Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Fiorella de Rosis"'
Publikováno v:
Affective Computing and Intelligent Interaction ISBN: 9783540748885
ACII
ACII
We propose a method to recognize the 'social attitude' of users towards an Embodied Conversational Agent (ECA) from a combination of linguistic and prosodic features. After describing the method and the results of applying it to a corpus of dialogues
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb7e48b462a8e17baabb881ecc0fc611
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/68127
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/68127
Autor:
Sandra Carberry1, Fiorella de Rosis2
Publikováno v:
User Modeling & User-Adapted Interaction. Feb2008, Vol. 18 Issue 1/2, p1-9. 9p.
Publikováno v:
Journal of Pragmatics. 42:2385-2397
We describe how the interaction mode with an embodied conversational agent (ECA) affects the users’ perception of the agent and their behavior during interaction, and propose a method to recognize the social attitude of users towards the agent from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2602182e09bf429467c75227913e807b
https://doi.org/10.1016/j.pragma.2009.12.016
https://doi.org/10.1016/j.pragma.2009.12.016
Publikováno v:
International Journal of Human-Computer Studies. 63:304-327
The aim of this study was to empirically evaluate an embodied conversational agent called GRETA in an effort to answer two main questions: (1) What are the benefits (and costs) of presenting information via an animated agent, with certain characteris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fac7dee9917324545b12e09c22e3315f
https://doi.org/10.1016/j.ijhcs.2005.03.006
https://doi.org/10.1016/j.ijhcs.2005.03.006
Autor:
Fiorella de Rosis
Publikováno v:
Interaction Studies. 5:303-311
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e4164e789943fcac3d620e7aac29d1e
https://doi.org/10.1075/is.5.2.08ros
https://doi.org/10.1075/is.5.2.08ros
Can Computers Deliberately Deceive? A Simulation Tool and Its Application to Turing's Imitation Game
Publikováno v:
Computational Intelligence. 19:235-263
In this paper, we describe how agents can deceive within a probabilistic framework for representing their mental state: in doing so, we challenge the so-called sincerity assumption in Human–Computer interaction (HCI) and multi-agent systems (MAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::872d96935bdfb27aa805bc781dfb95cc
https://doi.org/10.1111/1467-8640.00223
https://doi.org/10.1111/1467-8640.00223
Autor:
Sandra Carberry, Cristina Conati, Fiorella De Rosis, Piotr Gmytrasiewicz, Eva Hudlicka, Mitsuru Ishizuka, Christine Lisetti, Andrew Ortony, Helmut Prendinger, William Revelle
Publikováno v:
Applied Artificial Intelligence. 16:643-670
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::302d8af30b47a194a5607a58f61df2f5
https://doi.org/10.1080/08839510290030426
https://doi.org/10.1080/08839510290030426
Autor:
Fiorella de Rosis
Publikováno v:
Applied Artificial Intelligence. 16:487-494
Will affective aspects of reasoning become a major component of Artificial Intelligent Agencies or should the increasing number of initiatives in this domain be considered as a short lived interest that will be abandoned in favor of new topics?
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::558b85d81a74adb66e78dbd0dc0df6b0
https://doi.org/10.1080/08839510290030363
https://doi.org/10.1080/08839510290030363
Autor:
Fiorella de Rosis
Publikováno v:
User Modeling and User-Adapted Interaction. 11:267-278
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9439b30d59e900d8dedcb977c21e0a20
https://doi.org/10.1023/a:1011868232549
https://doi.org/10.1023/a:1011868232549
Publikováno v:
Artificial Intelligence in Medicine. 17:1-36
In this paper, we describe how user-adapted explanations about drug prescriptions can be generated from already existing data sources. We start by illustrating the two-step approach employed in the first version of the natural language generator and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f242622db411a779d6f270b599041b9
https://doi.org/10.1016/s0933-3657(99)00014-7
https://doi.org/10.1016/s0933-3657(99)00014-7