EVALUATION OF ECA GESTURE STRATEGIES FOR ROBUST HUMAN-MACHINE INTERACTION
| Autor: | María del Carmen Rodríguez Gancedo, Beatriz López Mencía, José Relaño Gil, Luis A. Hernández Gómez, David Díaz Pardo de Vera, Álvaro Hernández Trapote |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Linguistics and Language
InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Computer Networks and Communications Computer science 02 engineering and technology computer.software_genre Fluency Artificial Intelligence Human–computer interaction Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Sensory cue 060201 languages & linguistics Telecomunicaciones business.industry 06 humanities and the arts Computer Science Applications Embodied cognition Human machine interaction 0602 languages and literature 020201 artificial intelligence & image processing Artificial intelligence business computer Software Natural language processing Information Systems Gesture |
| Zdroj: | The International Journal Of Semantic Computing, ISSN 1793-351X, 2008-03, Vol. 2, No. 1 Archivo Digital UPM Universidad Politécnica de Madrid |
| ISSN: | 1793-7108 1793-351X |
| DOI: | 10.1142/s1793351x08000373 |
| Popis: | Embodied Conversational Agents (ECAs) offer us the possibility to design pleasant and efficient human-machine interaction. In this paper we present an evaluation scheme to compare dialogue-based speaker authentication and information retrieval systems with and without ECAs on the interface. We used gestures and other visual cues to improve fluency and robustness of interaction with these systems. Our tests results suggest that when an ECA is present users perceive fewer system errors, their frustration levels are lower, turn-changing goes more smoothly, the interaction experience is more enjoyable, and system capabilities are generally perceived more positively than when no ECA is present. However, the ECA seems to intensify the users' privacy concerns. |
| Databáze: | OpenAIRE |
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