System interaction influences on cognitive-affective states to enhance performance, workload, and knowledge acquisition in teams conducting close air support simulations.

2016 ◽  
Vol 60 (1) ◽  
pp. 1260-1263
Author(s):  
Baron C. Summers ◽  
Herbert Hauser
Keyword(s):  
Knowledge Acquisition ◽  
Affective State ◽  
Feedback System ◽  
Affective States ◽  
Feedback Systems ◽  
Training Environment ◽  
Team Members ◽  
Human Computer Interfaces ◽  
Automated Feedback ◽  
Aerial Systems

The purpose of this research is to shed light on the effects of an automated feedback system to optimize cognitive-affective states and increase effectiveness of using remotely piloted aerial system team members training to conduct Close Air Support missions in a simulation training environment. Feedback manipulations in this study utilize attributes of engagement as an optimal cognitive-affective state in order to assess state and effectiveness differences. Understanding these effects could enable predictions of aspects that might be adapted to optimize future approaches in training teams in complex situations. If states of learners can be impacted via feedback experiences to an engagement like state and thereby benefit from increased learning and effectiveness, then training approaches utilizing feedback may advance in capability. Thus, designs of automated feedback systems in human-computer interfaces may help advance training of complex military tasks such as close air support with remotely piloted aerial systems through decreasing workload, increasing knowledge acquisition, and enabling better performance.

Interaction Designs Impact on Knowledge Acquisition With Unmanned Aerial System Teams Performing Complex Tasks

2017 ◽  
Vol 61 (1) ◽  
pp. 1457-1460
Author(s):  
Baron C. Summers ◽  
Herb Hauser
Keyword(s):  
Knowledge Acquisition ◽  
Interaction Design ◽  
Feedback System ◽  
Analysis Of Covariance ◽  
Unmanned Aerial Systems ◽  
Primary Analysis ◽  
Training Environment ◽  
Team Members ◽  
Engagement Theory ◽  
Aerial Systems

The purpose of this analysis was to investigate the effects of interaction design variations in an automated feedback system to impact knowledge acquisition. The context was a system developed for teams controlling remotely piloted unmanned aerial systems in a simulation training environment. Two groups were exposed to experimental feedback interactions which were developed from elements of engagement theory while the third group was exposed to traditional feedback interactions not aligned with engagement theory. Participants conducted a series of Close Air Support (CAS) missions of varying difficulty with knowledge acquisition measured both after initial and final missions. If the knowledge acquisition of team members could be impacted through different feedback interaction designs of the system, then a opportunity for advancing learning in training teams controlling unmanned aerial systems may result. An Analysis of Covariance (ANCOVA) was the primary analysis performed to assess if there were differences in adjusted means after completion of the final mission controlling for initial differences in knowledge. There were no significant differences detected between experimental groups. Furthermore, a two way mixed ANCOVA was conducted to investigate if their was an interaction between different roles of team members and feedback designs but none was detected. The potential reasons why differences were not detected despite the engagement theory literature suggesting a different result are explored in the discussion.

scholarly journals Educators' perceptions of automated feedback systems

2008 ◽  
Vol 24 (4) ◽  
Author(s):  
Justin C. W. Debuse ◽  
Meredith Lawley ◽  
Rania Shibl
Keyword(s):  
Academic Staff ◽  
Research Question ◽  
Feedback System ◽  
Feedback Systems ◽  
Constructive Feedback ◽  
Use Of Technology ◽  
Quality Feedback ◽  
Core Function ◽  
Assessment Of Student Learning ◽  
Automated Feedback

<span>Assessment of student learning is a core function of educators. Ideally students should be provided with timely, constructive feedback to facilitate learning. However, provision of high quality feedback becomes more complex as class sizes increase, modes of study expand and academic workloads increase. ICT solutions are being developed to facilitate quality feedback, whilst not impacting adversely upon staff workloads. Hence the research question of this study is 'How do academic staff perceive the usefulness of an automated feedback system in terms of impact on workloads and quality of feedback?' This study used an automated feedback generator (AFG) across multiple tutors and assessment items within an MBA course delivered in a variety of modes. All academics marking in the course completed a survey based on an adaptation of the </span><em>unified theory of acceptance and use of technology</em><span> (UTAUT) model. Results indicated that while the workload impact was generally positive with savings in both cost and time, improvements and modifications to the system could further reduce workloads. Furthermore, results indicated that AFG improves quality in terms of timeliness, greater consistency between markers and an increase in the amount of feedback provided.</span>

Optimal Model Reference Control Scheme Design for Nonlinear Strict-Feedback Systems

2020 ◽  
Vol 38 (9A) ◽  
pp. 1342-1351
Author(s):  
Musadaq A. Hadi ◽  
Hazem I. Ali
Keyword(s):  
Reference Model ◽  
Feedback System ◽  
Optimization Method ◽  
Feedback Systems ◽  
Model Reference ◽  
Scheme Design ◽  
Model Reference Control ◽  
Control Scheme ◽  
Lyapunov Stability Analysis ◽  
Strict Feedback

In this paper, a new design of the model reference control scheme is proposed in a class of nonlinear strict-feedback system. First, the system is analyzed using Lyapunov stability analysis. Next, a model reference is used to improve system performance. Then, the Integral Square Error (ISE) is considered as a cost function to drive the error between the reference model and the system to zero. After that, a powerful metaheuristic optimization method is used to optimize the parameters of the proposed controller. Finally, the results show that the proposed controller can effectively compensate for the strictly-feedback nonlinear system with more desirable performance.

scholarly journals Towards estimating affective states in Virtual Reality based on behavioral data

2021 ◽  
Author(s):  
Valentin Holzwarth ◽  
Johannes Schneider ◽  
Joshua Handali ◽  
Joy Gisler ◽  
Christian Hirt ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Adaptive Systems ◽  
User Study ◽  
Affective State ◽  
Head Movements ◽  
Affective States ◽  
Physical Demand ◽  
Perceived Performance ◽  
Sequential Administration ◽  
Better Than

AbstractInferring users’ perceptions of Virtual Environments (VEs) is essential for Virtual Reality (VR) research. Traditionally, this is achieved through assessing users’ affective states before and after being exposed to a VE, based on standardized, self-assessment questionnaires. The main disadvantage of questionnaires is their sequential administration, i.e., a user’s affective state is measured asynchronously to its generation within the VE. A synchronous measurement of users’ affective states would be highly favorable, e.g., in the context of adaptive systems. Drawing from nonverbal behavior research, we argue that behavioral measures could be a powerful approach to assess users’ affective states in VR. In this paper, we contribute by providing methods and measures evaluated in a user study involving 42 participants to assess a users’ affective states by measuring head movements during VR exposure. We show that head yaw significantly correlates with presence, mental and physical demand, perceived performance, and system usability. We also exploit the identified relationships for two practical tasks that are based on head yaw: (1) predicting a user’s affective state, and (2) detecting manipulated questionnaire answers, i.e., answers that are possibly non-truthful. We found that affective states can be predicted significantly better than a naive estimate for mental demand, physical demand, perceived performance, and usability. Further, manipulated or non-truthful answers can also be estimated significantly better than by a naive approach. These findings mark an initial step in the development of novel methods to assess user perception of VEs.

scholarly journals The Interpretation of E-Motions in Faces and Bodies Derived from Static Artworks by Individuals with High Functioning Autistic Spectrum

Vision ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 17
Author(s):  
Maria Elisa Della-Torre ◽  
Daniele Zavagno ◽  
Rossana Actis-Grosso
Keyword(s):  
Positive Emotions ◽  
Emotional Experience ◽  
Affective State ◽  
Likert Scale ◽  
Autism Spectrum ◽  
Emotional Expressions ◽  
Affective States ◽  
Dynamic Component ◽  
Specific Emotion ◽  
Similar Range

E-motions are defined as those affective states the expressions of which—conveyed either by static faces or body posture—embody a dynamic component and, consequently, convey a higher sense of dynamicity than other emotional expressions. An experiment is presented, aimed at testing whether e-motions are perceived as such also by individuals with autism spectrum disorders (ASDs), which have been associated with impairments in emotion recognition and in motion perception. To this aim we replicate with ASD individuals a study, originally conducted with typically developed individuals (TDs), in which we showed to both ASD and TD participants 14 bodiless heads and 14 headless bodies taken from eleven static artworks and four drawings. The Experiment was divided into two sessions. In Session 1 participants were asked to freely associate each stimulus to an emotion or an affective state (Task 1, option A); if they were unable to find a specific emotion, the experimenter showed them a list of eight possible emotions (words) and asked them to choose one from such list, that best described the affective state portrayed in the image (Task 1, option B). After their choice, they were asked to rate the intensity of the perceived emotion on a seven point Likert scale (Task 2). In Session 2 participants were requested to evaluate the degree of dynamicity conveyed by each stimulus on a 7 point Likert scale. Results showed that ASDs and TDs shared a similar range of verbal expressions defining emotions; however, ASDs (i) showed an impairment in the ability to spontaneously assign an emotion to a headless body, and (ii) they more frequently used terms denoting negative emotions (for both faces and bodies) as compared to neutral emotions, which in turn were more frequently used by TDs. No difference emerged between the two groups for positive emotions, with happiness being the emotion better recognized in both faces and in bodies. Although overall there are no significant differences between the two groups with respect to the emotions assigned to the images and the degree of perceived dynamicity, the interaction Artwork x Group showed that for some images ASDs assigned a different value than TDs to perceived dynamicity. Moreover, two images were interpreted by ASDs as conveying completely different emotions than those perceived by TDs. Results are discussed in light of the ability of ASDs to resolve ambiguity, and of possible different cognitive styles characterizing the aesthetical/emotional experience.

Criteria for Recovery of Zero Initial Condition Responses of Unstable Plants Under Input Saturation

2000 ◽  
Author(s):  
Wei Wu ◽  
Suhada Jayasuriya
Keyword(s):  
Initial Conditions ◽  
Input Saturation ◽  
Input Sequence ◽  
Feedback System ◽  
Open Loop ◽  
Feedback Systems ◽  
Bounded Control ◽  
Analysis And Design ◽  
Study Results ◽  
Unstable Plant

Abstract In this paper, we consider the sufficient and/or necessary conditions under which responses of unstable plants with zero initial conditions would be bounded under step inputs. Several possible unstable pole patterns are examined, and corresponding criteria are derived. It is shown that an unstable plant can be stabilized to have bounded responses using an alternate step input sequence. Step inputs simulate the saturated inputs in a feedback system with bounded control, where the closed-loop stability of an unstable plant is really difficult to study. Results from this open-loop study may lend some insight into the analysis and design of such feedback systems under input saturation nonlinearities.

scholarly journals Effects of Classroom Activities on Affective State—A Comparison of Third and Fifth Graders

2016 ◽  
Vol 6 (2) ◽  
pp. 1 ◽  
Author(s):  
Michael Fartoukh ◽  
Lucile Chanquoy
Keyword(s):  
Academic Performance ◽  
Educational Psychology ◽  
Grade Level ◽  
Fifth Graders ◽  
Affective State ◽  
Third Graders ◽  
Cognitive Resources ◽  
Affective States ◽  
Classroom Activities ◽  
School Day

<p>We analysed the influence of classroom activities on children’s affective states. Children perform many different activities in the course of an ordinary school day, some of which may trigger changes in their affective state and thus in the availability of their cognitive resources and their degree of motivation. To observe the effects of two such activities (listening to a text and performing a dictation) on affective state, according to grade, we asked 39 third graders and 40 fifth graders to specify their affective state at several points in the day. Results showed that this state varied from one activity to another, and was also dependent on grade level. Third graders differed from fifth graders in the feelings elicited by the activities. The possible implications of these findings for the field of educational psychology and children’s academic performance are discussed.</p>

Modeling head tracking of visual targets

2002 ◽  
Vol 12 (1) ◽  
pp. 25-33
Author(s):  
K.J. Chen ◽  
E.A. Keshner ◽  
B.W. Peterson ◽  
T.C. Hain
Keyword(s):  
Control System ◽  
Visual Feedback ◽  
Human Head ◽  
Feedback System ◽  
Optimization Methods ◽  
Head Tracking ◽  
Feedback Systems ◽  
Control Gain ◽  
Head Control ◽  
Visual Targets

Control of the head involves somatosensory, vestibular, and visual feedback. The dynamics of these three feedback systems must be identified in order to gain a greater understanding of the head control system. We have completed one step in the development of a head control model by identifying the dynamics of the visual feedback system. A mathematical model of human head tracking of visual targets in the horizontal plane was fit to experimental data from seven subjects performing a visual head tracking task. The model incorporates components based on the underlying physiology of the head control system. Using optimization methods, we were able to identify neural processing delay, visual control gain, and neck viscosity parameters in each experimental subject.

Measuring Teachers’ Civic Online Reasoning in a MOOC with Virtual Simulations and Automated Feedback Systems

2021 ◽  
pp. 364-370
Author(s):  
G. R. Marvez ◽  
Joshua Littenberg-Tobias ◽  
Teresa Ortega ◽  
Joel Breakstone ◽  
Justin Reich
Keyword(s):  
Feedback Systems ◽  
Virtual Simulations ◽  
Automated Feedback
Sign in / Sign up

Export Citation Format

Share Document