Evaluation of affective state estimations using an on-line reporting device during human-robot interactions

Susana Zoghbi, Dana Kulić, Elizabeth Croft, Mike Van Der Loos

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

5 Citations (Scopus)

Abstract

In order to develop a friendly and safe interaction between humans and robots, it is essential for the robot to evaluate user's affective states and respond accordingly. However, affective states are typically assessed using offline questionnaires and user reports. In this paper we investigate the use of an online-device for collecting real-time user reports of affective state during interaction with a robot. These reports are compared to both previous survey reports taken after the interaction, and the affective states estimated by an inference system. The aim is to evaluate and characterize the physiological signal-based inference system and determine which factors significantly influence its performance. This analysis will be used in future work, to fine tune the affective estimations by identifying what kind of variations in physiological signals precede or accompany the variations in reported affective states.

Original languageEnglish
Title of host publication2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
Pages3742-3749
Number of pages8
DOIs
Publication statusPublished - 11 Dec 2009
Externally publishedYes
EventIEEE/RSJ International Conference on Intelligent Robots and Systems 2009 - St. Louis, United States of America
Duration: 11 Oct 200915 Oct 2009
https://ieeexplore.ieee.org/xpl/conhome/5342790/proceeding (Proceedings)

Conference

ConferenceIEEE/RSJ International Conference on Intelligent Robots and Systems 2009
Abbreviated titleIROS 2009
CountryUnited States of America
CitySt. Louis
Period11/10/0915/10/09
Internet address

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