Developing enhanced conversational agents for social virtual worlds
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Great efforts are being made in this promising research field to create natural 'human-like' conversations, including the exploration of conversational robots and voice-based systems for supporting cognitive impaired individuals.
“Nevertheless, great efforts are being made in this promising research field to create natural ‘human-like’ conversations (Harms et al., 2018; Griol et al., 2019) 6 , including the exploration of conversational robots and voice-based systems for supporting cognitive impaired individuals (Cruz-Sandoval et al., 2020; Pou-Prom et al., 2020; Salichs et al., 2020).”
From Robotic Telemedicine for Mental Health: A Multimodal Approach to Improve Human-Robot Engagement (2021) · cites this paper as Griol et al., 2019
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 80 · Cited by 32
Research works printed but not linked: 10
- B. Nelson, B. Erlandson, Design for learning in Virtual Worlds: Interdisci- plinary approaches to educational technology, Routledge, 2014.
- E. LaPensee, J. Lewis, Nonverbal Communication in Virtual Worlds: Under- standing and Designing Expressive Characters, ETC Press, 2014, Ch. Time- Traveller: first nations nonverbal communication in Second Life, pp. 105-119.
- D. Kirschner, J. Williams, Nonverbal Communication in Virtual Worlds: Un- derstanding and Designing Expressive Characters, ETC Press, 2014, Ch. A microsociological perspective on non-verbal communicative strategies in MMORPGS, pp. 307-322.
- T. Bickmore, J. Cassell, Advances in Natural Multimodal Dialogue Systems, Springer, 2005, Ch. Social Dialongue with Embodied Conversational Agents, pp. 23-54.
- J. Martin, Nonverbal Communication in Virtual Worlds: Understanding and Designing Expressive Characters, ETC Press, 2014, Ch. A few choice ani- mations: nonverbal communication through production and consumption in Second Life, pp. 291-305.
- R. Hoffmann, Speech Synthesis: An Introduction for Engineers (Signals and Communication Technology), Springer, 2012.
- D. E. Rumelhart, G. E. Hinton, R. J. Williams, PDP: Computational mod- els of cognition and perception, I, MIT Press, 1986, Ch. Learning internal representations by error propagation, pp. 319-362.
- F. Burkhardt, M. van Ballegooy, K. Engelbrecht, T. Polzehl, J. Stegmann, Emotion detection in dialog systems -Usecases, strategies and challenges, in: Proc. of International Conference on Affective Computing and Intelligent Interaction (ACII'09), 2009, pp. 1-6.
- Z. Callejas, R. López-Cózar, Implementing modular dialogue systems: a case study, in: Proc. of Applied Spoken Language Interaction in Distributed En- vironments (ASIDE'05), Aalborg, Denmark, 2005, pp. 1-4.
- M. Dinarelli, Spoken language understanding: from spoken utterances to se- mantic structures, Ph.D. thesis, University of Trento, Trento (Italy) (2010).
- Authors
- Griol, D., Sanchis, A., Molina, J. M., & Callejas, Z.
- Affiliations
- Universidad Carlos III de Madrid (ES)
- Universidad de Granada (ES)
- Corresponding author
- Griol, David
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 354
- Pages
- 27-40
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2941344574
- Cited by
- 32
- References
- 80
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 4 · 2023: 3 · 2022: 11 · 2021: 5 · 2020: 1 · 2019: 1
- FWCI
- 2.08
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Neurocomputing (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by-nc-nd)
- Institutional Repository of the University of Granada (University of Granada) (submittedVersion, cc-by-nc-nd)
- e-Archivo (Carlos III University of Madrid) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- embodied conversational agents, social virtual worlds, multimodal communication, voice interaction, affective computing, user modeling, response selection, Second Life, avatars, adaptive dialogue
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
