Wan-Lin Hu

Wan-Lin Hu
Stanford University | SU · SLAC National Accelerator Laboratory

Doctor of Philosophy

About

11
Publications
3,711
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269
Citations
Citations since 2016
7 Research Items
268 Citations
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20162017201820192020202120220204060

Publications

Publications (11)
Chapter
Human operators interact with the power control system as “in-the-loop” control elements to ensure the system stability and safety. The role of human operators becomes more critical with the increasing usage of renewable energy resources. This research seeks to support operator training by developing a technique to quantitatively model human operat...
Article
We developed an experiment to elicit human trust dynamics in human–machine interaction contexts and established a quantitative model of human trust behavior with respect to these contexts. The proposed model describes human trust level as a function of experience, cumulative trust, and expectation bias. We estimated the model parameters using human...
Article
Personal context-specific experience can affect how a designer evaluates a design problem and proposes solutions. However, this effect was seldom discovered in a quantitative manner in problem-solving design tasks. This paper uses empirical evidence and quantitative methods to show the effects of novice designers' contextual experience on design ta...
Article
Today, intelligent machines \emph{interact and collaborate} with humans in a way that demands a greater level of trust between human and machine. A first step towards building intelligent machines that are capable of building and maintaining trust with humans is the design of a sensor that will enable machines to estimate human trust level in real-...
Conference Paper
Full-text available
In an increasingly automated world, trust between humans and autonomous systems is critical for successful integration of these systems into our daily lives. In particular, for autonomous systems to work cooperatively with humans, they must be able to sense and respond to the trust of the human. This inherently requires a control-oriented model of...
Article
Using electroencephalography (EEG) to predict design outcomes could be used in many applications as it facilitates the correlation of engagement and cognitive workload with ideation effectiveness. It also establishes a basis for the connection between EEG measurements and common constructs in engineering design research. In this paper, we propose a...
Article
Full-text available
Human trust in automation plays an important role in successful interactions between humans and machines. To design intelligent machines that can respond to changes in human trust, real-time sensing of trust level is needed. In this paper, we describe an empirical trust sensor model that maps psychophysiological measurements to human trust level. T...
Conference Paper
Full-text available
This research investigated the effect of warm-up activities on cognitive states during concept generation. Psychophysiolog-ical tools including electroencephalography (EEG) and galvanic skin response (GSR) were used along with self-report measures (NASA TLX). Participants were divided into 3 test conditions: 1) no warm-up activity; 2) simple warm-u...
Conference Paper
Full-text available
Mitigating human errors is a priority in the design of complex systems, especially through the use of body area networks. This paper describes early developments of a dynamic data driven platform to predict operator error and trigger appropriate intervention before the error happens. Using a two-stage process, data was collected using several senso...
Conference Paper
Structural health monitoring (SHM) techniques have traditionally been applied to mechanical, aerospace, and civil structures to identify loading and damage patterns. However, human operators in the loop play an important role in the operational performance of aircraft and other structural systems. The increased availability of sensors such as EEG,...
Conference Paper
Full-text available
In this work, we propose a fluid tapping mode atomic force microscopy (AFM) implemented by a DVD pickup head. The use of DVD pickup head minimizes the volume of the hardware system, and thus reduces the measurement error caused by heat expansion. In order to realize the system mentioned above, we design a Q-controller to modulate the interaction fo...

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Projects

Projects (2)
Project
The objective of the proposed research is to understand the dynamic relationship between machine user interfaces (UIs) and human trust in automated systems. The new knowledge gained through this research will enable us to improve the human-machine interactions through a redesign of the user interface that includes an emotional intelligence system for the machine to respond to the human in real-time.