Eugenio Alberdi | City, University of London (original) (raw)

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Papers by Eugenio Alberdi

... Generalization by Studying Examples Versus Generalization by Applying Examples to Problems Ri... more ... Generalization by Studying Examples Versus Generalization by Applying Examples to Problems Richard Catrambone 214 Words and Worlds: The Construction of ... Spelling Mapping in English and Its Role in Word and Nonword Spelling George Houghton and Marco Zorzi 490 ...

Either your web browser doesn't support Javascript or it is currently turned off. In the lat... more Either your web browser doesn't support Javascript or it is currently turned off. In the latter case, please turn on Javascript support in your web browser and reload this page. ... Accommodating surprise in taxonomic tasks : a psychological and computational investigation.

Routledge eBooks, May 10, 2022

Lecture Notes in Computer Science, 2009

In many applications of computerised decision support, a recognised source of undesired outcomes ... more In many applications of computerised decision support, a recognised source of undesired outcomes is operators' apparent over-reliance on automation. For instance, an operator may fail to react to a potentially dangerous situation because a computer fails to generate an alarm. However, the very use of terms like "over-reliance" betrays possible misunderstandings of these phenomena and their causes, which may lead to ineffective corrective action. For instance, training or procedural changes are favored responses, but they do not address all causes of apparently "over-reliant" behaviour. We review relevant literature in the area of "automation bias" and describe the diverse mechanisms that may be involved in human errors when using computer support. We discuss these mechanisms, with reference to errors of omission when using "alerting systems", with the help of examples of novel counterintuitive findings we obtained from a case study in a health care application, as well as other examples from the literature.

International Congress Series, 2003

International Journal of Computer Assisted Radiology and Surgery, 2008

Proceedings. AMIA Symposium, 2000

CADMIUM II is a system for the interpretation of mammograms. A novel aspect of the system is that... more CADMIUM II is a system for the interpretation of mammograms. A novel aspect of the system is that it combines symbolic reasoning with image processing, in contrast with most other approaches, which use only image processing and rely on artificial neural networks (ANNs) to classify mammograms. A problem of ANNs is that the advice they give cannot be traced back to communicable diagnostic inferences. Our approach is to provide advice based on explicit knowledge about the diagnostic process. To this end, we have conducted a knowledge elicitation study which looked at the descriptors used by expert radiologists when making diagnostic decisions about mammograms. The analysis of the radiologists' reports yielded a set of salient diagnostic features. These were used to inform the advice provided by the symbolic decision making component of CADMIUM II.

We studied the impact of a Computer Aided Detection (CAD) tool on human's decisions in mammog... more We studied the impact of a Computer Aided Detection (CAD) tool on human's decisions in mammography. We used data from an independent clinical trial, which compared the average performance of breast screening professionals with and without CAD. Standard analyses of these data showed no statistically significant effect of CAD's output on humans' cancer detection rate. We conducted statistical modelling and supplementary analyses of these data focusing on the role of the correctness of the computer output and the variation of the difficulty of decisions. These analyses provided counter-intuitive results: e.g., incorrect output from CAD was likely to increase the difficulty of difficult-to-detect cancers; at the same time, correct computer output systematically improved human decisions for easy-to-detect cancers. Our findings indicate that, even when its average impact in a trial is zero, computer support can have non-obvious systematic effects on human performance which are...

Title: CAD in mammography: lesion-level vs. case-level analysis of the effects of prompts on huma... more Title: CAD in mammography: lesion-level vs. case-level analysis of the effects of prompts on human decisions Abstract OBJECT: To understand decision processes in CAD-supported breast screening by analysing how prompts affect readers' judgements of individual mammographic features (lesions). To this end we analysed hitherto unexamined details of reports completed by mammogram readers in an earlier evaluation of a CAD tool. Assessments of lesions were extracted from 2889 reports for 59 cancer cases. Statistical analyses of these data focused on what features readers considered when recalling a cancer case and how readers reacted to CAD prompts. RESULTS: 13.5% of recall decisions were found to be caused by responses to features other than those indicating actual cancer. Effects of CAD: lesions were more likely to be examined if prompted; the presence of a prompt on a cancer increased the probability of both detection and recall especially for less accurate readers in more subtle ca...

This document gives brief descriptions for a number of Machine Discovery and Knowledge Based Refi... more This document gives brief descriptions for a number of Machine Discovery and Knowledge Based Refinement Systems which have recently been developed. Further, it gives an indication of their application domains. The systems described are: DaViCAND, MedMine, REFINER+, RETAX, STALKER and TIGON. Principal Contact: Professor Derek Sleeman Phone: +44(0)1224 272288 Fax: +44(0)1224 273422 email: dsleeman@csd.abdn.ac.uk www: http://www.csd.abdn.ac.uk/~sleeman /sleeman.html

In Yaffe M Fifth International Workshop on Digital Mammography Medical Physics Publishing Madison Wisconsin, 2000

In Cadmium Ii Acquisition and Representation of Radiological Knowledge For Computerized Decision Support in Mammography, 2000

In Proceedings of the Medical Image Tutoring Workshop Ai Ed 99, 1999

In Iwdm 2000 5th International Workshop on Digital Mammography, 2001

Engineering Psychology and Cognitive Ergonomics: Integration of Theory and Application, 1997

Filipe Soares1, 2, Filipe Janela1, João Seabra1, Manuela Pereira2, Mário M. Freire2 1Siemens SA H... more Filipe Soares1, 2, Filipe Janela1, João Seabra1, Manuela Pereira2, Mário M. Freire2 1Siemens SA Healthcare Sector, Matosinhos, Portugal 2Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal Keywords ...

: This document gives brief descriptions for a number of Machine Discovery and Knowledge Based Re... more : This document gives brief descriptions for a number of Machine Discovery and Knowledge Based Refinement Systems which have recently been developed. Further, it gives an indication of their application domains. The systems described are: DaViCAND, MedMine, REFINER+, RETAX, STALKER and TIGON. Principal Contact: Professor Derek Sleeman Phone: +44(0)1224 272288 Fax: +44(0)1224 273422 email: dsleeman@csd.abdn.ac.uk www: http://www.csd.abdn.ac.uk/~sleeman/sleeman.html [Jan 1997] -2DAVICCAND DaViCCAND (short for Data VIsualisation, Clustering and Conceptually Analysing Noisy Data) is a tool designed to help a domain expert in the setting up, testing and validating of domain hypotheses. DaViCCAND allows the user to display his data on the screen and to manipulate and examine the data in a variety of ways. DaViCCAND does this by plotting data points and providing facilities to manipulate the data. Groups of points can be created in terms of ranges of variable attributes (or descriptors or...