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Cultural differences in processing online customer reviews: holistic versus analytic thinkers
While the majority of studies exploring online customer reviews in the light of intercultural comparisons draw on the theoretical framework of Hofstede’s cultural dimensions, which faced justifiable criticism, we make use of Socio-Cognitive Systems Theory to illustrate how consumers from different cultures are cognitively processing information. By employing this alternative theory, it is shown that the (heretofore established) Elaboration Likelihood Model for examining online customer reviews does not serve as an applicable framework in intercultural contexts. Reviewing extant literature, we uncover incidents questioning the generalizability of previous studies on review credibility conducted among East Asians. Building upon a research model established at a national level, we interviewed Western (German; n=552) and East Asian (Chinese; n=585) consumers to analyze the intercultural appropriateness of the model. The results empirically validate the assumptions of the Socio-Cognitive Systems Theory, and thus, finds Chinese to perceive review credibility holistically, whereas Germans tend to categorize its antecedents for evaluating them separately.
Journal Article
Brain and cognitive intelligence : control in robotics
\"The aim of the book is to introduce the state-of-the-art technologies in the field of brain and cognitive intelligence used in robotics control, particularly on studying how brain learns and controls complex motor skills and apply such to robots. This will be the first book that systematically and thoroughly deals with above topics. Advances made in the past decades will be well described in this book. Interesting topics such as human-robot interactions, neurorobotics, Biomechanics in robotic control, robot vision, force control, and control and coordination of humanoid robots are covered\"-- Provided by publisher.
Book
c2AIDER: cognitive cloud exoskeleton system and its applications
Lower extremity exoskeleton systems have been widely applied in walking assistance, rehabilitation, and augmentation‐related applications merely through human‐exoskeleton movement collaboration, which cannot analyse cognitive load and pressure of pilots. Cognitive exoskeleton systems can reinforce cognitive cooperation of the human‐exoskeleton systems through perception and assessment. Cognitive cloud exoskeleton systems can enhance the ability of the continuous learning and transfer learning of the exoskeleton systems through cloud brain platform. This paper presents a cognitive cloud exoskeleton system Cognitive Cloud AssItive DEvice for paralysed patient (c2AIDER). The main idea is that the cooperation between the c2AIDER system and pilots is more intelligent and natural through cloud brain platform, which can achieve high‐performance computing thus providing better walking assistance for pilots.
Journal Article
Modelling operator control work across traffic management domains: implications for interaction design
Traffic management in aviation, shipping, and rail transport shows similarities and dissimilarities in the work process. For example, they share the temporal aspect, but different levels of urgency in the control work set different requirements on monitoring, decisions, and actions. However, few studies have been presented that model and compare the different domains in terms of temporal decision-making. The Joint Control Framework (JCF) is an approach to analyse and temporally model operators’ control processes from a cognitive systems engineering perspective. In this study, we have used JCF to map, and compare, cognitive joints, such as perceptions, decisions, and actions, in temporally challenging control situations in air traffic control, maritime vessel traffic service, and train traffic management. Data was collected collaboratively with traffic operators, focusing on (1) identifying challenging traffic situations and (2) jointly modelling the temporal decision-making patterns of these situations using simplified JCF. Post-analysis was done by breaking down the results into different processes and comparing domains to ascertain how operators maintain control. An intermediate level of activity—between general monitoring and work with specific vehicles—was identified: processes-in-focus. A shared problem arises in the shift between general monitoring and the processes-in-focus. All processes-in-focus comprise cognitive joint cycles of perceptions, decisions, and actions. However, depending on the framing of processes-in-focus, the patterns of joints, such as temporal extension and complexity, differ. In the remainder of the article, implications for the interaction design, in particular the potential for human–AI/automation teaming with higher levels of automation and cognitive autonomy, are discussed.
Journal Article
Robotics, Vision and Control : Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition
Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB® Toolboxes, one for robotics and one for vision. They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. This book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. Using the latest versions of the Toolboxes the author shows how complex problems can be decomposed and solved using just a few simple lines of code. The topics covered are guided by real problems observed by the author over many years as a practitioner of both robotics and computer vision. It is written in an accessible but informative style, easy to read and absorb, and includes over 1000 MATLAB and Simulink® examples and over 400 figures. The book is a real walk through the fundamentals of mobile robots, arm robots. then camera models, image processing, feature extraction and multi-view geometry and finally bringing it all together with an extensive discussion of visual servo systems. This second edition is completely revised, updated and extended with coverage of Lie groups, matrix exponentials and twists; inertial navigation; differential drive robots; lattice planners; pose-graph SLAM and map making; restructured material on arm-robot kinematics and dynamics; series-elastic actuators and operational-space control; Lab color spaces; light field cameras; structured light, bundle adjustment and visual odometry; and photometric visual servoing. \"An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished!\" OUSSAMA KHATIB, Stanford.
Book
Hollnagel’s test: being ‘in control’ of highly interdependent multi-layered networked systems
Advances in technologies for networking, sensing, and automation have resulted in multi-layered networked systems that extend information gathering, interactions across roles, and the potential for control over wider ranges. But these systems also represent a scale shift in complexity in terms of the density of interdependencies across processes and activities. In the new systems, coupling has run amok introducing new challenges about how to control processes when they are part of such highly interdependent webs. Based on the joint cognitive systems perspective, Hollnagel examines, or tests, technology changes by asking two key questions: what does it mean to be in control and how can control be amplified? Hollnagel has shown that the answers to these questions are not inherent in technology itself but rather point to emergent system properties that can and should be supported to produce success and avoid failures. This paper applies
Hollnagel’s test
to the reverberations of technology change that are producing multi-layered networked systems. The paper shows how being ‘in control’ of multi-layered networked systems requires the ability to navigate interdependencies and shows how ‘amplifying control’ then consists of tools that help reveal/track relevant interdependencies and help anticipate how projected actions will propagate (resonate) across interdependencies relative to goals. The end result is that a shift is underway from supervisory control to polycentric control architectures.
Journal Article
Advantage of prediction and mental imagery for goal‐directed behaviour in agents and robots
Mental imagery and planning are important aspects of cognitive behaviour. Being able to predict outcomes through mental simulation can increase environmental fitness and reduce uncertainty. Such predictions reduce surprise and fit with thermodynamically driven theories of brain function by attempting to reduce entropy. In the present work, the authors tested these ideas in a predator–prey scenario where agents with a limited energy budget had to maximise food intake, while avoiding a predator. Forward planning agents, with the ability to mentalise, to Actor Critic agents that do not plan beyond the current state were also compared. The authors show that the ability to mentalise has distinct advantages when in noisy, uncertain stimuli. These advantages are even more prevalent when tested in the real world on physical robots. The authors’ results highlight the importance of taking into consideration mental imagery and embodiment when constructing artificial cognitive systems.
Journal Article
Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia
Schizophrenia has been primarily conceptualized as a disorder of high-order cognitive functions with deficits in executive brain regions. Yet due to the increasing reports of early sensory processing deficit, recent models focus more on the developmental effects of impaired sensory process on high-order functions. The present study examined whether this pathological interaction relates to an overarching system-level imbalance, specifically a disruption in macroscale hierarchy affecting integration and segregation of unimodal and transmodal networks.
We applied a novel combination of connectome gradient and stepwise connectivity analysis to resting-state fMRI to characterize the sensorimotor-to-transmodal cortical hierarchy organization (96 patients
122 controls).
We demonstrated compression of the cortical hierarchy organization in schizophrenia, with a prominent compression from the sensorimotor region and a less prominent compression from the frontal-parietal region, resulting in a diminished separation between sensory and fronto-parietal cognitive systems. Further analyses suggested reduced differentiation related to atypical functional connectome transition from unimodal to transmodal brain areas. Specifically, we found hypo-connectivity within unimodal regions and hyper-connectivity between unimodal regions and fronto-parietal and ventral attention regions along the classical sensation-to-cognition continuum (voxel-level corrected,
< 0.05).
The compression of cortical hierarchy organization represents a novel and integrative system-level substrate underlying the pathological interaction of early sensory and cognitive function in schizophrenia. This abnormal cortical hierarchy organization suggests cascading impairments from the disruption of the somatosensory-motor system and inefficient integration of bottom-up sensory information with attentional demands and executive control processes partially account for high-level cognitive deficits characteristic of schizophrenia.
Journal Article