated with acceptance, or (b) the relationship between trust and acceptance is mediated by perceived risk. In support of Interpretation a, the (negative) correlation between trust and perceived risk was reduced when controlling for acceptance, whereas the correlation between trust and acceptance was somewhat reduced when controlling for perceived risk. Controlling for trust had little effect on the correlation between perceived risk and acceptance. These findings suggest that expressions of trust and perceived risk often might be reflections of prior attitudes toward the technology.     

Something for nothing: understanding purchasing behaviors in social virtual environments.

The present paper is composed of two studies. The first study explored the variables influencing the purchase of avatar-related products through the avatar users' survey research. This proposed a theoretical model of the purchase of avatar-related products using attitude toward an avatar, subjective norm, self-presentation, identification, and immersion. Although significant relationships were found for the individual links, the model was not supported. The second study focused on which variables predict the intention to use avatar-related products. A model was tested with avatar non-users. Results indicated that all relationships among variables in the Technology Acceptance Model (TAM), such as perceived ease of use of avatar, perceived usefulness of avatar, attitude toward using avatar, and intention to use avatar-related products, were strongly supported, as was the link between Internet self-efficacy and perceived ease of use of avatar. Also, the peer groups' subjective norm component which was a unique variable successfully predicted intention to use avatar-related products. Overall, all hypotheses were supported and the data were judged to be consistent with the model.     

Research on parking choice behavior of shared autonomous vehicle services by measuring users’ intention of usage

Shared autonomous vehicles (SAVs) are one of the important development directions of smart and green transportation. However, relevant researches are not sufficient at present. The factors influencing the intention to use SAVs and their parking choice behaviors need to be further analyzed. First, in order to better explain, predict, and improve travelers’ intention to use SAVs, the conceptual framework based on technology acceptance model was developed to establish the relationships between the travelers’ intention to use SAVs, social influence of SAVs, attitude toward behavior of SAVs, perceived risk of SAVs, perceived usefulness of SAVs and perceived ease of these use. Then structural equation model (SEM) was established to analyze the relationship between various variables. The results show that the perceived usefulness, behavior attitude, social influence, perceived ease of use, and perceived risk are the main factors that determine the intention to use SAVs. Through the test of direct effect, indirect effect, and total effect in the model, it is found that perceived usefulness has the largest total impact on intention to use SAVs, with a standardized coefficient of 0.765, followed by behavior attitude (0.732), social influence (0.597), perceived ease of use (0.462) and perceived risk of SAVs (−0.452). In addition, through the study of observed indicator variables ATB2 and BI3, it is found that perceived usefulness, perceived ease of use, social influence, perceived risk, attitude toward behavior, and behavior intention all have an impact on parking behavior. In order to study the specific influencing factors of parking choice behavior, a multinomial logit (MNL) model was established to analyze the relationships between travelers’ parking choice behaviors and the influential factors, which include travelers’ individual characteristics, travel attributes, and parking modes’ attributes by extracting from a questionnaire. The results show that the travel time, travel fees, parking charge, cruising fees, parking time and traffic emission are the main factors that determine travelers’ choices of parking. This paper provides advice for operators of SAVs.     

Gamers just want to have fun? Toward an understanding of the online game acceptance

This study sought to examine the factors affecting the acceptance of an entertainment medium, particularly online games, by expanding the technology acceptance model. To measure factors affecting the acceptance of online games, we fielded a survey with 244 gamers serving as respondents. Perceived usefulness, enjoyment, and economic value were found to have a positive influence on attitude toward gaming, whereas perceived ease of use was not a significant predictor. In addition, we found that gender and game type (multiplayer or not) showed differing patterns of results. Interestingly, perceptions of mass acceptance of gaming were found to have a negative effect on attitude toward online games. Theoretical and practical implications of these findings are discussed.