Consequences of autonomous vehicles: Ambivalent expectations and their impact on acceptance

Connected and autonomous vehicles (CAVs) are within reach of widespread deployment on public roads, but public perceptions are ambivalent. The objective of the present research was to assess expectations about the consequences of CAV introduction. These expectations should explain CAV acceptance, but their relative importance is poorly understood. We conducted a survey with a representatively drawn panel sample (N = 529) from France, Germany, Italy, and the UK. The survey consisted of a large item pool of expected consequences from CAV introduction, as well as general and affective evaluation of CAVs, ease of use, and behavioral intention to use CAVs. Exploratory factor analysis revealed four facets of expected consequences: road safety, privacy, efficiency and ecological sustainability. On average, expectations were mostly positive for ecological sustainability and safety, but negative for privacy. At the same time, substantial variance existed between respondents and between countries. For safety and efficiency, improvement was expected by a third of respondents, while another third expected worsening. Respondents from Italy expected more positive consequences for safety, while respondents from both France and Germany expected more negative consequences for privacy. To different degrees, all four facets predicted the intention to use CAVs in a structural equation model, primarily via affective evaluations. For policy makers, manufacturers, and service providers, understanding the trade-offs inherent to different CAV solutions will be central to ensure citizens’ needs are respected.     

Analysis of advanced driver assistance systems in police vehicles: A survey study

Few studies have examined the impact of advanced driver-assistance systems (ADAS) on police officers to improve driver safety and prevent crashes. This is in spite of police officers having higher driving-related mortality rates than average civilians. To fill this gap, a survey study was conducted on 73 police officers to assess their opinions on various ADAS features as well as their recommendations for improvement. Results of the correlation analyses indicated that officer behavior and opinion on ADAS features were influenced by the trust officers had in the available ADAS systems among other key factors such as ADAS training and perceived usefulness. On this basis, guidelines for future research and development of ADAS were provided to improve officer driving safety in police operations. The guidelines need to be further validated in future driving simulation or naturalistic studies.     

Factors that influence the acceptance of future shared automated vehicles – A focus group study with United Kingdom drivers

The development of Shared Automated Vehicles (SAVs) is well underway to provide mobility as a service (MaaS) and bring benefits such as reduced traffic congestion, reduced reliance on privately owned vehicles and increased independence to non-drivers. To realise the benefits of SAVs, adoption by private vehicle users is crucial. Previous research has shown this subset of users as the least likely to adopt SAVs, and it is not well understood what factors are important to achieve such adoption. The purpose of this study is to obtain an in-depth understanding of attitudes, perceptions and preferences that influence the acceptance of future SAVs for drivers. This paper presents the results from an online asynchronous focus group study with 21 British drivers as participants. From the analysis, Service Quality, Trust and Price Value emerged as the three most prominent factors to understand user acceptance of SAVs. These three main factors may be of prime importance for convincing naïve private car owners to accept high-speed SAVs. Productive use of travel time has been frequently mentioned in previous research as a benefit of vehicle automation but was scarcely mentioned by participants in this study. Shared Space Quality in introduced as an indicator for Service Quality, together with Security and Trusting Co-passengers as two indicators of Trust. Based on the findings, this paper concludes with a conceptual SAV technology acceptance model is introduced, with the results added as extended model predictors to the Unified Theory of Acceptance and Use of Technology (UTAUT2).     

Examining the Reliability of Various Interpersonal Acceptance-Rejection Theory (IPARTheory) Measures in Vietnamese Adolescents

Abstract

Perceiving one’s self as accepted by important others, such as parents, is fundamental and crucial for the well-being of each individual. One major aspect of interpersonal acceptance-rejection theory (IPARTheory) is examining how parental acceptance-rejection affects people’s psychological adjustment. This theory has been validated in many countries and cultural groups around the world, but has not been utilized in the Vietnamese context. This research aims to assess the reliability of IPARTheory measures in Vietnam and applicability of the theory itself among a Vietnamese sample. Participants included 162 students from a high school in Hanoi (M_age = 15.58 years; 69.8% female). Materials consisted of Vietnamese versions of various IPARTheory measures: Parental Acceptance-Rejection Questionnaire, Personality Assessment Questionnaire, Interpersonal Relationship Anxiety Questionnaire, and a demographics form designed specifically for this research. Analyses show that psychological maladjustment significantly correlated with perceived paternal rejection, maternal rejection, and their subscales. Cronbach’s alphas were strong, ranging from .73 to .97, except for the dependency subscale and hostility subscale of the Personality Assessment Questionnaire. Thus, the results provide evidence for the reliability of various IPARTheory measures in Vietnam. The relationships found in this study have implications for parents, teachers, and psychologists to employ in order to provide adolescents with appropriate guidance and intervention based on the importance of perceived parental acceptance-rejection.     

Identity centrality moderates the relationship between acceptance of group‐based stressors and well‐being

Two two‐wave studies were used to examine the proposition that identity centrality enhances the effectiveness of stressor acceptance in the face of group‐based stressors. Study 1 was conducted in newly commencing psychology students (N = 154). Stressor intensity, psychology student identity centrality, and attempted stressor acceptance were measured at two‐time points over 6‐weeks. Study 2 was conducted in a group of early to late career veterinarians (N = 92) and extended Study 1 by assessing stressor frequency as an indicator of the level of demand. Veterinarian identity centrality and stressor acceptance were measured twice over 12‐months. Both studies provided support for the predicted three‐way interaction. Only when Time 1 stressors and identity centrality were both high was stressor acceptance related to a reduction in perceived stressor intensity (Study 1) or burnout symptoms (Study 2) at Time 2. These findings suggest that identity centrality enhances the effectiveness of stressor acceptance for supporting wellbeing and resilience.     

Emotional Schemas

Beck's cognitive model has stressed the influence of cognitive processing in eliciting and maintaining emotional disorders. The concept of schema is extended in Emotional Schema Therapy to account for beliefs, assumptions, and strategies that comprise problematic theories of emotion that result in unhelpful strategies of emotion regulation and acceptance of emotion. In the present paper the central concepts of Emotional Schema Therapy are elucidated and research supporting the model is reviewed.     

The role of psychological factors on the choice of different driving controls: On manual,partial, and highly automated controls

The present study investigates the role of psychological factors on the choice of three controls (modes) in driving a vehicle, namely highly automated, partially automated, and manual control. Traditional driving habits, resistance to change, and behavioural beliefs were all assessed along with individual and socioeconomic variables. Using survey data (n = 595) of car users, a model was developed to predict the share of different driving controls and determine the effects of psychological variables. Results indicate that up to 55% of people prefer driving with highly automated control, and 30% prefer partially automated control. Behavioural beliefs (e.g., attitudes toward highly automated control) are not as critical to driving control as habits. People with stronger driving habits are less likely to use highly automated controls. A one-unit increase in worry could reduce driving in highly automated control by 5.5% and increase manual control by 4.5%, and those who welcome the new technologies are more likely to prefer highly automated control. Some practical policy solutions are also provided.     

Public acceptance of connected vehicles: An extension of the technology acceptance model

To examine the public acceptance of connected vehicles (CVs), this study developed a novel connected vehicle acceptance model (CVAM) extending the technology acceptance model (TAM). The model was built based on a questionnaire survey of 2400 US adults. Perceived data privacy and security associated with the technology was found to shape the trust, attitude, and behavioral intention to use CVs, in addition to the predictors of original TAM: perceived usefulness and ease of use. Results revealed that trust mediates the effect of perceived data privacy and security on CV acceptance, though its directional relationship with perceived usefulness and perceived ease of use is unclear. Socio-demographic and other characteristics of respondents associated with CV acceptance and its predictors were explored. A number of theoretical and practical implications of the study findings are discussed.     

How do the recognizability and driving styles of automated vehicles affect human drivers’ gap acceptance at T- Intersections?

Future traffic will be composed of both human-driven vehicles (HDVs) and automated vehicles (AVs). To accurately predict the performance of mixed traffic, an important aspect is describing HDV behavior when interacting with AVs. A few exploratory studies show that HDVs change their behavior when interacting with AVs, being influenced by factors such as recognizability and driving style of AVs. Unsignalized priority intersections can significantly affect traffic flow efficiency and safety of the road network. To understand HDV behavior in mixed traffic at unsignalized priority T-intersections, a driving simulator experiment was set up in which 95 drivers took part in it. The route in the driving simulator included three T-intersections where the drivers had to give priority to traffic on the major road. The participants drove different scenarios which varied in whether the AVs were recognizable or not, and in their driving style (Aggressive or Defensive). The results showed that in mixed traffic having recognizable aggressive AVs, drivers accepted significantly larger gaps (and had larger critical gaps) when merging in front of AVs as compared to mixed traffic having either recognizable defensive AVs or recognizable mixed AVs (composed of both aggressive and defensive). This was not the case when merging in front of an HDV in the same scenarios. Drivers had significantly smaller critical gaps when driving in traffic having non-recognizable aggressive AVs compared to non-recognizable defensive AVs. The findings suggest that human drivers change their gap acceptance behavior in mixed traffic depending on the combined effect of recognizability and driving style of AVs, including accepting shorter gaps in front of non-recognizable aggressive AVs and changing their original driving behavior. This could have implications for traffic efficiency and safety at such priority intersections. Decision makers must carefully consider such behavioral adaptations before implementing any policy changes related to AVs and the infrastructure.     

儿童忽视与同伴接受：消极社会行为的中介作用

运用问卷调查法和同伴提名法,考察小学4、5年级共503名儿童的消极社会行为（攻击行为、退缩行为、受欺负行为）、同伴接受和儿童忽视间的关系。结果发现,儿童忽视与退缩行为、受欺负行为之间存在显著正相关,与攻击行为之间相关不显著;儿童忽视与同伴接受有显著负相关。忽视通过消极社会行为的两组中介变量作用于儿童的同伴接受。