Greg Placencia

California State Polytechnic University

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Mansour Rahimi

University of Southern California

Behrokh Khoshnevis

University of Southern California

Pauline Salim Muljana

Old Dominion University

Najmedin Meshkati

University of Southern California

Eric Moore

University College Cork

Tian Luo

Jinan Maternity And Care Hospital

Jennifer Lin Russell

Peabody

Maged Dessouky

University of Southern California

Alison McKay

University of Leeds

Kimberly Cerrillos

Cooperative Institutions

University of Southern California

Southern California University for Professional Studies

University of California, Berkeley

LAC+USC Medical Center

University of Leeds

University of Cambridge

Old Dominion University

University of Tennessee at Knoxville

Dominion University College

Children's Hospital of Los Angeles

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A heuristic to capture multi-directional lateral tactile perception

Theoretical Issues in Ergonomics Science (2011)

Greg Placencia Mansour Rahimi Behrokh Khoshnevis

Abstract Multi-directional tactile perception adds significant complexity when interpreting haptic experimental data. In perceiving tactile stimulus direction, we often observe a lack of one-to-one stimulus-response compatibility, mostly due to confounding sensations that reinforce and/or distort a primary stimulus. This study presents the development of a metric to capture multi-directional lateral tactile perception on a finger pad. Sixty-two subjects rated the direction and magnitude of lateral motion from a single probe moving in one of the eight possible directions. A heuristic based on a vector matrix was developed to capture and integrate the relative contribution of each subject's rated directional perception in x–y coordinates. This article explains the theoretical underpinnings and the justifications for this heuristic and highlights the usefulness of this approach for future haptic system designs. Keywords: hapticsmulti-directional tactile perceptionpercept vectorjust noticeable differenceresponse magnitude Acknowledgements The authors thank Dr Kurt Palmer for his contribution to the design of experiment and the statistical data analysis.

Tactile Perception

10.1080/1463922x.2010.549248

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Citations (1)

Sensing Directionality in Tangential Haptic Stimulation

Lecture notes in computer science (2009)

Greg Placencia Mansour Rahimi Behrokh Khoshnevis

Braille

Tactile sensor

Tactile display

Tactile Perception

10.1007/978-3-642-02728-4_27

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Citations (12)

Psychological and Cultural Components Affecting Rail Worker Culture: A Literature Review

Greg Placencia

Developing and maintaining a healthy work environment is an important consideration to the rail industry. Several theories have been advanced to examine, understand, and influence how workers function and interact within their working environments. These include motivational theories such as Taylor’s Theory of Scientific Management and Maslow’s Hierarchy of Needs, models of moral develop such as developed by Kohlberg and Gilligan, theories of personality types like Myers–Brigg and Keirsey, and the theory of cultural dimensions developed by Hofstede. Positive work environments can contribute to safe and efficient operations, while negative work environments almost inevitably degrade performance and increase the potential for injury and accidents. Therefore understanding and managing these elements properly can greatly contribute to better organizational outcomes. This paper will then examine the underlying role of human behavior as determined by these theories appear to have played in 5 incidents at Metro–North Railroad in 2013–2014.

10.1115/jrc2015-5609

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Development of an Economical Haptic Stimulus Device

Communications in computer and information science (2011)

Greg Placencia Mansour Rahimi Behrokh Khoshnevis

Haptic perception

Stimulus (psychology)

Stereotaxy

Information Transfer

10.1007/978-3-642-22095-1_53

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Conducting a Formative Evaluation on a Course-Level Learning Analytics Implementation Through the Lens of Self-Regulated Learning and Higher-Order Thinking

Journal of Applied Instructional Design (2022)

Pauline Salim Muljana Tian Luo Greg Placencia

Self-regulated learning (SRL) and higher-order thinking skills (HOTS) are associated with academic achievement, but fostering these skills is not easy. Scholars have suggested an alternative way to scaffold these important skills through learning analytics (LA). This paper presents a formative evaluation of a course-level LA implementation through the lens of self-regulated learning (SRL) and higher-order thinking skills (HOTS). We explored the changes in students’ SRL, HOTS, and perceptions at the end of the course term. Results indicate an increase in some elements of SRL and HOTS, and positive student perceptions. Discussion on implications and opportunities for informing future teaching strategies and course design reiteration are included.

Higher-Order Thinking

Course (navigation)

Learning Analytics

Self-Regulated Learning

10.59668/354.5902

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Applying a Learning Analytics Approach to Improve Course Achievement

Routledge eBooks (2023)

Pauline Salim Muljana Greg Placencia Tian Luo

Amazon recommends items we want to purchase and Netflix suggests movies that match our interests (Dietz et al, 2018), curated approaches that seem like magic—in reality, both businesses strategically use data analytics to meet their consumers' needs better. It is no surprise then that some colleges and universities have turned to data analytics, long used in business and marketing, to find ways to support students' needs successfully. Specifically, campuses are using learning analytics (LA), a subtype of data analytics. For example, Stanford University has developed the Open Analytics Research Service (OARS), a system that uses data visualization to help faculty monitor an individual student's learning progress across courses and adjust instruction dynamically in real time to improve each student's progress toward achieving mastery-level learning outcomes (Thille & Zimmaro, 2017).

Course (navigation)

Learning Analytics

10.4324/9781003448334-8

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Reviewing the Use of Proactive Data Analysis in Developing Rail Safety Culture

Greg Placencia

While experience is often the best teacher, learning from precursors is much less painful. The aviation and health care industries have greatly benefited from proactively analyzing and developing measures to address sentinel events and learning from various data sources. Such reflective learning is typical of High Reliability Organizations (HROs) with strong learning cultures. As technology like Positive Train Control increasingly integrates into the rail industry, the resulting data they inevitably produce can provide a wealth of knowledge that can greatly improve safety if the data streams are well managed and not blindly mined. For example, simulators generate data while locomotive engineers use them. During training, such data can indicate weak points where the engineer can improve. Examining such data over multiple engineers can establish general areas of strengths and weaknesses among trainees where instructors can place more or less focus and develop better overall training options. Such data could potentially be used to improve cab design and establish how trains and cab care would operate along a given rail line. This paper will explore the use of data streams from various sources, including those currently used like injury reports, emerging ones like simulation training evaluations and data logs to develop better safety cultures within the rail industry.

Safety Culture

Strengths and weaknesses

10.1115/jrc2016-5799

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An Evaluation of User Experiences on Smart Buildings

Kimberly Cerrillos Greg Placencia Alison McKay Simon Rees

Source

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Utilization of Participatory Ergonomics and Socio-Technical Models to Identify the Risk Factors of Invasive Medical Technologies in Non-Clinical Environments

Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2015)

Joshua L Gray Glenn Takata Mary Lawlor Greg Placencia Najmedin Meshkati

In 2010 ~12 million Americans received home health care or care in a non-clinical environment due to the growing cost and capacity constraints of hospital health care. The purpose of this research study is to initiate an effort to understand the socio-technological risk factors associated with invasive medical therapies in non-clinical environments and develop mitigation strategies for non-clinical caregivers. Participatory Ergonomics is utilized to facilitate the discovery of cognitive, physical and macro-ergonomic risk factors associated with invasive medical technology in non-clinical environments to address the socio- psychological, technological and organizational perspectives of this study. This research study will result in a patient safely template and quality of care model for health systems engineering that involves invasive medical technologies in non-clinical environments, which can be applied to pediatric and adult populations globally.

Participatory ergonomics

Cognitive ergonomics

10.1177/1541931215591113

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Human–Computer Interface Design

The electrical engineering handbook/Electrical engineering handbook series/Electrical engineering handbook (2004)

Jennifer Lin Russell Mansour Rahimi Greg Placencia

Interface (matter)

Interface design

10.1201/9781420039870.ch150

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Citations (16)