Developmental tasks as a framework to study personality development in adulthood and old age

Research consistently shows that personality development is a lifelong phenomenon, with mean-level and rank-order changes occurring in all life phases. What happens during specific life phases that can explain these developmental patterns? In the present paper, we review literature linking personality development in different phases of adulthood to developmental tasks associated with these phases. Building on previous work, we describe several categories of developmental tasks that are present in all phases of adulthood. However, the specific tasks within these categories change across adulthood from establishing new social roles in early adulthood to maintaining them in middle adulthood and preventing losses in old age. This trajectory is reflected in mean-level changes in personality, which indicates development towards greater maturity (increases in social dominance, conscientiousness, and emotional stability) in early and middle adulthood, but less so at the end of life. Importantly, developmental tasks are not only associated with mean-level changes, but the way in which people deal with these tasks is also related to rank-order changes in personality. We provide an outlook for future research on how the influence of historical time on the normativeness of developmental tasks might be reflected in personality development.

Illegitimate Tasks and Sleep Quality: An Ambulatory Study

The current study investigated the short-term effect of illegitimate tasks on sleep quality, assessed by actigraphy. Seventy-six employees of different service jobs participated in a 2-week data collection. Data were analysed by way of multilevel analyses. As predicted, illegitimate tasks were positively related to sleep fragmentation and sleep-onset latency, but not to sleep efficiency and not to sleep duration. Time pressure, social stressors at work and at home, and the value of the dependent variable from the previous day were controlled. Results confirm the predictive power of illegitimate tasks for a variable that can be considered crucial in the development of long-term outcomes of daily experiences.

Illegitimate tasks, feelings of resentment, and recovery – longitudinal mediation model

Illegitimate tasks are a relatively new stressor concept, referring to tasks that an employee cannot appropriately expect to carry out. This study tested the hypothesis that illegitimate tasks predicted recovery, mediated by feelings of resentment. The hypothesis was confirmed in a longitudinal study with three waves of measurement.

Decomposing speed of information processing in elementary cognitive tasks

Many studies obtained reliable individual differences in speed of information processing (SIP) as measured by elementary cognitive tasks (ECTs). ECTs usually employ response times (RT) as measure of SIP, but different ECTs target different cognitive processes (e.g., simple or choice reaction, inhibition). Here we used modified versions of the Hick and the Eriksen Flanker task to examine whether these tasks assess dissociable or common aspects of SIP. In both tasks, task complexity was systematically varied across three levels. RT data were collected from 135 participants. Applying fixed-links modeling, RT variance increasing with task complexity was separated from RT variance unchanging across conditions. For each task, these aspects of variance were represented by two independent latent variables. The two latent variables representing RT variance not varying with complexity of the two tasks were virtually identical (r = .83). The latent variables representing increasing complexity in the two tasks were also highly correlated (r = .72) but clearly dissociable. Thus, RT measures contain both task-unspecific, person-related aspects of SIP as well as task-specific aspects indicating the cognitive processes manipulated with the respective task. Separating these aspects of SIP facilitates the interpretation of individual differences in RT.

Cerebellar Pathology Does Not Impair Performance on Identification or Categorization Tasks

In comparison to the basal ganglia, prefrontal cortex, and medial temporal lobes, the cerebellum has been absent from recent research on the neural substrates of categorization and identification, two prominent tasks in the learning and memory literature. To investigate the contribution of the cerebellum to these tasks, we tested patients with cerebellar pathology (seven with bilateral degeneration, six with unilateral lesions, and two with midline damage) on rule-based and information-integration categorization tasks and an identification task. In rule-based tasks, it is assumed that participants learn the categories through an explicit reasoning process. In information-integration tasks, optimal performance requires the integration of information from multiple stimulus dimensions, and participants are typically unaware of the decision strategy. The identification task, in contrast, required participants to learn arbitrary, color-word associations. The cerebellar patients performed similar to matched controls on all three tasks and performance did not vary with the extent of cerebellar pathology. Although the interpretation of these null results requires caution, these data contribute to the current debate on cerebellar contributions to cognition by providing boundary conditions on understanding the neural substrates of categorization and identification, and help define the functional domain of the cerebellum in learning and memory.

Theoretical frames for the new tasks in career guidance and counseling

Personal and career development interventions aim to help people find answers to personal and career development issues that stem from the societal context in which they live. Societal definitions of these career issues have a double consequence. On the one hand, these issues differ from one culture to another; and, on the other, they evolve along with the contexts in which they are expressed. Implementation of rigorous career development interventions requires, first, a scientific reconstruction of these societal issues and, second, a clear definition of these interventions' goals and ends. Our current view of the societal issues relating to personal and career development interventions may be phrased thus--"How can we help individuals direct their lives, in the (human) society where they interact?" It may be turned into the following scientific question: "What are the factors and processes of life-long self-construction?" An articulation of three major propositions (sociological, cognitive and dynamic) seems to be needed to answer this question. Such a theoretical frame does not allow for a definition of personal and career development interventions ends. In the world of today, the adoption by everyone of a personal ethic of responsibility towards all life on Earth (H. Jonas) could well be a fundamental end to these interventions.

Theoretical frames for the new tasks in career guidance and counseling

Personal and career development interventions aim to help people find answers to personal and career development issues that stem from the societal context in which they live. Societal definitions of these career issues have a double consequence. On the one hand, these issues differ from one culture to another; and, on the other, they evolve along with the contexts in which they are expressed. Implementation of rigorous career development interventions requires, first, a scientific reconstruction of these societal issues and, second, a clear definition of these interventions' goals and ends. Our current view of the societal issues relating to personal and career development interventions may be phrased thus--"How can we help individuals direct their lives, in the (human) society where they interact?" It may be turned into the following scientific question: "What are the factors and processes of life-long self-construction?" An articulation of three major propositions (sociological, cognitive and dynamic) seems to be needed to answer this question. Such a theoretical frame does not allow for a definition of personal and career development interventions ends. In the world of today, the adoption by everyone of a personal ethic of responsibility towards all life on Earth (H. Jonas) could well be a fundamental end to these interventions.

Theoretical frames for the new tasks in career guidance and counseling

Personal and career development interventions aim to help people find answers to personal and career development issues that stem from the societal context in which they live. Societal definitions of these career issues have a double consequence. On the one hand, these issues differ from one culture to another; and, on the other, they evolve along with the contexts in which they are expressed. Implementation of rigorous career development interventions requires, first, a scientific reconstruction of these societal issues and, second, a clear definition of these interventions' goals and ends. Our current view of the societal issues relating to personal and career development interventions may be phrased thus--"How can we help individuals direct their lives, in the (human) society where they interact?" It may be turned into the following scientific question: "What are the factors and processes of life-long self-construction?" An articulation of three major propositions (sociological, cognitive and dynamic) seems to be needed to answer this question. Such a theoretical frame does not allow for a definition of personal and career development interventions ends. In the world of today, the adoption by everyone of a personal ethic of responsibility towards all life on Earth (H. Jonas) could well be a fundamental end to these interventions.

2D-Tasks for Cognitive Rehabilitation

Neuropsychological Rehabilitation is a complex clinic process which tries to restore or compensate cognitive and behavioral disorders in people suffering from a central nervous system injury. Information and Communication Technologies (ICTs) in Biomedical Engineering play an essential role in this field, allowing improvement and expansion of present rehabilitation programs. This paper presents a set of cognitive rehabilitation 2D-Tasks for patients with Acquired Brain Injury (ABI). These tasks allow a high degree of personalization and individualization in therapies, based on the opportunities offered by new technologies.

Response threshold models, stochastic learning automata and ant colony optimization-based decentralized self-coordination algorithms for heterogeneous multi-tasks distribution in multi-robot systems

In recent decades, there has been an increasing interest in systems comprised of several autonomous mobile robots, and as a result, there has been a substantial amount of development in the eld of Articial Intelligence, especially in Robotics. There are several studies in the literature by some researchers from the scientic community that focus on the creation of intelligent machines and devices capable to imitate the functions and movements of living beings. Multi-Robot Systems (MRS) can often deal with tasks that are dicult, if not impossible, to be accomplished by a single robot. In the context of MRS, one of the main challenges is the need to control, coordinate and synchronize the operation of multiple robots to perform a specic task. This requires the development of new strategies and methods which allow us to obtain the desired system behavior in a formal and concise way. This PhD thesis aims to study the coordination of multi-robot systems, in particular, addresses the problem of the distribution of heterogeneous multi-tasks. The main interest in these systems is to understand how from simple rules inspired by the division of labor in social insects, a group of robots can perform tasks in an organized and coordinated way. We are mainly interested on truly distributed or decentralized solutions in which the robots themselves, autonomously and in an individual manner, select a particular task so that all tasks are optimally distributed. In general, to perform the multi-tasks distribution among a team of robots, they have to synchronize their actions and exchange information. Under this approach we can speak of multi-tasks selection instead of multi-tasks assignment, which means, that the agents or robots select the tasks instead of being assigned a task by a central controller. The key element in these algorithms is the estimation ix of the stimuli and the adaptive update of the thresholds. This means that each robot performs this estimate locally depending on the load or the number of pending tasks to be performed. In addition, it is very interesting the evaluation of the results in function in each approach, comparing the results obtained by the introducing noise in the number of pending loads, with the purpose of simulate the robot's error in estimating the real number of pending tasks. The main contribution of this thesis can be found in the approach based on self-organization and division of labor in social insects. An experimental scenario for the coordination problem among multiple robots, the robustness of the approaches and the generation of dynamic tasks have been presented and discussed. The particular issues studied are: Threshold models: It presents the experiments conducted to test the response threshold model with the objective to analyze the system performance index, for the problem of the distribution of heterogeneous multitasks in multi-robot systems; also has been introduced additive noise in the number of pending loads and has been generated dynamic tasks over time. Learning automata methods: It describes the experiments to test the learning automata-based probabilistic algorithms. The approach was tested to evaluate the system performance index with additive noise and with dynamic tasks generation for the same problem of the distribution of heterogeneous multi-tasks in multi-robot systems. Ant colony optimization: The goal of the experiments presented is to test the ant colony optimization-based deterministic algorithms, to achieve the distribution of heterogeneous multi-tasks in multi-robot systems. In the experiments performed, the system performance index is evaluated by introducing additive noise and dynamic tasks generation over time.

System Integration in a UAS design. An example of undergraduate student's tasks.

Systems integration is the origin of most major difficulties found in the engineering design of aeronautical vehicles. The whole design team must assure that each subsystem accomplishes its particular goals and that, together with the rest of the systems, they all meet the general aircraft requirements.Design and building of UAS is a field of actuation to which leading Universities, research Centers and Aeronautical designers have dedicated a lot of effort. In recent years, a team of students, lecturers and professors at the Escuela Universitaria de Ingeniería Técnica Aeronáutica (EUITA) have been working on the design and building of a UAS for civil observation. The design of multi-mission Unmanned Aerial Vehicles (UAVs) has seen a rapid progress in the last years. A wide variety of designs and applications, some of them really ingenious, have been proposed. The project, which has been going on as a teamwork experience for the last ten years, consists of the design and building of a UAV, and its peculiarity is that it has been carried out entirely by undergraduate students, as part of their Final Research Project. The students face a challenge that includes all the features and stages of an authentic engineering project. We present the current moment of evolution in the process, together with a description of the main difficulties the project has undergone, as a global experience in engineering design and development.

Decentralized multi-tasks distribution in heterogeneous robot teams by means of ant colony optimization and learning automata

This paper focuses on the general problem of coordinating multiple robots. More specifically, it addresses the self-election of heterogeneous specialized tasks by autonomous robots. In this paper we focus on a specifically distributed or decentralized approach as we are particularly interested on decentralized solution where the robots themselves autonomously and in an individual manner, are responsible of selecting a particular task so that all the existing tasks are optimally distributed and executed. In this regard, we have established an experimental scenario to solve the corresponding multi-tasks distribution problem and we propose a solution using two different approaches by applying Ant Colony Optimization-based deterministic algorithms as well as Learning Automata-based probabilistic algorithms. We have evaluated the robustness of the algorithm, perturbing the number of pending loads to simulate the robot’s error in estimating the real number of pending tasks and also the dynamic generation of loads through time. The paper ends with a critical discussion of experimental results.