Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen: doi:10.22028/D291-44285
Titel: Towards efficient human-machine collaboration: effects of gaze-driven feedback and engagement on performance
VerfasserIn: Mitev, Nikolina
Renner, Patrick
Pfeiffer, Thies
Staudte, Maria
Sprache: Englisch
Titel: Cognitive research: principles and implications
Bandnummer: 3
Heft: 1
Verlag/Plattform: Springer
Erscheinungsjahr: 2018
Freie Schlagwörter: Human–computer interaction
Natural language generation
Listener gaze
Referential success
Multimodal systems
DDC-Sachgruppe: 400 Sprache, Linguistik
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Referential success is crucial for collaborative task-solving in shared environments. In face-to-face interactions, humans, therefore, exploit speech, gesture, and gaze to identify a specific object. We investigate if and how the gaze behavior of a human interaction partner can be used by a gaze-aware assistance system to improve referential success. Specifically, our system describes objects in the real world to a human listener using on-the-fly speech generation. It continuously interprets listener gaze and implements alternative strategies to react to this implicit feedback. We used this system to investigate an optimal strategy for task performance: providing an unambiguous, longer instruction right from the beginning, or starting with a shorter, yet ambiguous instruction. Further, the system provides gaze-driven feedback, which could be either underspecified ("No, not that one!") or contrastive ("Further left!"). As expected, our results show that ambiguous instructions followed by underspecified feedback are not beneficial for task performance, whereas contrastive feedback results in faster interactions. Interestingly, this approach even outperforms unambiguous instructions (manipulation between subjects). However, when the system alternates between underspecified and contrastive feedback to initially ambiguous descriptions in an interleaved manner (within subjects), task performance is similar for both approaches. This suggests that listeners engage more intensely with the system when they can expect it to be cooperative. This, rather than the actual informativity of the spoken feedback, may determine the efficiency of information uptake and performance.
DOI der Erstveröffentlichung: 10.1186/s41235-018-0148-x
URL der Erstveröffentlichung: https://cognitiveresearchjournal.springeropen.com/articles/10.1186/s41235-018-0148-x
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-442858
hdl:20.500.11880/39618
http://dx.doi.org/10.22028/D291-44285
ISSN: 2365-7464
Datum des Eintrags: 10-Feb-2025
Fakultät: P - Philosophische Fakultät
Fachrichtung: P - Sprachwissenschaft und Sprachtechnologie
Professur: P - Keiner Professur zugeordnet
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Dateien zu diesem Datensatz:
Datei Beschreibung GrößeFormat 
s41235-018-0148-x.pdf4,11 MBAdobe PDFÖffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons