Tasting rewards. Effects of orosensory sweet signals on human error processing

AbstractPost-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response times in correct post-error trials to response times of correct trials that follow another correct trial, and a more recent proposal of comparing response times in correct post-error trials to the corresponding correct pre-error trials. Based on thorough re-analyses of two datasets, we argue that the latter method provides an inflated estimate by also capturing the (partially) independent effect of pre-error speeding. We propose two solutions for improving the assessment of human error processing, both of which highlight the importance of distinguishing between initial pre-error speeding and later post-error slowing.

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The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.

Psychological Review ◽

10.1037/0033-295x.109.4.679 ◽

2002 ◽

Vol 109 (4) ◽

pp. 679-709 ◽

Cited By ~ 2316

Author(s):

Clay B. Holroyd ◽

Michael G. H. Coles

Keyword(s):

Reinforcement Learning ◽

Human Error ◽

Error Processing ◽

Neural Basis ◽

Error Related Negativity

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An Alternative Method for Identifying a Failed Engine in Twin-Engine Propeller Aircraft

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000195 ◽

2020 ◽

Vol 10 (2) ◽

pp. 103-111

Author(s):

Andrey K. Babin ◽

Andrew R. Dattel ◽

Margaret F. Klemm

Keyword(s):

Human Error ◽

Flight Simulator ◽

Traditional Group ◽

Aircraft Accidents ◽

Alternative Method ◽

Indicator Group ◽

Group A ◽

The Dead ◽

Engine Failure ◽

And Performance

Abstract. Twin-engine propeller aircraft accidents occur due to mechanical reasons as well as human error, such as misidentifying a failed engine. This paper proposes a visual indicator as an alternative method to the dead leg–dead engine procedure to identify a failed engine. In total, 50 pilots without a multi-engine rating were randomly assigned to a traditional (dead leg–dead engine) or an alternative (visual indicator) group. Participants performed three takeoffs in a flight simulator with a simulated engine failure after rotation. Participants in the alternative group identified the failed engine faster than the traditional group. A visual indicator may improve pilot accuracy and performance during engine-out emergencies and is recommended as a possible alternative for twin-engine propeller aircraft.

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A closer look at Division 21: Human error or designer error?

PsycEXTRA Dataset ◽

10.1037/e460192006-057 ◽

2006 ◽

Author(s):

Erika Packard ◽

Keyword(s):

Human Error

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Air Traffic Control: Human Error Type Interactions

PsycEXTRA Dataset ◽

10.1037/e515872007-001 ◽

2006 ◽

Author(s):

Larry Bailey ◽

Julia Pounds ◽

Carol Manning ◽

David Schroeder

Keyword(s):

Traffic Control ◽

Air Traffic Control ◽

Human Error ◽

Air Traffic ◽

Error Type

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U.S. Transportation Secretary Slater Announces Federal Railroad Administration Initiative To Reduce Accidents Involving Human Error

PsycEXTRA Dataset ◽

10.1037/e564132012-001 ◽

1999 ◽

Keyword(s):

Human Error

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EVALUASI ATAS PENGENDALIAN SISTEM INFORMASI AKUNTANSI PENJUALAN PADA PT PENGELOLA PUSAT PERDAGANGAN CARINGIN UNTUK MENGUKUR EFEKTIVITAS DAN EFISIENSI PENGELOLAAN PENDAPATAN LISTRIK

AIMS Jurnal Accounting Information System ◽

10.32627/aims.v1i2.21 ◽

2018 ◽

Vol 1 (2) ◽

pp. 1-10

Author(s):

Nano Suyatna

Keyword(s):

Human Resources ◽

Human Error ◽

Accounting Information ◽

Good Control ◽

Accounting Information System ◽

Accounting Information Systems ◽

Payment Methods ◽

Reasonable Cost ◽

Financial Transactions ◽

A Company

In an effort to improve electricity services to customers, there needs to be a balance between the supply of electricity and revenue. Payment methods made by the Perusahaan Listrik Negara (PLN) use Postpaid and Prepaid methods. Because services with postpaid methods better meet customer satisfaction, this method is chosen. Sales Accounting Information System is an information technology-based accounting application to support financial transactions in a company to run faster, more precisely and accurately at a reasonable cost. In its operation, it takes competent human resources to not be a source of problems (human error) and adequate infrastructure. To overcome the obstacles that will arise, whether triggered by the application or by the human resources themselves, it is necessary to control both aspects. Based on this research it shows that the application of Sales Accounting Information Systems and existing human resources is sufficiently supportive and reliable in supporting the creation of good control as it is proven that the level of acceptance of sales targets is realized effectively and efficiently.

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MONITORING OF OPERATIONAL LOGISTIC PROCESSES IN GENERAL CARGO WAREHOUSES USING PREDICTIVE ANALYSIS

Advanced Logistic Systems - Theory and Practice ◽

10.32971/als.2019.009 ◽

2019 ◽

Vol 13 (1) ◽

pp. 27-36

Author(s):

Andreas Neubert

Keyword(s):

Data Mining ◽

Human Error ◽

Predictive Analysis ◽

Data Mining Algorithm ◽

It Infrastructure ◽

Monitoring Procedure ◽

Manual Recording ◽

Mining Tool ◽

General Cargo ◽

Different Characteristics

Due to the different characteristics of the piece goods (e.g. size and weight), they are transported in general cargo warehouses by manually-operated industrial trucks such as forklifts and pallet trucks. Since manual activities are susceptible to possible human error, errors occur in logistical processes in general cargo warehouses. This leads to incorrect loading, stacking and damage to storage equipment and general cargo. It would be possible to reduce costs arising from errors in logistical processes if these errors could be remedied in advance. This paper presents a monitoring procedure for logistical processes in manually-operated general cargo warehouses. This is where predictive analysis is applied. Seven steps are introduced with a view to integrating predictive analysis into the IT infrastructure of general cargo warehouses. These steps are described in detail. The CRISP4BigData model, the SVM data mining algorithm, the data mining tool R, the programming language C++ for the scoring in general cargo warehouses represent the results of this paper. After having created the system and installed it in general cargo warehouses, initial results obtained with this method over a certain time span will be compared with results obtained without this method through manual recording over the same period.

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