A model of human event detection in multiple process monitoring situations

It is proposed that human decision making in many multi-task situations might be modeled in terms of the manner in which the human detects events related to his tasks and the manner in which he allocates his attention among his tasks once he feels events have occurred. A model of human event detection performance in such a situation is presented. An assumption of the model is that, in attempting to detect events, the human generates the probability that events have occurred. Discriminant analysis is used to model the human's generation of these probabilities. An experimental study of human event detection performance in a multiple process monitoring situation is described and the application of the event detection model to this situation is addressed. The experimental study employed a situation in which subjects simulataneously monitored several dynamic processes for the occurrence of events and made yes/no decisions on the presence of events in each process. Input to the event detection model of the information displayed to the experimental subjects allows comparison of the model's performance with the performance of the subjects

Towards a Theory of Software Development Expertise

Software development includes diverse tasks such as implementing new features, analyzing requirements, and fixing bugs. Being an expert in those tasks requires a certain set of skills, knowledge, and experience. Several studies investigated individual aspects of software development expertise, but what is missing is a comprehensive theory. We present a first conceptual theory of software development expertise that is grounded in data from a mixed-methods survey with 335 software developers and in literature on expertise and expert performance. Our theory currently focuses on programming, but already provides valuable insights for researchers, developers, and employers. The theory describes important properties of software development expertise and which factors foster or hinder its formation, including how developers' performance may decline over time. Moreover, our quantitative results show that developers' expertise self-assessments are context-dependent and that experience is not necessarily related to expertise.Comment: 14 pages, 5 figures, 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018), ACM, 201

An investigation of the visual sampling behaviour of human observers

Visual sampling behavior of human observers for aerospace vehicle design application

Research on display scanning, sampling, and reconstruction using separate main and secondary tracking tasks

Dynamic model for effects of random scanning and sampling on human operator tracking performanc

The Teacher\u27s Role in Facilitating Memory and Study Strategy Development in the Elementary School Classroom

The efforts of 69 elementary school teachers to instruct children in cognitive processing activities were observed. Although the teaching of such activities was relatively infrequent, it varied by grade (occurring more often in grades 2-3 than in higher or lower grades) and by the content of instruction. Teachers of grade 4 and above more often provided rationales for the use of cognitive strategies than did teachers of younger children. In a second study, children of three achievement levels were selected from classrooms in which teachers varied in their use of suggestions regarding cognitive processes. Subsequent to training in the use of a memory strategy, children\u27s performance on a maintenance trial was evaluated: Among average and low achievers, those whose teachers were relatively high in strategy suggestions showed better maintenance and more deliberate use of the trained strategy than did children whose teachers rarely made strategy suggestions. The role of school experience in the development of children\u27s memory skills is discussed

Prevention of drowsy driving by means of warning sound

Traffic accidents occur due to inattentive driving such as drowsy driving. A variety of support systems that make an attempt to prevent inattentive driving are under development. The development of a system to prevent drowsy driving using auditory or tactile alarm system is undertaken. It is essential to detect the low arousal state and warn drivers of such a state so that drowsy can be prevented. EEG (Electroencephalography) was used to evaluate how an arousal level degraded with time for eight participants under a low arousal level. Mean power frequency (MPF) was calculated to evaluate an arousal level. The value of MPF was compared between high and low arousal levels. The difference of arousal effect among four warning sounds was examined. As a result, there was no significant difference of arousal effect among four alarm sounds. The alarm sound was found to temporarily heighten participants' arousal level

Bridges Structural Health Monitoring and Deterioration Detection Synthesis of Knowledge and Technology

INE/AUTC 10.0