LEADER 04940nam 2200673 450 001 9910822846203321 005 20230126213750.0 010 $a90-272-6764-2 035 $a(CKB)3710000000532845 035 $a(EBL)4198273 035 $a(SSID)ssj0001593160 035 $a(PQKBManifestationID)16289232 035 $a(PQKBTitleCode)TC0001593160 035 $a(PQKBWorkID)14808357 035 $a(PQKB)11313096 035 $a(PQKBManifestationID)16162813 035 $a(PQKBWorkID)14808358 035 $a(PQKB)23261840 035 $a(MiAaPQ)EBC4198273 035 $a(DLC) 2015040609 035 $a(EXLCZ)993710000000532845 100 $a20151014h20152015 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGaze in human-robot communication /$fedited by Frank Broz, Heriot-Watt University [and three others] 210 1$aAmsterdam ;$aPhiladelphia :$cJohn Benjamins Publishing Company,$d[2015] 210 4$d©2015 215 $a1 online resource (178 p.) 225 1 $aBenjamins current topics,$x1874-0081 ;$vvolume 81 300 $a"These materials were previously published in Interaction studies 14:3 (2013)." 311 $a90-272-4269-0 320 $aIncludes bibliographical references and index. 327 $aGaze in Human-Robot Communication; Editorial page; Title page; LCC data; Table of contents; Introduction to the Special Issue on Gaze in human-robot communication; 1. Introduction; 1.1 Gaze in human communication; 1.2 Gaze in human-agent interaction; 1.3 Gaze and human-robot communication; 2. The Special Issue; References; Design of a gaze behavior at a small mistake moment for a robot; 1. Introduction; 2. Data collection; 3. Experiments; 3.1 Hypotheses and predictions about apologies; 3.2 Hypotheses and prediction for friendliness and dissatisfaction 327 $a3.2.1 Hypothesis that assumes advantages of looking down3.2.2 Hypothesis that assumes advantages of looking at the other; 3.3 Participants; 3.4 Tasks; 3.5 Robot; 3.6 Conditions; 3.7 Procedure; 3.8 Measurement; 4. Results; 4.1 Verification of prediction 1; 4.2 Verification of prediction 2; 4.3 Verification of prediction 3; 5. Discussion; 5.1 Analysis of free descriptions; 5.2 Responsiveness to mistakes; 6. Conclusion; Acknowledgements; References; Robots can be perceived as goal-oriented agents; 1. Introduction; 2. Methods; 2.1 Subjects; 2.2 Action demonstrators; 2.2.1 The human demonstrator 327 $a2.3 The humanoid robot2.4 Experimental paradigm; 2.5 Data Analysis; 3. Results; 4. Discussion; Acknowledgments; References; Can infants use robot gaze for object learning?; 1. Introduction; 2. Experiment 1; 2.1 Method; 2.1.1 Participants; 2.1.2 Apparatus; 2.1.3 Stimuli and procedure; 2.1.4 Data analysis; 2.2 Results and discussion; 3. Experiment 2; 3.1 Method; 3.1.1 Participants; 3.1.2 Stimuli and procedure; 3.1.3 Results and discussion; 4. General Discussion; Acknowledgements; References; Interactions between a quiz robot and multiple participants; 1. Introduction 327 $a2. Background of this study2.1 Cross-cultural communicative differences: Word order; 2.2 Coordination of verbal and non-verbal actions and questioning strategy; 3. The present experiment: A quiz robot in Japanese and English; 3.1 Robot System; 3.2 Experimental setup; 3.3 Experimental stimuli; 4. Initial analysis; 5. Detailed analysis; 5.1 Comparing responses during the keyword (in Q3); 5.2 Comparing responses to tag-part of a tag-question (in Q6); 6. Discussion and Conclusion; Acknowledgement; References; Cooperative gazing behaviors in human multi-robot interaction; 1. Introduction 327 $a2. A human multi-robot multimodal interactive paradigm2.1 Gaze-Contingent platform; 2.2 Experiment design; 2.3 Hypotheses; 2.4 Experimental procedure; 2.5 Data collection; 2.6 Validation of the gaze-contingent interaction system; 3. Results; 3.1 Eye movements; 3.2 Speech acts; 3.3 Attention dynamics around naming moments; 4. General discussions; 4.1 Gaze cue in human multi-robot interaction; 4.2 Micro-level mutual reflexivity; 5. Conclusion; Acknowledgements; References; Learning where to look Autonomous development of Gaze behavior for natural Human-Robot Interaction; 1. Introduction 327 $a2. Reactive Gaze Controller 410 0$aBenjamins current topics ;$vvolume 81. 606 $aHuman-robot interaction 606 $aGaze$xPsychological aspects 606 $aRobotics$xSocial aspects 606 $aAndroids 615 0$aHuman-robot interaction. 615 0$aGaze$xPsychological aspects. 615 0$aRobotics$xSocial aspects. 615 0$aAndroids. 676 $a629.8/92019 702 $aBroz$b Frank 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822846203321 996 $aGaze in human-robot communication$93913590 997 $aUNINA LEADER 01836nam0 2200409 i 450 001 LO10400332 005 20251003044210.0 010 $a8802050422 020 $aIT$b97-2375 100 $a20130827d1996 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aAtti del procedimento penale$eforma e struttura$fcontributi di GiuseppeDi Chiara ... [et al.!$gcoordinati da Enrico Marzaduri 210 $aTorino$cUTET$d[1996! 215 $aXI, 251 p.$d25 cm. 225 | $aGiurisprudenza sistematica di diritto processuale penale 410 0$1001RMG0018832$12001 $aGiurisprudenza sistematica di diritto processuale penale 606 $aAtti processuali penali$2FIR$3CFIC001478$9I 676 $a345.4505$9PROCEDURA PENALE. ITALIA$v21 676 $a345.4507$9PROCESSO PENALE. ITALIA$v20 676 $a345.4507$9PROCESSO PENALE. ITALIA$v22 702 1$aChiavario$b, Mario$3CFIV008349 702 1$aMarzaduri$b, Enrico$3CFIV056739 702 1$aDi Chiara$b, Giuseppe$f <1964- >$3MILV116187 790 1$aDi Chiara$b, G.$f <1964- >$3CFIV369326$zDi Chiara, Giuseppe <1964- > 801 3$aIT$bIT-000000$c20130827 850 $aIT-BN0095 $aIT-AV0007 901 $bNAP 01$cD $n$ 901 $bNAP AV$cSALA C $nSala consultazione 901 $bNAP AV$cSEZ. M $nSezione Moderna 912 $aLO10400332 950 0$aBiblioteca Centralizzata di Ateneo$c1 v.$d 01D (AR) 20 666$e 01AR 0700206665 VMA A4 1 v.$fY $h19970317$i20181029$c1 v. in due copie$d 01D (AR) 21 584$e 01AR 0700215845 VMA A4(bis 1 v. (2. copia)$fY $h19970825$i20181105 977 $a 01$a AV 996 $aAtti del procedimento penale$9195041 997 $aUNISANNIO LEADER 04335nam 22008655 450 001 9910298551803321 005 20250903132328.0 010 $a3-319-04376-5 024 7 $a10.1007/978-3-319-04376-0 035 $a(CKB)3710000000094982 035 $a(EBL)1698159 035 $a(OCoLC)881166108 035 $a(SSID)ssj0001186019 035 $a(PQKBManifestationID)11778889 035 $a(PQKBTitleCode)TC0001186019 035 $a(PQKBWorkID)11217421 035 $a(PQKB)11327693 035 $a(MiAaPQ)EBC1698159 035 $a(DE-He213)978-3-319-04376-0 035 $a(PPN)177825464 035 $a(EXLCZ)993710000000094982 100 $a20140326d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDisadvantaged Workers $eEmpirical Evidence and Labour Policies /$fedited by Miguel Ángel Malo, Dario Sciulli 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (324 p.) 225 1 $aAIEL Series in Labour Economics,$x1863-916X 300 $aDescription based upon print version of record. 311 08$a3-319-04375-7 320 $aIncludes bibliographical references. 327 $aPart I Disabled people in the labour market -- Part II Young workers in the labour market -- Part III Women, migrants and long-term unemployed. 330 $aThis book includes empirical contributions focusing on disadvantaged workers. According to the European Commission?s definition, disadvantaged workers include categories of workers with difficulties entering the labour market without assistance and, hence, requiring the application of public measures aimed at improving their employment opportunities. In addition to the labour market perspective, this is also relevant in terms of social cohesion, which is one of the central objectives of the European Union and of its Member States. This work deals with the most relevant groups of disadvantaged workers, namely disabled workers, young workers, women living in depressed areas, migrants in the labour market and the long-term unemployed, and analyses the situation in the Italian, Spanish and some African labour markets. The determinants of disadvantage in the labour market are investigated, highlighting both the role of supply variables, including structural factors, and the weakness on the demand side, the role of the economic crisis, and the ineffectiveness of some labour policies. A complex framework emerges in which disadvantaged groups may share common problems, both in terms of integration into the labour market and in terms of working conditions, but often require group-specific policies, taking into account their intergroup heterogeneity. 410 0$aAIEL Series in Labour Economics,$x1863-916X 606 $aLabor economics 606 $aEconomic policy 606 $aSocial policy 606 $aLabor Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W37000 606 $aEconomic Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/W34010 606 $aSocial Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/W34020 606 $aMercat de treball$2thub 606 $aPolítica laboral$2thub 606 $aPersones amb discapacitat$2thub 606 $aJoves$2thub 606 $aDones$2thub 606 $aMigrants$2thub 606 $aAturats$2thub 608 $aLlibres electrònics$2thub 615 0$aLabor economics. 615 0$aEconomic policy. 615 0$aSocial policy. 615 14$aLabor Economics. 615 24$aEconomic Policy. 615 24$aSocial Policy. 615 7$aMercat de treball 615 7$aPolítica laboral 615 7$aPersones amb discapacitat 615 7$aJoves 615 7$aDones. 615 7$aMigrants 615 7$aAturats 676 $a331.59 702 $aMalo$b Miguel A?ngel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSciulli$b Dario$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298551803321 996 $aDisadvantaged Workers$92546085 997 $aUNINA