Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling approach

Adapting to the human: A systematic review of a decade of human factors research on adaptive autonomy

This systematic review provides an understanding of existing human factors research on adaptive autonomy, its design, its impacts, and its definition. We conducted a search on adaptive autonomy and additional relevant search terms in four databases, which produced an initial 245 articles. The application of inclusion and exclusion criteria produced a total of 60 articles for in-depth review. Through a collaborative coding process and analysis, we extracted triggers for and types of autonomy adaptations, as well as human factors dependent variables that have been studied in previous adaptive autonomy research. Based on this analysis, we present a definition of adaptive autonomy for use in human factors artificial intelligence research, as well as a comprehensive review of existing research contributions, notable research gaps, and the application of adaptive autonomy.

Comparison of proactive and reactive interaction modes in a mobile robotic telecare study

Mobile robotic telepresence systems require that information about the environment, the task, and the robot be presented to a remotely located user (operator) who controls the robot for a specific task. In this study, two interaction modes, proactive and reactive, that differ in the way the user receives information from the robot, were compared in an experimental system simulating a healthcare setting. The users controlled a mobile telepresence robot that delivered and received items (medication, food, or drink), and also obtained metrics (vital signs) from a simulated patient while the users performed a secondary healthcare-related task (they compiled health records which were displayed to them on the screen and answered related questions). The effect of the two interaction modes on overall performance and user perception was evaluated through a within-participant study design conducted with 50 participants belonging to two different types of populations (with and without a technological background). Efficiency, effectiveness, understanding, satisfaction, and situation awareness were defined as the dependent variables measured both objectively and subjectively. The proactive mode increased user performance, and understanding of the system and reduced the workload compared to the reactive mode. However, several of the users valued the option of increased user control experienced in the reactive mode. We, therefore, proposed design suggestions to highlight some of the benefits of factoring the reactive mode into the design as a hybrid mode.

Interactive effects of users' openness and robot reliability on trust: evidence from psychological intentions, task performance, visual behaviours, and cerebral activations

Although trust plays a vital role in human-robot interaction, there is currently a dearth of literature examining the effect of users' openness personality on trust in actual interaction. This study aims to investigate the interaction effects of users' openness and robot reliability on trust. We designed a voice-based walking task and collected subjective trust ratings, task metrics, eye-tracking data, and fNIRS signals from users with different openness to unravel the psychological intentions, task performance, visual behaviours, and cerebral activations underlying trust. The results showed significant interaction effects. Users with low openness exhibited lower subjective trust, more fixations, and higher activation of rTPJ in the highly reliable condition than those with high openness. The results suggested that users with low openness might be more cautious and suspicious about the highly reliable robot and allocate more visual attention and neural processing to monitor and infer robot status than users with high openness.

Understanding trust calibration in automated driving: the effect of time, personality, and system warning design

Under the human-automation codriving future, dynamic trust should be considered. This paper explored how trust changes over time and how multiple factors (time, trust propensity, neuroticism, and takeover warning design) calibrate trust together. We launched two driving simulator experiments to measure drivers' trust before, during, and after the experiment under takeover scenarios. The results showed that trust in automation increased during short-term interactions and dropped after four months, which is still higher than pre-experiment trust. Initial trust and trust propensity had a stable impact on trust. Drivers trusted the system more with the two-stage (MR + TOR) warning design than the one-stage (TOR). Neuroticism had a significant effect on the countdown compared with the content warning.Practitioner summary: The results provide new data and knowledge for trust calibration in the takeover scenario. The findings can help design a more reasonable automated driving system in long-term human-automation interactions.

In robot we trust? The effect of emotional expressions and contextual cues on anthropomorphic trustworthiness

Following the evolution of technology and its application in various daily contexts, social robots work as an advanced artificial intelligence (AI) system to interact with humans. However, limited research has been done to discuss the role of emotional expressions and contextual cues in influencing anthropomorphic trustworthiness, especially from the design perspective. To address this research gap, the current study designed a specific robot prototype and conducted two lab experiments to explore the effect of emotional expressions and contextual cues on trustworthiness via a combination of subjective ratings and physiological measures. Results showed that: 1) positive (vs. negative) emotional expressions enjoyed a higher level of anthropomorphic trustworthiness and visual attention; 2) regulatory fit was expanded in parasocial interaction and worked as a prime to activate anthropomorphic trustworthiness for social robots. Theoretical contributions and design implications were also discussed in this study.

Development and evaluation of design guidelines for cognitive ergonomics in human-robot collaborative assembly systems

Industry 4.0 is the concept used to summarize the ongoing fourth industrial revolution, which is profoundly changing the manufacturing systems and business models all over the world. Collaborative robotics is one of the most promising technologies of Industry 4.0. Human-robot interaction and human-robot collaboration will be crucial for enhancing the operator's work conditions and production performance. In this regard, this enabling technology opens new possibilities but also new challenges. There is no doubt that safety is of primary importance when humans and robots interact in industrial settings. Nevertheless, human factors and cognitive ergonomics (i.e. cognitive workload, usability, trust, acceptance, stress, frustration, perceived enjoyment) are crucial, even if they are often underestimated or ignored. Therefore, this work refers to cognitive ergonomics in the design of human-robot collaborative assembly systems. A set of design guidelines has been developed according to the analysis of the scientific literature. Their effectiveness has been evaluated through multiple experiments based on a laboratory case study where different participants interacted with a low-payload collaborative robotic system for the joint assembly of a manufacturing product. The main assumption to be tested is that it is possible to improve the operator's experience and efficiency by manipulating the system features and interaction patterns according to the proposed design guidelines. Results confirmed that participants improved their cognitive response to human-robot interaction as well as the assembly performance with the enhancement of workstation features and interaction conditions by implementing an increasing number of guidelines.

Extended Interviews with Stroke Patients Over a Long-Term Rehabilitation Using Human–Robot or Human–Computer Interactions

Socially assistive robots (SARs) have been proposed to assist post-stroke patients in performing their exercise during their rehabilitation process, with the trust in the robot identified as an important factor in human–robot interaction. In the current study, we aimed to identify and characterize factors that influence post-stroke patients’ trust in a robot-operated and a computer-operated rehabilitation platform during and after a long-term experience with the platform. We conducted 29 interviews with 16 stroke patients who underwent a long-term rehabilitation process, assisted by either a SAR or a computer interface. The intervention lasted 5–7 weeks per patient, for a total of 229 sessions over 18 months. By using a qualitative research method—extended interviews “in the wild” with stroke patients, over a long-term rehabilitation process—our study reveals users’ perspectives regarding factors affecting trust in the SAR or in the computer interface during their rehabilitation process. The results support the assertion that SARs have an added value in the rehabilitative care of stroke patients; It appears that personal characteristics, such as age and gender, have an effect on the users’ acceptance of a non-human operator as a practice assistant. Our findings support the notion that SARs augment rehabilitative therapies beyond a standard computer; Importantly, patients appreciated different aspects of the non-human operator in the two groups: In the SAR group, users preferred its functional performance over its anthropomorphized social skills; In the Computer group, users highlighted its contribution to the training of their memory skills.

Assessing System-Wide Safety Readiness for Successful Human–Robot Collaboration Adoption

Despite their undisputed potential, the uptake of collaborative robots remains below expectations. Collaborative robots (cobots) are used differently from conventional industrial robots. The current safety focus of collaborative workspaces is predominantly on the technological design; additional factors also need to be considered to cope with the emerging risks associated with complex systems. Cobot technologies are characterized by an inherent tradeoff between safety and efficiency. They introduce new, emergent risks to organizations and can create psychosocial impacts on workers. This leads to a confusing body of information and an apparent contradiction about cobot safety. Combined with a lack of safety knowledge, this impedes the introduction of cobots. A multi-step methodology was used, including a literature review and conceptual modeling. This article argues for the need for a system-wide safety awareness readiness assessment in the consideration phase of cobot implementation to alleviate the knowledge deficit and confusion. This work will benefit both researchers and practitioners. In addition, it defends the appropriateness of a maturity grid model for a readiness assessment tool. The building blocks for an easy-to-use and practically applicable tool are proposed, as well as an agenda for the next steps.

How Human-like Behavior of Service Robot Affects Social Distance: A Mediation Model and Cross-Cultural Comparison

Previous studies on the human likeness of service robots have focused mainly on their human-like appearance and used psychological constructs to measure the outcomes of human likeness. Unlike previous studies, this study focused on the human-like behavior of the service robot and used a sociological construct, social distance, to measure the outcome of human likeness. We constructed a conceptual model, with perceived competence and warmth as mediators, based on social-identity theory. The hypotheses were tested through online experiments with 219 participants from China and 180 participants from the US. Similar results emerged for Chinese and American participants in that the high (vs. low) human-like behavior of the service robot caused the participants to have stronger perceptions of competence and warmth, both of which contributed to a smaller social distance between humans and service robots. Perceptions of competence and warmth completely mediated the positive effect of the human-like behavior of the service robot on social distance. Furthermore, Chinese participants showed higher anthropomorphism (perceived human-like behavior) and a stronger perception of warmth and smaller social distance. The perception of competence did not differ across cultures. This study provides suggestions for the human-likeness design of service robots to promote natural interaction between humans and service robots and increase human acceptance of service robots.

Insights into the relationship between usability and willingness to use a robot in the future workplaces: Studying the mediating role of trust and the moderating roles of age and STARA

Background and aim

Human–robot collaboration is the key component of the fourth industrial revolution concept. Workers’ willingness to collaborate with industrial robots is a basic requirement for an efficient and effective interaction. The roles of human-robot trust and technology affinity as mediators in the relationship between robot usability and worker willingness were analyzed in this study. As other critical variables, the mediator roles of Age and STARA were also calculated.

Materials and methods

This study included 400 workers from a car company who interacted with industrial robots in their daily work activities. After examining the questionnaires’ validity and reliability, the main variables were determined to be willingness to use robots and robot usability. AMOS software also considered human-robot trust and worker technology affinity as mediators. The bootstrapping method was used to evaluate indirect relationships. A set of goodness-of-fit indices were presented to determine the adequacy of the goodness of fit between the proposed model and the data.

Results

Based on model fit indices, an overall satisfactory model fit was obtained for the direct/indirect relationship between robot usability and worker willingness to use it (with mediating role of human-robot trust). Workers’ age and fear of Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA) were identified as moderators in the relationship between usability and willingness.

Conclusion

Attention to the robot usability and the role of workers’ trust in robots appears to be required to ensure workers’ willingness to use robots and the success of human-robot collaboration in future workplaces. As the workers age and their fear of robots grows, usability can play a larger role in increasing their willingness to put robots to work.

Towards Next Generation Cleaning Tools: Factors Affecting Cleaning Robot Usage and Proxemic Behaviors Design

Among all healthcare sectors and working processes, the janitorial section is a prominent source of work-related injuries due to its labor-intensive nature and rising need for a hygienic environment, thus requiring extra attention for prevention strategies. Advancement in robotic technology has allowed autonomous cleaning robots to be a viable solution to ease the burden of janitors. To evaluate the application of commercial-grade cleaning robots, a video-based survey was developed and distributed to participants. Results from 117 participants revealed that: 1) participants were less tolerant when their personal space was invaded by humans compared with the cleaning robot, 2) it is better to inform the surrounding humans that the cleaning robot has been sanitized to make them feel safe and comfortable during the pandemic, and 3) to make the interaction more socially acceptable, the cleaning robot should respect human personal space, especially when there is ample space to maneuver. The findings of the present study provide insight into the usage and Proxemic behaviors design of future cleaning robots.

Verbal or Written? The Impact of Apology on the Repair of Trust: Based on Competence- vs. Integrity-Based Trust Violation

This study examined the effect of verbal and written apologies on trust repair based on competence and integrity after a trust violation. Through three experiments, the empirical results showed that the written apology was more effective than verbal ones a restoring trust for integrity-based trust violations. However, the verbal apology was more effective against competency-based trust violations than a written one. Moreover, the results also showed that perceived trustworthiness played a mediating role between trust violation and trust repair, while positive emotions played a moderating role. Finally, this study provided a general discussion, implications, and suggestions for future research.

Working With Robots: Human Resource Development Considerations in Human–Robot Interaction

Advancements in robotic technology have accelerated the adoption of collaborative robots in the workplace. The role of humans is not reduced, but robotic technology requires different high-level responsibilities in human–robot interaction (HRI). Based on a human-centered perspective, this literature review is to explore current knowledge on HRI through the lens of HRD and propose the roles of HRD in this realm. The review identifies HRD considerations that help implement effective HRI in three human-centered domains: human capabilities, collaboration configuration, and attributes related to contact. The eight HRD considerations include employees’ attitudes toward robots, their readiness for robot technology, communication with robots, human–robot team building, leading multiple robots, systemwide collaboration, safety interventions, and ethical issues. Theoretical implications, practical implications, and limitations are discussed. This paper contributes to HRD by introducing potential areas of multidisciplinary collaborations to help organizations implement robotic systems.

Strategies of German Bundesliga and English Premier League clubs for the COVID-19 crisis: the case of international broadcasting fans

During the COVID-19 pandemic that paused sports worldwide, the German Bundesliga League (GBL) and English Premier League (EPL) took two different strategic approaches to agree with their players on returning to play. To become better informed and prepared for future crisis management, this study examines consumer responses to these opposing strategies. We also identify how perceived organizational legitimacy, trustworthiness, reliance, and justifiability have an impact on consumer multimedia consumption of the games. A sample of 503 participants responded to an online questionnaire regarding the contrasting decisions taken by the GBL and the EPL during the global health crisis. SEM with multi-group analysis was conducted to test the research hypotheses. When comparing the two selected sport leagues, the league that reached an agreement with their players experienced higher levels of perceived legitimacy while needing fewer perceptions of trustworthiness, reliance, and justifiability to obtain higher multimedia consumption intention from consumers.

The effect of facial features on facial anthropomorphic trustworthiness in social robots

As the nature of human-robot relationships have become increasingly bound to shift from supervisor-machine to friend-companion, people have exhibited an increasing interest in making social judgments toward such anthropomorphic objects, such as trustworthiness. However, the facial features of social robots and their potential effect on anthropomorphic trustworthiness are seldom analyzed and discussed comprehensively. This study examined whether the trustworthiness perception toward a social robot shared similarity with baby schema features on the human face. It also explored the effects of different combinations of baby schema facial features, especially the positions and sizes of the eyes and mouth, on facial anthropomorphic trustworthiness. A 5-way mixed experiment (N = 270) was conducted accordingly. The results indicated that people would experience a high level of facial anthropomorphic trustworthiness toward robots with baby schema features (i.e., large eyes, with medium vertical and horizontal positions of the eyes and mouth). This paper contributes to the literature on facial anthropomorphic trustworthiness in human-robot interaction and provides suggestions for social robot design.

The Role of Employee Relations in Shaping Job Satisfaction as an Element Promoting Positive Mental Health at Work in the Era of COVID-19

The COVID-19 pandemic is affecting the mental health of employees. Deterioration of the well-being of workers is also caused by changes in the working environment. Remote working can affect both social interactions and job satisfaction. The purpose of the study is to examine what factors influence job satisfaction in the context of remote work caused by a pandemic. The study analyses whether employee relations and interpersonal trust are related to the level of perceived job satisfaction. The investigation started with a literature review and then research hypotheses have been formulated. Based on an empirical study, carried out on a sample of 220 IT employees during the pandemic, an analysis of the mediating role of trust in links between employee relations and perceived job satisfaction was conducted. The current study found that positive employee relations contribute to the level of job satisfaction. Additionally, trust is an important factor that mediates these relationships. Based on the results of the research, it was possible to describe the mechanism of shaping a supportive work environment during a pandemic.

The Marketization of Rural Collective Construction Land in Northeastern China: The Mechanism Exploration

The transfer of rural collective construction land into the market (RCCL marketization) is an important starting point for breaking the urban–rural dual system, realizing the sustainable use of land resources and promoting the integrated development of urban and rural areas in China. This study aims to explore the decision-making of rural households in the marketization of rural collective construction land (RCCL) by constructing a two-stage (cognition-decision) theoretical framework. Based on the household survey data collected from the pilot areas in the three northeastern provinces in China, the structural equation modelling (SEM) has been applied. The main findings are as follows: (1) the four types of exogenous latent variables, including information dissemination, management of collective economic organizations (CEOs), family characteristics, and household head characteristics, are intermediary by household cognition, which then positively affect households’ behavior and decision-making. (2) among the factors affecting household cognition, the management of CEOs exhibits the most significant impact, followed by information dissemination, family characteristics, and household head characteristics. (3) the measurable variables, including participation rights, whether there are collective operating assets, education level, and whether members have social insurance, have significant effects on the four exogenous latent variables. (4) the understanding of income distribution policy has the greatest positive impact on household cognition, while risk perception has the opposite effect, indicating an obvious “risk aversion” tendency for rural households. The findings imply that the government should improve the existing RCCL market entry system from the aspects of strengthening collective economic organization construction, land value-added income sharing mechanism, and clarifying rural land property rights, so as to reduce farmers’ decision-making risks and enhance value perception. Overall, the research presented here contributes to investigating the theoretical mechanism of household decision-making and providing empirical evidence on how to improve the marketization of rural collective construction land in China.