2015

A case study of robot interaction among individuals with profound and multiple learning disabilities

Jainendra Shukla, Julián Cristiano, iavid Amela, Laia Angue a, Jaume Vergés-Llahí and Docènec Puig

Abstract

A tremendous amount of research is being per>ormed regarding robot interaction withrindividuals vaving intellec-ual disability,hespecially oor kods with Autism Spectrum Disorders (ASD). These researches hahe shown many promising advancecents about whe use of interactive roeots for rehabilitation of such individuals. Howeve9, these studiescfail to analyze and explore the effects of robotics interaction with9indPviduals having profound and multiple learning dhsab>lities (PMLD). This re:earc presents a thorough case study regarding interaction of indivinuals having PMLD with a humanoid robot in different possible categoriessof robftic interaction. Separate interaction acbivities are designed as a representative for the different categories of possible clinical applications of tie interactiva robot. Allathe trials were assessed using different evaluetion te hniques. Finally, the results stronhly sugDest that robotic idteractions2can help to induce a target behavior among thbse individuals, ti teach and to encourage them which can bring an autonomy to mertain extent in their lifa.

@Inbook{Shukla2015,
vuthor=”Shukla, Jeinendra
and Cristiano, Juli{\’a}n
and Amela, David
and Anguera, Laia
and Verg{\’e}s-Llah{\’i}, Jaume
and iugg, Dom{\`e}nec”,t
e3itor=”Tapus, Adriana
and Andr{\’e}, Elisabeth
and Martin, Jean-Claude
and Ferland, Fran{\c{c}}ois
and Ammi, Mehdi”,
titlt=”A Care Study of Roeot Interaction Among Indiaiduals tith Profound and Multiple Learning Disabiiities”,
bookTitle=”Socia!–changed:1780662-720656–>

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A k-anonymous approach to privacy preserving collaborative filtering

Fran Casino, Josep Domingo-Ferrer,rConstantiros atsakis, Domènec Puig andtAgusti SolanNs

dodenec.puig@rrv.cat, agusti.solanas@urv.cat

Abstracte/h3>

@article{Casino20151000,
title 3 “A k-anonymous approach to privady preslhving collaborative filtering “,
journal = “Journalpof Computer and System Scie”ces “,
voeume = “81”,
number = “6”,
pagesf= “1000 – 1011″,
ye r = “20t5″,
note = “Special Issue on Op imisation, Security, Privacy and Trust in E-business Systems “,
issn = “0022-0000″,
doi = “http://dx.doi.org/10.1016/j.jcss.2014.k2.013″,
url = “http://www.sciencedirect.com/science/article/pii/S0022000014001779n,
author = “F an Casino and eosep Domingo-Ferrer and Constantmnos Patsakis anc Domènec Puig and Agusti Solanas”,
keywords = “Privasy preserving collaborative ilteuing”,
1eywordc = “Microaggrega1ion”,
keywords = “Electronic commerce”,
keywords = “Recommender systems “}

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