A structural equation modeling approach for the acceptance of driverless automated shuttles based on constructs from the Unified Theory of Acceptance and Use of Technology and the Diffusion of Innovation Theory

The present study investigated the attitudes and acceptance of automated shuttles in public transport among 340 individuals physically experiencing the automated shuttle ‘Emily’ from Easymile in a mixed traffic environment on the semi-public EUREF (Europäisches Energieforum) campus in Berlin. Automated vehicle acceptance was modelled as a function of the Unified Theory of Acceptance and Use of Technology (UTAUT) constructs performance expectancy, effort expectancy, social influence, and facilitating conditions, the Diffusion of Innovation Theory (DIT) constructs compatibility and trialability, as well as trust and automated shuttle sharing. The results show that after adding the DIT constructs, automated shuttle sharing, and trust to the model, the effect of performance expectancy on behavioural intention was no longer significant. Instead, compatibility with current travel was the strongest predictor of behavioural intention to use automated shuttles. It was further found that individuals who are willing to share rides in an automated shuttle with fellow travelers (i.e., automated shuttle sharing) and who trust automated shuttles (i.e., trust) are more likely to intend to use automated shuttles (i.e., behavioural intention). The highest mean rating was obtained for believing that automated shuttles are easy to use, while the lowest mean rating was obtained for feeling safe inside the automated shuttle without any type of supervision. The analysis revealed a preference for the supervision of the automated shuttle via an external control room to the supervision by a human steward onboard. We recommend future research to investigate the hypothesis that compatibility could serve as an even stronger predictor of the behavioural intention to use automated shuttles in public transport than performance expectancy.     

Acquisition and transfer of conceptual learning by normals and retardates: the effects of modeling, verbal cues, and reinforcement

The present study compared the effects of modeling, verbal cues, and reinforcement on conceptual learning of normals and retardates. Performance on both original learning tasks and a transfer task was examined. The results indicated that, relative to a control group, modeling alone, modeling plus verbal cues, and exposure to the completed task plus verbal cues facilitated original conceptual learning. Furthermore, modeling plus verbal cues was more effective in reducing errors than modeling alone. Original learning was not affected by tangible reinforcement, social reinforcement, or IQ level. No significant effects were found for a transfer task.     

Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries

We investigated public acceptance of conditionally automated (SAE Level 3) passenger cars using a questionnaire study among 9,118 car-drivers in eight European countries, as part of the European L3Pilot project. 71.06% of respondents considered conditionally automated cars easy to use while 28.03% of respondents planned to buy a conditionally automated car once it is available. 41.85% of respondents would like to use the time in the conditionally automated car for secondary activities. Among these 41.85%, respondents plan to talk to fellow travellers (44.76%), surf the internet, watch videos or TV shows (44%), observe the landscape (41.70%), and work (17.06%). The UTAUT2 (Unified Theory of Acceptance and Use of Technology) was applied to investigate the effects of performance and effort expectancy, social influence, facilitating conditions, and hedonic motivation on the behavioural intention to use conditionally automated cars. Structural equation analysis revealed that the UTAUT2 can be applied to conditional automation, with hedonic motivation, social influence, and performance expectancy influencing the behavioural intention to buy and use a conditionally automated car. The present study also found positive effects of facilitating conditions on effort expectancy and hedonic motivation. Social influence was a positive predictor of hedonic motivation, facilitating conditions, and performance expectancy. Age, gender and experience with advanced driver assistance systems had significant, yet small (<0.10), effects on behavioural intention. The implications of these results on the policy and best practices to enable large-scale implementation of conditionally automated cars on public roads are discussed.     

Automated respiratory sinus arrhythmia measurement: Demonstration using executive function assessment

Respiratory sinus arrhythmia (RSA) is a quantitative metric that reflects autonomic nervous system regulation and provides a physiological marker of attentional engagement that supports cognitive and affective regulatory processes. RSA can be added to executive function (EF) assessments with minimal participant burden because of the commercial availability of lightweight, wearable electrocardiogram (ECG) sensors. However, the inclusion of RSA data in large data collection efforts has been hindered by the time-intensive processing of RSA. In this study we evaluated the performance of an automated RSA-scoring method in the context of an EF study in preschool-aged children. The absolute differences in RSA across both scoring methods were small (mean RSA differences = –0.02–0.10), with little to no evidence of bias for the automated relative to the hand-scoring approach. Moreover, the relative rank-ordering of RSA across both scoring methods was strong (rs = .96–.99). Reliable changes in RSA from baseline to the EF task were highly similar across both scoring methods (96%–100% absolute agreement; Kappa = .83–1.0). On the basis of these findings, the automated RSA algorithm appears to be a suitable substitute for hand-scoring in the context of EF assessment.     

Should Candidates Smile to Win Elections? An Application of Automated Face Recognition Technology

Previous studies examining whether the faces of candidates affect election outcomes commonly measure study participants' subjective judgment of various characteristics of candidates, which participants infer based solely on the photographic images of candidates. We, instead, develop a smile index of such images objectively with automated face‐recognition technology. The advantage of applying this new technology is that the automated process of measuring facial traits is by design independent of voters' subjective evaluations of candidate attributes, based on the images, and thus allows us to estimate “undiluted” effects of facial appearance per se on election outcomes. The results of regression analysis using Japanese and Australian data show that the smile index has statistically significant and substantial effects on the vote share of candidates even after controlling for other covariates.     

To share or not to share: A theoretically guided investigation of factors predicting intentions to use fully automated shared passenger shuttles

This study applied the Theory of Planned Behaviour (TPB) to assess individuals’ intentions to use fully automated shared passenger shuttles when they become publicly available. In addition, perceived trust was assessed to examine the extent to which this variable could account for additional variance in intentions above the TPB constructs of attitudes, subjective norms, and perceived behavioural control (PBC). Further, and also guided by the TPB, the study explored the differences in behavioural, normative, and control beliefs between individuals who reported high intentions to use automated passenger shuttles in the future (high intenders) and individuals who reported low intentions to use fully automated shared passenger shuttles in the future (low intenders). Participants (N = 438; 64% female) aged between 17 and 84 years (Mage = 35.42 years) were asked to complete an online questionnaire which took approximately 15 min. The findings revealed that attitudes, subjective norms, and PBC were significant positive predictors of intentions to use fully automated shared passenger shuttles when they become publicly available. When perceived trust was added to the hierarchical regression, this variable was shown to account for additional significant variance in intentions above the TPB constructs and was shown to be a significant positive predictor of intentions. Further, the results revealed significant differences in beliefs held by high and low intenders. Specifically, high intenders held significantly more positive beliefs towards fully automated shared passenger shuttles than low intenders. In turn, low intenders held significantly more negative beliefs towards these vehicles than high intenders. Overall, these findings provide support for the utility of the TPB in examining individuals’ intentions to use fully automated shared passenger shuttles when they become publicly available.     

Measuring the importance of information in judgment: Individual differences in weighting ability and effort

Measuring the importance of cues in social judgment has been a longstanding problem. Past research has shown individual differences in the impact of ability and study effort on judgments of student performance. This research examined the hypothesis that the individual differences are due to the weight given to the information as opposed to the perceived extremity of the values of the information. Subjects judged the performance of hypothetical students described by ability, study effort, and effort during an exam. Individual differences in the impact of the three types of information were obtained and were predictable from self-reports of the relative importance of information. Different values of weights were necessary to account for the differences in the impact of information, although there were also differences in the perceived extremity of the information. The theoretical and applied significance of distinguishing the weight given to information in judgment from its subjective value are discussed. On the basis of a new review of the literature, as well as the present results, it is concluded that self-reports of the relative importance of information are predictive of individual differences in information use in judgment, but that they may reflect the total impact of information rather than only the weight.     

A Comparison of Human Narrative Coding of Redemption and Automated Linguistic Analysis for Understanding Life Stories

The majority of life narrative research is performed using trained human coders. In contrast, automated linguistic analysis is oft employed in the study of verbal behaviors. These two methodological approaches are directly compared to determine the utility of automated linguistic analysis for the study of life narratives. In a study of in‐person interviews (N = 158) and a second study of life stories collected online (N = 242), redemption scores are compared to the output of the Linguistic Inquiry and Word Count (Pennebaker, Francis & Booth, 2001). Additionally, patterns of language are found using exploratory principal components analysis. In both studies, redemption scores are modestly correlated with some LIWC categories and unassociated with the components. Patterns of language do not replicate across samples, indicating that the structure of language does not extend to a broader population. Redemption scores and linguistic components are independent predictors of life satisfaction up to 3 years later. These studies converge on the finding that human‐coded redemption and automated linguistic analysis are complementary and nonredundant methods of analyzing life narratives, and considerations for the study of life narratives are discussed.     

An analysis of situation and person components of jealousy

Previous studies on jealousy have focused on person factors or on situational factors, but none has compared their relative importance. Two studies are presented which analyze the contributions of persons, situations, and their interaction, with respect to jealous reactions. The first study examined intraperson variability in the intensity of jealous responses of 302 males and females when presented with four types of hypothetical jealousy situations (work, family, social, and sexual). The results of the first study supported a dispositional explanation of jealousy (i.e., substantial person and situational variance). In addition, a sizable interaction effect was revealed. Study 2 examined the nature of this interaction for sexual jealousy. Jealousy situations were broken down by distinguishing between the event, characteristics of the partner, and the relationship as separate components of the situation. Seventy-one female respondents indicated their perception of threat and their degree of upset when considering the same hypothetical jealousy-evoking events with three different partners. A substantial person component was found. In addition, responses to the jealousy-evoking events were found to vary as a function of which partner was being considered. The second study demonstrated that aspects of the relationship (i.e., relative involvement) were more important than personality characteristics of the partner in determining this intrasubject variability in the intensity of jealous rections.     

On the perceived structure of occupations

Previous studies aimed at testing the structure of occupations have been based on analysis of aggregate data. In studies comparing the hierarchical and the hexagonal-circular models for the structure of interests, the former fit the data at least as well as the latter. The present study compared separately for each subject the hierarchical and the hexagonal models as the hypothesized structures for occupations. Twenty-six students judged the similarity between all possible pairs of 24 high-level occupations, 3 occupations for each of Roe's eight fields. The findings demonstrated that (a) the within-subject structures resemble the structure found in the aggregate data; (b) the structure of occupations based on similarity judgments resembles the structure based on preference data; (c) diagnostic properties suggest that for most subjects the perceived structure of occupations can be better described as clustering than as two-dimensional; (d) a tree representation of the perceived structure of occupations is more adequate than is the two-dimensional representation; and (e) the within-subject structure fit the hierarchical model better than it fit the hexagonal-circular model for all but one subject. A detailed analysis revealed those predictions of each model which were disconfirmed by most subjects' judgments. These results provide additional support for the relative advantage of the hierarchical over the circular model. These findings' implications for the structure of vocational interests and occupational choice were discussed.     

User acceptance of automated shuttles in Berlin-Schöneberg: A questionnaire study

Automated shuttles are now in a prototyping phase in several research projects. However, there is still a paucity of knowledge on the acceptance of these shuttles. This paper presents the results of a questionnaire study among individuals (n = 384) who physically experienced an automated shuttle on an office campus in Berlin-Schöneberg. The findings indicate that the respondents were positive towards automated shuttles and could envision their use as feeders to public transport systems, in both urban and rural areas. The respondents were less satisfied with the effectiveness of the shuttle compared to their existing form of travel, the speed of the shuttle, and the space for luggage. A principal component analysis resulted in the retention of three components: (1) intention to use, (2) shuttle and service characteristics, and (3) shuttle effectiveness compared to existing transport. Older respondents expressed a higher intention to use, but found the shuttle less effective than their existing travel. We argue that automated shuttles are a valued concept, but speed and efficiency have to improve, in order for automated shuttles to become viable on a wide scale. Future research should use more objective measures and establish long-term effects in larger, more representative samples.     

Effects of visual factors during automated driving of mobility scooters on user comfort: An exploratory simulator study

An automated mobility scooter is expected to provide convenient and safe transportation for users in their living area. However, there is limited research on user comfort compared to that on user safety for the automated driving of mobility scooters. Because the user does not perform driving tasks in automated driving, the visual information from the peripheral environment and visual behavior is expected to closely affect the psychological comfort of the user. This study clarifies the effects of factors related to the automated driving of mobility scooters and the peripheral environment on the visual behavior and psychological comfort of the user. Effects of driving velocity and pedestrian density on the visual behavior and psychophysiological responses of users were investigated via a driving simulator. The results showed that automated driving in an environment with a high pedestrian density can result in a decrease in fixation duration, deactivation of visual processing, sympathetic activation, and feeling of negative emotion. This implies that the assessment of visual behaviors of users is important for the design of automated mobility scooters to improve user comfort.     

职业紧张因素的结构关系分析

运用经修订的库珀职业紧张量表对不同职业和性别的我国职工的职业紧张作了研究,发现不同职业和性别对于职务感受和个人因素解释及身体健康状况等各有显著影响,通过对量表的结构关系分析后认为目标要求、应付工作压力的策略和职工的内部控制感是影响职业紧张的深层原因。从而对现今国外有关职业紧张的理论提出了新的看法,为今后的研究与应用提供了理论根据和实践指导。     

The lack of effects of enriched and automated environments on the adaptive and maladaptive behavior of mentally retarded persons

This study addressed the relative effects of repeated exposures to an austere institutional dayroom, a toy enriched dayroom, a PUSH (Play Units for the Severely Handicapped) room that contained automated stimulation devices within a physical terrain, and a modular room that contained wall mounted automated stimulation devices, on the adaptive and maladaptive freeplay behavior of six groups of institutionalized mentally retarded individuals (N = 6 per group). Group One was observed in all four settings, whereas the other five were observed in two or more of the active settings. The results indicated that (1) there were only slight differences in object-directed adaptive behavior when the three active settings were compared to the austere setting, and (2) only the higher functioning subjects (Group Five) displayed consistent individual differences on any of the measures when active settings were compared. None of the comparisons, however, revealed statistically significant effects. This study clearly demonstrates the need for active control conditions, raises questions regarding the relevance of much of the previous research, and suggests that further refinements will be necessary before environments such as those in the present study produce meaningful changes in appropriate environmental interaction in the absence of staff mediation.     

Can we adapt to highly automated vehicles as passengers? The mediating effect of trust and situational awareness on role adaption moderated by automated driving style

The emergence of highly automated driving technology provides safe and convenient travel while also causing user inadaptation. Therefore, based on human factors engineering, it is necessary to study highly automated vehicles (HAVs) that meet different user needs. Thus, this study aims to investigate the relationships between state anxiety, situational awareness, trust, and role adaptation. The adaptation model is constructed to conduct a study on the adaptation of HAVs with different automated styles when user roles change from driver to passenger. Simulated riding was conducted in the HAV experiment (N = 117), collecting scale data after each participant had experienced each automated driving style. A structural equation modeling approach was applied to analyze the adaptation model based on scale data. The results showed that there was a significant correlation between state anxiety, situational awareness, trust, and role adaptation. State anxiety has a significant negative predictive effect on trust, situational awareness, and role adaptation. In addition to its direct impact on role adaptation, state anxiety also has an indirect effect on role adaptation through situational awareness and trust. Furthermore, the automated driving style has been confirmed to have a moderating role in the relationship between the direct and indirect effects of state anxiety and role adaptation. Our findings contribute to multiple streams of the literature and have important implications for designing personalized automated driving to improve user acceptance.     

Dishabituation and spontaneous recovery of the electrodermal orienting response: Effects of extraversion,impulsivity, sociability,and caffeine

The relationship between extraversion and psychophysiological indices of arousal is not yet fully understood. The present study attempted to further clarify this relationship by using caffeine to systematically manipulate arousal. Subjects pretested on the Eysenck Personality Inventory were given caffeine or a placebo, then underwent habituation, dishabituation, and spontaneous recovery of the electrodermal OR. Separate analyses examined the main and interactive effects of extraversion, impulsivity, and sociability with caffeine. Several tonic and phasic measures showed group reversal effects, with introverts having higher tonic levels and larger phasic responses under placebo conditions and extraverts having larger phasic responses and higher tonic levels under caffeine. Although both tonic and phasic responses were differentially affected, the group reversal effects occurred at different points in time on tonic than they did on phasic measures relative to the theoretical buildup of inhibition. The findings for impulsivity were quite consistent with those for extraversion, and both sets of results were generally supportive of the Eysenck hypothesis.     

Achievement and affiliation motivation in career-oriented and homemaking-oriented college women

The purpose of this research was to investigate the possibility of an interaction between need for achievement and need for affiliation in career-oriented and homemaking-oriented college women. In the first study, scores on the appropriate scales (Achievement and Affiliation) of the Adjective Check List were obtained for 250 female college students, who were also classified as career or homemaking oriented on the basis of their responses to a questionnaire concerning postcollege plans. No significant differences were found between the career- and homemaking-oriented groups on Achievement and Affiliation; but, as predicted, a significant interaction occurred between the two variables. A second study, involving 257 college women and employing the same procedures and analysis, replicated the results of the original study: no main effects, but a significant interaction between Achievement and Affiliation. Implications of the findings for female career development and the counseling of women are discussed.     

External communication of automated vehicles in mixed traffic: Addressing the right human interaction partner in multi-agent simulation

The urban traffic system is most likely to change in the next years to a mixed traffic with human drivers, vulnerable road users, and automated vehicles. In the past, the development of external communication approaches for automated vehicles focused on scenarios where an automated vehicle communicates with either a pedestrian or a human driver. However, interactions with more than one traffic partner are more realistic. Therefore, a study with 42 participants was conducted with a multi-agent simulation in which an automated vehicle interacted simultaneously with two participants, a pedestrian and a driver of a manual vehicle. In this study, two main scenarios were investigated in order to evaluate the safety and efficiency of the interactions and to determine whether the human road users feel correctly addressed. In one scenario, the pedestrian had to cross the road in front of the automated and the manual vehicle, which were approaching from different sides. In the other, the manual vehicle had to drive through a bottleneck in front of the oncoming automated vehicle, while the pedestrian had to cross the road after both vehicles passed. The communication approach of the automated vehicle consisted of implicit signals using a speed profile and lateral offset within its lane, and explicit signals using an external human–machine interface. The results of the study show that no collisions were observed in terms of safety and no significant negative effects on efficiency were measured. However, in contrast to single agent interactions, a majority of participants felt wrongly addressed in situations where the automated vehicle signals the right-of-way to the other human road user. It can be concluded that the communication approach of the automated vehicle needs to be modified in order to address certain road users more clearly.