The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
The Humanoid Robot NAO as Trainer in a Memory Program for Elderly People with Mild Cognitive Impairment
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
SUS: A 'Quick and Dirty' Usability Scale
(1996) · Usability Evaluation In Industry · doi:10.1201/9781498710411-35 · Cited by 8,989
Gauthier, S. G., Reisberg, ., Zaudig, M., Petersen, R. C., Ritchie, K. A., Broich, K., Belleville, S., Brodaty, H., Bennett, D. A., Chertkow, H. M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68542-5 · Cited by 4,094
State-Trait Anxiety Inventory for Adults
Spielberger, C. D. (2012) · PsycTESTS Dataset · doi:10.1037/t06496-000 · Cited by 3,479
A unifying view of the basis of social cognition
GALLESE, V, KEYSERS, C., & RIZZOLATTI, G. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.07.002 · Cited by 2,236
Verbal and spatial immediate memory span: Normative data from 1355 adults and 1112 children
Orsini, A., Grossi, D., Capitani, E., Laiacona, M., Papagno, C., & Vallar, G. (1987) · Neurological Sciences · doi:10.1007/bf02333660 · Cited by 836
The anthropomorphic brain: The mirror neuron system responds to human and robotic actions
Gazzola, V., Rizzolatti, G., Wicker, B., & Keysers, C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.003 · Cited by 748
(2003) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-1-14 · Cited by 640
Assessment of Memory Complaint in Age-Associated Memory Impairment: The MAC-Q
Crook, T. H., Feher, E. P., & Larrabee, G. J. (1992) · International Psychogeriatrics · doi:10.1017/s1041610292000991 · Cited by 434
Robots at home: Understanding long-term human-robot interaction
Kidd, C. D., & Breazeal, C. (2008) · 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2008.4651113 · Cited by 332
McDuff, D., Mahmoud, A., Mavadati, M., Amr, M., Turcot, J., & el Kaliouby, R. (2016) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2851581.2890247 · Cited by 298
Research works printed but not linked: 3
- Bäck I, Makela K, Kallio J (2013) Robot-guided exercise program for the rehabilitation of older nursing home residents. Annal Long Term Care 21(6):38–41
- Gollin D, Ferrari A, Peruzzi A (2007) Una palestra per la mente. stimolazione cognitiva per l’invecchiamento cerebrale e le demenze. Edizioni Erickson, Trento
- Spinnler H (1987) Standardizzazione e taratura italiana di test neuropsicologici. Ital J NeurolSci 6:21–120
Cited by
Sorted by citations
Items 101–120 of 120
Designing Adaptive Behavior in a Social Robot
Zedda, E. (2020) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3379336.3381510 · Cited by 1
Sistema para interação psicológica infantil intermediado por um robô humanóide
Godoi, D. H. (2023) · doi:10.11606/d.55.2023.tde-05062023-153534 · Cited by 1
The Vision of Students of Their Professional Activities in the Industry 4.0
Коропец, О. А., Detkova, I., Leontyeva, A. V., & Ovchinnikov, A. S. (2022) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-94252-6_28
Lo, Y., Zhao, I. Y., Ho, M., Montayre, J., & Chiu, C. (2022) · doi:10.2196/preprints.42279
Corte, V. D., Gaudio, G. D., Sepe, F., Luongo, S., & Crisci, A. (2022) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine54828.2022.9967579
Design of Assistant Robot for Monitoring in Health Centers in the Emergency Area
Mendoza, H. S., Sanchez, R. A. V., & Zarate-Perez, E. (2022) · LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI) · doi:10.18687/laccei2022.1.1.338
Rodríguez-Domínguez, M. T., Bazago-Dómine, M. I. I., Jiménez-Palomares, M., Nuñez-Trujillo, P. M., Pérez-González, G., Santano‐Mogena, E., Barriga-Talavera, C., & Garrido-Ardila, E. M. (2023) · doi:10.2196/preprints.45459
Sakai, K., Hsieh, T., Yoshikawa, Y., & Ishiguro, H. (2024) · Advanced Robotics · doi:10.1080/01691864.2024.2326969
Robots for Humans (RfH 2024) - Embracing Human-Centred Robot Design
Cocchella, F., Eldardeer, O., Manca, M., Matarese, M., Rezzani, A., & Zedda, E. (2024) · International Conference on Advanced Visual Interfaces (AVI) · doi:10.1145/3656650.3660535
Samii : une application de médiation robotique pour améliorer les soins gériatriques
Rampeneaux, C., Abci, B., Blavette, L., Tamou, B., & Pino, M. (2024) · Soins Gérontologie · doi:10.1016/j.sger.2024.04.007
Au-Yeung, K. T. H., Chan, W. W. L., Chan, K. Y. B., Jiang, H., & Zhong, J. (2024) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2024.3461409
Learning from the Experts: Learning-Based Approach for Robot Personalisation
Andriella, A., Carme Torras, A., & Alenyà, G. (2025) · Springer tracts in advanced robotics · doi:10.1007/978-3-031-71732-1_6
Exploring Existing Approaches to Adaptable and Adaptive Social Robots
Andriella, A., Carme Torras, A., & Alenyà, G. (2025) · Springer tracts in advanced robotics · doi:10.1007/978-3-031-71732-1_2
Getson, C., & Nejat, G. (2025) · Research Square · doi:10.21203/rs.3.rs-7556807/v1
Choi, N., & Park, D.-H. (2025) · Journal of Applied Gerontology · doi:10.1177/07334648251398604
Socially Assistive Robots for Cognitive Assessment and Training in Older Adults: A Systematic Review
Zubair, M., Tamantini, C., Benedictis, R. D., Fracasso, F., Umbrico, A., Beraldo, G., Orlandini, A., & Cortellessa, G. (2026) · Robotics · doi:10.3390/robotics15080152 · Cited by 1
Dou, X., & She, W. J. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2714326
Piras, R., Bordini, S., Simi, R. K., Consolo, I., Esposito, V., Cavaggion, C., Feder, M., Fossati, M., Grioli, G., Bicchi, A., et al. (2026) · Frontiers in Robotics and AI · doi:10.3389/frobt.2026.1944029
Horiuchi, S. (2026) · AI & Society · doi:10.1007/s00146-026-03381-3
Metadata
- Authors
- Pino, O., Palestra, G., Trevino, R., & De Carolis, B.
- Affiliations
- University of Parma (IT)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Pino, Olimpia
- Venue
- International Journal of Social Robotics
- Published
- 2019-02-27
- Volume
- 12
- Issue
- 1
- Pages
- 21-33
- ISSN
- 1875-4791 (ISSN-L)
- 1875-4805
- OpenAlex
- W2919216008
- Cited by
- 120
- References
- 32
- Citations by year
- 2026: 10 · 2025: 22 · 2024: 20 · 2023: 16 · 2022: 20 · 2021: 19 · 2020: 12 · 2019: 1
- FWCI
- 16.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Social Robotics (publishedVersion)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion)
- Funders
- Università degli Studi di Parma
- Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- NAO robot, human-robot interaction, mild cognitive impairment, memory training, older adults, cognitive decline, medication adherence, therapeutic behavior, visual gaze, depressive symptoms, prose memory, verbal fluency, dementia care, ecological setting
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