I feel you: the design and evaluation of a domotic affect-sensitive spoken conversational agent

Lebai Lutfi, Syaheerah Binti and Fernández Martínez, Fernando and Lorenzo Trueba, Jaime and Barra Chicote, Roberto and Montero Martínez, Juan Manuel (2013). I feel you: the design and evaluation of a domotic affect-sensitive spoken conversational agent. "Sensors", v. 13 (n. 8); pp. 10519-10538. ISSN 1424-8220. https://doi.org/10.3390/s130810519.

Description

Title: I feel you: the design and evaluation of a domotic affect-sensitive spoken conversational agent
Author/s:
  • Lebai Lutfi, Syaheerah Binti
  • Fernández Martínez, Fernando
  • Lorenzo Trueba, Jaime
  • Barra Chicote, Roberto
  • Montero Martínez, Juan Manuel
Item Type: Article
Título de Revista/Publicación: Sensors
Date: August 2013
Volume: 13
Subjects:
Freetext Keywords: Spoken conversational agents; affect prediction; domotic applications; affective agents; frustration; contentment; conversational features; user satisfaction; emotion model; emotion design and evaluation
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We describe the work on infusion of emotion into a limited-task autonomous spoken conversational agent situated in the domestic environment, using a need-inspired task-independent emotion model (NEMO). In order to demonstrate the generation of affect through the use of the model, we describe the work of integrating it with a natural-language mixed-initiative HiFi-control spoken conversational agent (SCA). NEMO and the host system communicate externally, removing the need for the Dialog Manager to be modified, as is done in most existing dialog systems, in order to be adaptive. The first part of the paper concerns the integration between NEMO and the host agent. The second part summarizes the work on automatic affect prediction, namely, frustration and contentment, from dialog features, a non-conventional source, in the attempt of moving towards a more user-centric approach. The final part reports the evaluation results obtained from a user study, in which both versions of the agent (non-adaptive and emotionally-adaptive) were compared. The results provide substantial evidences with respect to the benefits of adding emotion in a spoken conversational agent, especially in mitigating users' frustrations and, ultimately, improving their satisfaction.

More information

Item ID: 26035
DC Identifier: http://oa.upm.es/26035/
OAI Identifier: oai:oa.upm.es:26035
DOI: 10.3390/s130810519
Official URL: http://www.mdpi.com/1424-8220/13/8/10519
Deposited by: Memoria Investigacion
Deposited on: 17 May 2014 08:50
Last Modified: 22 Sep 2014 11:39
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