Framework for designing Adaptive Automation

Yoo, Hyo-Sang

doi:10.1177/1071181312561452

Cited by 3 publications

(1 citation statement)

References 27 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This ranges from manual to automated. Control design continues to embrace automation over manual operation, where possible (Ackerly & Brager, 2013;Luna-Navarro et al, 2020;Sinopoli, 2010;Sinopoli, 2013b;Yoo, 2012). It is very rare for building to be fully automated due to complexity and cost (Agarwal et al, 2010).…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Task-based paradigm for the design of office occupant-building interactions

Kalvelage

View full text Add to dashboard Cite

This research is for my grandparents, George and Darlene Schmitt, who have supported me throughout my entire career. From making sure I picked up every last rock in a field to critiquing every play during my sports career; their dedication did not go unnoticed. The biggest thank you would never be enough. I would not be where I am and who I am today without you.Additionally, this research is for my dogs, Anubis, Horus, and Osiris, who kept me company while I wrote and made sure I never missed dinner.

show abstract

Section: Conceptual Frameworkmentioning

confidence: 99%

Task-based paradigm for the design of office occupant-building interactions

Kalvelage

View full text Add to dashboard Cite

show abstract

Design a dynamic automation system to adaptively allocate functions between humans and machines

Bernabei,

Costantino

2023

IFAC-PapersOnLine

View full text Add to dashboard Cite

Detection of operator performance breakdown as an automation triggering mechanism

Yoo

Lee

Landry

2015

2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)

Self Cite

View full text Add to dashboard Cite

Performance breakdown (PB) has been anecdotally described as a state where the human operator "loses control of context" and "cannot maintain required task performance." Preventing such a decline in performance is critical to assure the safety and reliability of human-integrated systems, and therefore PB could be useful as a point at which automation can be applied to support human performance. However, PB has never been scientifically defined or empirically demonstrated. Moreover, there is no validated objective way of detecting such a state or the transition to that state. The purpose of this work is: 1) to empirically demonstrate a PB state, and 2) to develop an objective way of detecting such a state. This paper defines PB and proposes an objective method for its detection.A human-in-the-loop study was conducted: 1) to demonstrate PB by increasing workload until the subject reported being in a state of PB, and 2) to identify possible parameters of a detection method for objectively identifying the subjectively-reported PB point, and 3) to determine if the parameters are idiosyncratic to an individual/context or are more generally applicable. In the experiment, fifteen participants were asked to manage three concurrent tasks (one primary and two secondary) for 18 minutes. The difficulty of the primary task was manipulated over time to induce PB while the difficulty of the secondary tasks remained static. The participants' task performance data was collected. Three hypotheses were constructed: 1) increasing workload will induce subjectively-identified PB, 2) there exists criteria that identifies the threshold parameters that best matches the subjectivelyidentified PB point, and 3) the criteria for choosing the threshold parameters is consistent across individuals. The results show that increasing workload can induce subjectively-identified PB, although it might not be generalizable-only 12 out of 15 participants declared PB. The PB detection method based on signal detection analysis was applied to the performance data and the results showed that PB can be identified using the method, particularly when the values of the parameters for the detection method were calibrated individually.

show abstract

Framework for designing Adaptive Automation

Cited by 3 publications

References 27 publications

Task-based paradigm for the design of office occupant-building interactions

Task-based paradigm for the design of office occupant-building interactions

Design a dynamic automation system to adaptively allocate functions between humans and machines

Detection of operator performance breakdown as an automation triggering mechanism

Contact Info

Product

Resources

About