Search results for "TASK"
showing 10 items of 1658 documents
Corporate User Representatives and the Dialectics of Enterprise Systems: A Quest for Social Actors with Political Skill
2008
Enterprise system implementations may be viewed as dialectics of adaptation. To reach a synthesis, a corporate user representative role is important. This paper addresses the question of who would be suitable for the role as a corporate user representative, i.e. what is required to fill the role. Drawing on an in-depth interpretive study from the oil industry, this paper contributes by augmenting our view of the corporate user representative as a multidimensional social actor. The case is from an innovative integration of ECM with collaboration technology. With a state-of-the-art combination of technologies, the task of representing 26.000 users proved to be a challenge. Based on longitudin…
Bee reverse-learning behavior and intra-colony differences: Simulations based on behavioral experiments reveal benefits of diversity
2014
Abstract Foraging bees use color cues to help identify rewarding from unrewarding flowers. As environmental conditions change, bees may require behavioral flexibility to reverse their learnt preferences. Learning to discriminate perceptually similar colors takes bees a long time, and thus potentially poses a difficult task to reverse-learn. We trained free-flying honeybees to learn a fine color discrimination task that could only be resolved (with about 70% accuracy) following extended differential conditioning. The bees were then tested for their ability to reverse-learn this visual problem. Subsequent analyses potentially identified individual behavioral differences that could be broadly …
Lie Detection: fMRI
2019
Objective detection of deception was extensively studied, starting from polygraph to more modern techniques, the functional MR (fMRI), and they are based on neural (sympathetic) activation that is evoked in stressful conditions, such as lying. The role of fMRI in neurophysiology has been extensively developed and studied, and its principles lie in the correlation between the brain demand of energy during determined task and its supply. Although being extensively studied, its role for judiciary purpose presents many shortcomings.
Examining a planning discourse
2004
The aim of Participatory Design (PD) is to involve the users in the design. Even though the research has shown the success of PD projects in empowering users, little has been said about PD practices within accountable organizations. To transfer PD practices to these business organizations, we need to understand design as an institutional discourse. This paper discusses a sequence of organizational planning interaction and demonstrates how a manager represents the issues within a planning frame and why other participants are unable to act within this frame. The users and even the designer were marginalized from the planning activity. It is postulated that balancing the existing institutional…
Soten "neljäs tuotantokausi"
2020
A central political goal of Juha Sipilä’s government was to implement comprehensive reform concerning health and social services. In this article we study how leaders of change, whose task it was to prepare and implement the reform together with regional institutions, experienced the political process aimed to prepare and implement the reform. Key theoretical concepts discussed herein are different models of democracy, dialogue and trust. Our empirical data consists of 17 interviews with the leaders of change. The key focus is on interaction and trust at the interface of politics and the public authorities involved in the implementation process. According to our results political guidance a…
Preoperative Planning for Guidewires Employing Shape-Regularized Segmentation and Optimized Trajectories
2019
Upcoming robotic interventions for endovascular procedures can significantly reduce the high radiation exposure currently endured by surgeons. Robotically driven guidewires replace manual insertion and leave the surgeon the task of planning optimal trajectories based on segmentation of associated risk structures. However, such a pipeline brings new challenges. While Deep learning based segmentation such as U-Net can achieve outstanding Dice scores, it fails to provide suitable results for trajectory planning in annotation scarce environments. We propose a preoperative pipeline featuring a shape regularized U-Net that extracts coherent anatomies from pixelwise predictions. It uses Rapidly-ex…
Does the mastery of center-embedded linguistic structures distinguish humans from nonhuman primates?
2005
In a recentScience article, Fitch and Hauser (2004; hereafter, F&H) claimed to have demonstrated that cotton-top tamarins fail to learn an artificial language produced by a phrase structure grammar (Chomsky, 1957) generating center-embedded sentences, whereas adult humans easily learn such a language. We report an experiment replicating the results of F&H in humans but also showing that subjects learned the language without exploiting in any way the center-embedded structure. When the procedure was modified to make the processing of this structure mandatory, the subjects no longer showed evidence of learning. We propose a simple interpretation for the difference in performance observed in F…
On the influence of context-based complexity on information search patterns: An individual perspective
2014
Although context-based complexity measured as the similarity and conflict across alternatives is dependent on individual preference structures, existing studies investigating the influence of context-based complexity on information search patterns have largely ignored that context-based complexity is user- and preference-dependent. Addressing this research gap, this article elicits the individual preferences of decision makers by using the pairwise-comparison-based preference measurement (PCPM) technique and records individuals' search patterns using eye tracking. Our results show that an increased context-based complexity leads to an increase in information acquisition and the use of a mor…
Stochastic model predicts evolving preferences in the Iowa gambling task
2014
Learning under uncertainty is a common task that people face in their daily life. This process relies on the cognitive ability to adjust behavior to environmental demands. Although the biological underpinnings of those cognitive processes have been extensively studied, there has been little work in formal models seeking to capture the fundamental dynamic of learning under uncertainty. In the present work, we aimed to understand the basic cognitive mechanisms of outcome processing involved in decisions under uncertainty and to evaluate the relevance of previous experiences in enhancing learning processes within such uncertain context. We propose a formal model that emulates the behavior of p…
Selection Task and Computer-Based Feedback to Improve the Searching Process in Task-Oriented Reading Situations
2015
Adaptive feedback has showed to be effective to enhance strategic reading behaviors and performance in task-oriented reading situations, but it is difficult to be implemented in classroom environments. Computer-based systems allow overcoming these challenges. We conducted an experiment in which secondary-school students read two texts, answered comprehension questions and selected relevant text information while receiving automatic feedback about selection accuracy and performance. Two experimental conditions were designed to assess the effects of feedback and selection attempts. Then, students perform a transfer task without any of these elements. We found that one-attempt and two-attempt …