<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Christian Lang</style></author><author><style face="normal" font="default" size="100%">Hanheide, Marc</style></author><author><style face="normal" font="default" size="100%">Lohse, Manja</style></author><author><style face="normal" font="default" size="100%">Heiko Wersing</style></author><author><style face="normal" font="default" size="100%">Gerhard Sagerer</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Feedback Interpretation based on Facial Expressions in Human-Robot Interaction</style></title><secondary-title><style face="normal" font="default" size="100%">International Symposium on Robot and Human Interactive Communication (RO-MAN)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CoR-Lab Publication</style></keyword><keyword><style  face="normal" font="default" size="100%">Facial Expressions</style></keyword><keyword><style  face="normal" font="default" size="100%">Feedback Interpretation</style></keyword><keyword><style  face="normal" font="default" size="100%">User Study</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">27/12/2009</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Toyama, Japan</style></pub-location><pages><style face="normal" font="default" size="100%">189-194</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In everyday conversation besides speech people also communicate by means of nonverbal cues. Facial expressions are one important cue, as they can provide useful information about the conversation, for instance, whether the interlocutor seems to understand or appears to be puzzled. Similarly, in human-robot interaction facial expressions also give feedback about the interaction situation. We present a Wizard of Oz user study in an object-teaching scenario where subjects showed several objects to a robot and taught the objects' names. Afterward, the robot should term the objects correctly. In a first evaluation, we let other people watch short video sequences of this study. They decided by looking at the face of the human whether the answer of the robot was correct (unproblematic situation) or incorrect (problematic situation). We conducted the experiments under specific conditions by varying the amount of temporal and visual context information and compare the results with related experiments described in the literature.&lt;/p&gt;</style></abstract></record></records></xml>