Real-Time Feedback Systems, Recordkeeping and the Task Selection Bias

2018 ◽  
Author(s):  
Farah Arshad ◽  
Bart Dierynck
Keyword(s):  
Real Time ◽  
Selection Bias ◽  
Feedback Systems ◽  
Task Selection

Real-time distributed non-myopic task selection for heterogeneous robotic teams

2018 ◽  
Vol 43 (3) ◽  
pp. 789-811 ◽  
Author(s):  
Andrew J. Smith ◽  
Graeme Best ◽  
Javier Yu ◽  
Geoffrey A. Hollinger
Keyword(s):  
Real Time ◽  
Task Selection ◽  
Selection For ◽  
Robotic Teams

scholarly journals Publisher Correction: Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives

Nature Energy ◽  
2019 ◽  
Vol 4 (10) ◽  
pp. 891-891
Author(s):  
Verena Tiefenbeck ◽  
Anselma Wörner ◽  
Samuel Schöb ◽  
Elgar Fleisch ◽  
Thorsten Staake
Keyword(s):  
Energy Conservation ◽  
Real Time ◽  
Selection Bias ◽  
Monetary Incentives

scholarly journals Artificial intelligence, real-time feedback and workplace learning analytics to support in situ complex problem-solving: a commentary

2020 ◽  
Vol 37 (5) ◽  
pp. 267-277
Author(s):  
Maarten de Laat ◽  
Srecko Joksimovic ◽  
Dirk Ifenthaler
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Real Time ◽  
Workplace Learning ◽  
Learning Analytics ◽  
Complex Problem ◽  
Complex Problem Solving ◽  
Feedback Systems ◽  
Content Type

PurposeTo help workers make the right decision, over the years, technological solutions and workplace learning analytics systems have been designed to aid this process (Ruiz-Calleja et al., 2019). Recent developments in artificial intelligence (AI) have the potential to further revolutionise the integration of human and artificial learning and will impact human and machine collaboration during team work (Seeber et al., 2020).Design/methodology/approachComplex problem-solving has been identified as one of the key skills for the future workforce (Hager and Beckett, 2019). Problems faced by today's workforce emerge in situ and everyday workplace learning is seen as an effective way to develop the skills and experience workers need to embrace these problems (Campbell, 2005; Jonassen et al., 2006).FindingsIn this commentary the authors argue that the increased digitization of work and social interaction, combined with recent research on workplace learning analytics and AI opens up the possibility for designing automated real-time feedback systems capable of just-in-time, just-in-place support during complex problem-solving at work. As such, these systems can support augmented learning and professional development in situ.Originality/valueThe commentary reflects on the benefits of automated real-time feedback systems and argues for the need of shared research agenda to cohere research in the direction of AI-enabled workplace analytics and real-time feedback to support learning and development in the workplace.

Practical Voice Analyses and their Application in the Studio

2018 ◽  
pp. 1048-1070
Author(s):  
Garyth Nair ◽  
David M. Howard ◽  
Graham F. Welch
Keyword(s):  
Real Time ◽  
Visual Feedback ◽  
Learning Process ◽  
Private Practice ◽  
Pedagogical Practice ◽  
Feedback Systems ◽  
Voice Studio ◽  
Computer Based ◽  
Direct Feedback ◽  
The Voice

Modern personal computers are fast enough to analyze singing and provide real-time visual feedback of relevant acoustic elements. This feedback provides a quantitative dimension to the learning process in support of developing appropriate sung outputs. However, no computer-based system can replace the singing teacher, as the qualitative listening of an experienced musician cannot be replicated by a computer algorithm. The application of real-time visual displays can facilitate greater efficiency in learning fundamental skills through direct feedback in lessons and during private practice, leaving the teacher more time to work on qualitative aspects of performance that a computer cannot contribute to, such as stagecraft, interpretation, understanding the words, collaborating with an accompanist, and when to use different voice qualities. This chapter describes typical displays that are used in real-time visual feedback systems for singing training and considers how spectrography in particular can be used in pedagogical practice in the voice studio.

scholarly journals Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives

Nature Energy ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Verena Tiefenbeck ◽  
Anselma Wörner ◽  
Samuel Schöb ◽  
Elgar Fleisch ◽  
Thorsten Staake
Keyword(s):  
Energy Conservation ◽  
Real Time ◽  
Selection Bias ◽  
Monetary Incentives

scholarly journals Residency Faculty Teaching Evaluation: What Do Faculty, Residents, and Program Directors Want?

2019 ◽  
Vol 51 (6) ◽  
pp. 509-515 ◽  
Author(s):  
Linda Myerholtz ◽  
Alfred Reid ◽  
Hannah M. Baker ◽  
Lisa Rollins ◽  
Cristen P. Page
Keyword(s):  
Real Time ◽  
Residency Program ◽  
Online Survey ◽  
Program Directors ◽  
Teaching Evaluation ◽  
Feedback Systems ◽  
Convenience Sample ◽  
Faculty Teaching ◽  
Qualitative Approaches ◽  
Survey Responses

Background and Objectives: The Accreditation Council for Graduate Medical Education Common Residency Program Requirements stipulate that each faculty member’s performance be evaluated annually. Feedback is essential to this process, yet the culture of medicine poses challenges to developing effective feedback systems. The current study explores existing and ideal characteristics of faculty teaching evaluation systems from the perspectives of key stakeholders: faculty, residents, and residency program directors (PDs). Methods: We utilized two qualitative approaches: (1) confidential semistructured telephone interviews with PDs from a convenience sample of eight family medicine residency programs, (2) qualitative responses from an anonymous online survey of faculty and residents in the same eight programs. We used inductive thematic analysis to analyze the interviews and survey responses. Data collection occurred in the fall of 2017. Results: All eight (100%) of the PDs completed interviews. Survey response rates for faculty and residents were 79% (99/126) and 70% (152/216), respectively. Both PD and faculty responses identified a desire for actionable, real-time, frequent feedback used to foster continued professional development. Themes unique to faculty included easy accessibility and feedback from peers. Residents expressed an interest in in-person feedback and a process minimizing potential retribution. Residents indicated that feedback should be based on shared understanding of what skill(s) the faculty member is trying to address. Conclusions: PDs, faculty, and residents share a desire to provide faculty with meaningful, specific, and real-time feedback. Programs should strive to provide a culture in which feedback is an integral part of the learning process for both residents and faculty.

Abstract 275: Automated External Defibrillator with Real-Time Audiovisual Feedback System Improves the Quality of Cardiopulmonary Resuscitation

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Kenji Hayashi ◽  
Hiroaki Ushikoshi ◽  
Naoki Matsumaru ◽  
Sho Nachi ◽  
Hikaru Nachi ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Medical Students ◽  
Cardiopulmonary Resuscitation ◽  
Real Time ◽  
Healthcare Professionals ◽  
Feedback System ◽  
Automated External Defibrillator ◽  
Feedback Systems ◽  
External Defibrillator

Background: Public access defibrillation (PAD) with automated external defibrillator (AED) is a widely available and beneficial intervention for cardiac arrest. The quality of chest compressions (CC) is an important determinant of the outcome of cardiopulmonary resuscitation (CPR). In Japan, AED with real-time audiovisual feedback is being implemented, and has been available to bystanders since 2011. However, the benefit of CC feedback systems for laypersons remains unclear. In this study, we sought to determine the effects of audiovisual feedback system on the quality of CC in bystanders with different medical backgrounds. Methods: A total of 478 individuals (151 healthcare professionals [mean age, 31.3 years], 76 medical students [mean age, 23.6 years], and 251 non-healthcare professionals [mean age, 40.1 years]) participated in a CPR quality improvement challenge. Participants performed two 2-min trials of CC on a training manikin equipped with an accelerometer-based system for measuring both rate and depth of CC. Real-time audiovisual feedback was disabled during first trial, but activated during the second trial. The quality of CC was evaluated by counting the number of compressions with the appropriate depth (5.0-10 cm) and rate (100-120 cpm) in each trial. Results: Among all participants, mean depth of CC was higher (6.35 vs. 5.87 cm), and mean rate was lower (102.4 vs. 112.2 cpm) when the feedback system was activated than when it was disabled (p < 0.05). When real-time feedback was activated, non-healthcare professional participants performed CC of greater depth (6.41 vs. 5.63 cm) than healthcare professionals (6.25 vs. 6.09 cm) and medical students (6.34 vs. 6.19 cm) (p < 0.05). The quality index of CC, which the percentage of adequate depth and rate, was also significantly improved regardless medical backgrounds (p < 0.05). Conclusions: The use of real-time CPR feedback systems improves the quality of CC performed by individuals of all backgrounds, especially non-healthcare personnel. PAD with AED providing CPR feedback technologies may elevate the survival rate of out-of-hospital cardiac arrest and increase the likelihood of favorable outcomes.

Sa1110 Will Real-Time Feedback Systems Adversely Affect Colonoscopy Practice?

2012 ◽  
Vol 142 (5) ◽  
pp. S-218
Author(s):  
Nandakumar Srinivasan ◽  
Michael J. Szewczynski ◽  
Felicity Enders ◽  
Wallapak Tavanapong ◽  
JungHwan Oh ◽  
...  
Keyword(s):  
Real Time ◽  
Feedback Systems
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