Voluntary lane-change policy synthesis with reactive control improvisation

In this paper, we propose reactive control improvisation to synthesize voluntary lane-change policy that meets human preferences under given traffic environments. We first train Markov models to describe traffic patterns and the motion of vehicles responding to such patterns using traffic data. The trained parameters are calibrated using control improvisation to ensure the traffic scenario assumptions are satisfied. Based on the traffic pattern, vehicle response models, and Bayesian switching rules, the lane-change environment for an automated vehicle is modeled as a Markov decision process. Based on human lane-change behaviors, we train a voluntary lane-change policy using explicit-duration Markov decision process. Parameters in the lane-change policy are calibrated through reactive control improvisation to allow an automated car to pursue faster speed while maintaining desired frequency of lane-change maneuvers in various traffic environments

Voluntary lane-change policy synthesis with reactive control improvisation

In this paper, we propose reactive control improvisation to synthesize voluntary lane-change policy that meets human preferences under given traffic environments. We first train Markov models to describe traffic patterns and the motion of vehicles responding to such patterns using traffic data. The trained parameters are calibrated using control improvisation to ensure the traffic scenario assumptions are satisfied. Based on the traffic pattern, vehicle response models, and Bayesian switching rules, the lane-change environment for an automated vehicle is modeled as a Markov decision process. Based on human lane-change behaviors, we train a voluntary lane-change policy using explicit-duration Markov decision process. Parameters in the lane-change policy are calibrated through reactive control improvisation to allow an automated car to pursue faster speed while maintaining desired frequency of lane-change maneuvers in various traffic environments

Risk-aware motion planning for automated vehicle among human-driven cars

We consider the maneuver planning problem for automated vehicles when they share the road with human-driven cars and interact with each other using a finite set of maneuvers. Each maneuver is calculated considering input constraints, actuator disturbances and sensor noise, so that we can use a maneuver automaton to perform higher-level planning that is robust against lower-level effects. In order to model the behavior of human-driven cars in response to the intent of the automated vehicle, we use control improvisation to build a probabilistic model. To accommodate for potential mismatches between the learned human model and human driving behaviors, we use a conditional value-at-risk objective function to obtain the optimal policy for the automated vehicle. We demonstrate through simulations that our motion planning framework consisting of an interactive human driving model and risk-aware motion planning strategy makes it possible to adapt to different traffic conditions and confidence levels

Risk-aware motion planning for automated vehicle among human-driven cars

We consider the maneuver planning problem for automated vehicles when they share the road with human-driven cars and interact with each other using a finite set of maneuvers. Each maneuver is calculated considering input constraints, actuator disturbances and sensor noise, so that we can use a maneuver automaton to perform higher-level planning that is robust against lower-level effects. In order to model the behavior of human-driven cars in response to the intent of the automated vehicle, we use control improvisation to build a probabilistic model. To accommodate for potential mismatches between the learned human model and human driving behaviors, we use a conditional value-at-risk objective function to obtain the optimal policy for the automated vehicle. We demonstrate through simulations that our motion planning framework consisting of an interactive human driving model and risk-aware motion planning strategy makes it possible to adapt to different traffic conditions and confidence levels

Understanding informal volunteer behavior for fast and resilient disaster recovery: An application of entrepreneurial effectuation theory

Purpose. Examine and understand how an informal volunteer’s goals and actions develop from the moment they first learn about a disaster. Design/methodology/approach. We examine informal volunteerism (the activities of people who work outside of formal emergency and disaster management arrangements) through the theoretical lens of entrepreneurial effectuation to explain informal volunteer behavior and cognition and gain insight on how they develop their disaster relief ventures. Findings. We find that informal volunteers follow an effectual logic, relying on available means to take advantage of opportunities as they are recognized or created. Application of effectuation vs causation processes depended on whether the informal volunteers were categorized as traditional, emergent or extended volunteers. Practical implications. Informal volunteers’ disregard for the Affordable Loss Principle task governments and disaster relief organizations with the important challenge of managing and assuring the safety and well-being of informal volunteers. Their entrepreneurial behavior also invites the establishment of formal processes to counsel and guide informal volunteers, helping them fill out the necessary paperwork and funding applications to develop their efforts. Social implications. Through their experimentation and flexibility, informal volunteers accelerate disaster recovery, recognizing opportunities, working around bureaucracy and other roadblocks that hinder the efforts of established organizations. They also demonstrate entrepreneurial behavior that helps revitalize and jumpstart the local economy, making for stronger and more resilient communities Originality/value. This study borrows from Effectuation Theory from the entrepreneurship field in order to bring a much needed theoretical lens to the topic and greatly assists informal volunteerism research, moving from past efforts that simply define and categorize the concept

A systematic review of the subjective wellbeing outcomes of engaging with visual arts for adults (“working-age”, 15-64 years) with diagnosed mental health conditions

The importance of the visual arts in contributing to the wellbeing of adults with mental health conditions has been little documented beyond some insightful and influential interventions and exploratory studies. Initiatives such as Arts on Prescription projects have, in the UK provided examples of the positive effects that engagement in artistic and creative activity can have, and some of these have been documented in small-scale studies of interventions. Most of the evidence has been perceived as positive but of limited scale. In this context, this review was carried out to examine in a more focused way the ‘subjective wellbeing’ (SWB) outcomes of engagement with the visual arts for adults with a background history of mental health conditions. SWB embraces both the positive and negative feelings that arise in individuals based on their view of the world, how they think about themselves and others, and what they do in the interactions and practices of everyday life. Adult subjects in the studies included in this review were of ‘working-age’ (15-64 years). The focus of the review and the precise research question were agreed at inception sessions of the research team, and in collaborative engagement with stakeholders in the areas of policy, service-delivery, project and evaluation commissioning, and research and scholarship in the spheres of the visual arts and mental health. Published studies from the past 10 years were studied for the review, and their findings synthesised and integrated into an evaluation of the state of knowledge in the field, in terms of the specifics of the research questions. We found that there is limited high-quality evidence, though case studies from the UK have provided important and consistent findings, corroborated by grey literature that has reported on interventions and projects. The review includes published findings based on data on/from 163 participants across four countries – Australia, Sweden, the UK, and the USA. Overall, female respondents outnumbered male respondents. A wide variety of wellbeing measures were used in some quantitative, statistical studies. In-depth interviews dominated the qualitative studies, giving voice to the experiences of individual subjects. The visual arts practices that featured in the studies included forms of painting or drawing, art appreciation with selected art forms, artmaking culminating in an exhibition, and more general creative and craft activities that included visual artefacts such as ceramics or sculpture. Evidence we include from recent unpublished reports (grey literature) was produced by or for visual arts organisations since 2014. Participants in the evaluations were both male and female and were engaged in UK-based arts interventions, many via community arts or ‘Arts on Prescription’ types of intervention. Overall, the evidence available in this review has shown that engagement in the visual arts for adults with mental health conditions can reduce reported levels of depression and anxiety; increase self-respect, self-worth and self-esteem; encourage and stimulate re-engagement with the wider, everyday social world; and support in participants a potential renegotiation of identity through practice-based forms of making or doing. The most effective ‘working ways to wellbeing’ are also confirmed in processes of implementation that ensure provision of secure safe-space and havens for interventions; that recognise the value of non-stigmatising settings; and that support and sustain collaborative facilitation of programmes and sessions. 4 Some negative dimensions of engagement with the visual arts were also identified, including stress and pressure felt to complete activities or commit to artmaking, and the very real fear that the end of an intervention would mean the return to a world of anxiety, decreasing confidence and social isolation. The review shows that for adults starting visual arts activities or programmes, the subjective wellbeing outcomes are, for the majority of participants, positive. This applies to men and women alike across the studies. The most convincing evidence has emerged from focused qualitative research designs, and makes clear that the most effective work in the field continues to lack the necessary resources and infrastructure that would ensure sustainable practices and interventions. Overall, there is some evidence of benefit in a weak field that could be strengthened by fuller monitoring of cohorts to evaluate the long-term effects of participants’ engagement with the visual arts

Participation\u27s Effect on Organizational Readiness for Change: An Empirical Study

Organizational change management is a principal issue in virtually every organization. This cross sectional correlation study examined an array of variables (i.e., process, personality, and context -specific) that influence organizational readiness for change. Participation (process variable) was related to higher mean scores in each of the four distinct readiness for change scales and explained a significant amount of incremental variance in appropriateness, valence, and efficacy

The information systems and technology innovation process: a study using an agent-based approach

Mestrado em Gestão de Sistemas de InformaçãoUm modelo abstracto baseado em agentes é utilizado para estudar a inovação em Sistemas de Informação e em Tecnologia de Informação, no plano organizacional, utilizando uma aproximação sócio-cognitiva. A conclusão do estudo indica que o poder dos profissionais conhecedores de tecnologias de informação na decisão de adopção de uma determinada inovação varia com o nível de concordância de ideias entre eles e os decisores, ao mesmo tempo que depende da taxa de depreciação das transacções, conduzindo a uma forte flutuação de poder quando o ambiente é instável.An abstract Agent Based Model is used to study Information Systems and Information Technology innovation on an organizational realm, using a socio-cognitive approach. Conclusion is drawn that the power of the knowledge workers in the decision to adopt an IS/IT innovation within an organization varies with the matching level of ideas between them and the top management, while being dependant of the transactions’ depreciation rate, leading to a strong fluctuation of power when the environment is unstable