Socially Pertinent Robots in Gerontological Healthcare
Not on the map. Why?
Abstract (arXiv)
Despite the many recent achievements in developing and deploying social robotics, there are still many underexplored environments and applications for which systematic evaluation of such systems by end-users is necessary. While several robotic platforms have been used in gerontological healthcare, the question of whether or not a social interactive robot with multi-modal conversational capabilities will be useful and accepted in real-life facilities is yet to be answered. This paper is an attempt to partially answer this question, via two waves of experiments with patients and companions in a day-care gerontological facility in Paris with a full-sized humanoid robot endowed with social and conversational interaction capabilities. The software architecture, developed during the H2020 SPRING project, together with the experimental protocol, allowed us to evaluate the acceptability (AES) and usability (SUS) with more than 60 end-users. Overall, the users are receptive to this technology, especially when the robot perception and action skills are robust to environmental clutter and flexible to handle a plethora of different interactions.
Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 30 of its 111 references that are in the map. First posted on arXiv 11 Apr 2024.
Builds on
30 of 111 references.
References · 30
- 2015Deep Residual Learning for Image Recognitioncited by 51,950
- 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,539
- 2019Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfercited by 1,490
- 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
- 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 898
- 2016ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Camerascited by 803
- 2018From Coarse to Fine: Robust Hierarchical Localization at Large Scalecited by 557
- 2020FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Trackingcited by 489
- 2021Core Challenges of Social Robot Navigation: A Surveycited by 97
- 2020Detecting Attended Visual Targets in Videocited by 76
- 2024RTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operationcited by 62
- 2021ECAPA-TDNN Embeddings for Speaker Diarizationcited by 47
18 more
- 2021TransCenter: Transformers with Dense Representations for Multiple-Object Trackingcited by 42
- 2023A Survey on Socially Aware Robot Navigation: Taxonomy and Future Challengescited by 35
- 2023Object-aware Gaze Target Detectioncited by 27
- 2022Multimodal Across Domains Gaze Target Detectioncited by 22
- 2014F-formation Detection: Individuating Free-standing Conversational Groups in Imagescited by 16
- 2023Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineeringcited by 13
- 2020Robot Navigation with Map-Based Deep Reinforcement Learningcited by 9
- 2020ROS for Human-Robot Interactioncited by 6
- 2013Vision-Guided Robot Hearingcited by 4
- 2019MuMMER: Socially Intelligent Human-Robot Interaction in Public Spacescited by 4
- 2021Speech enhancement with mixture-of-deep-experts with clean clustering pre-trainingcited by 4
- 2019Petri Net Machines for Human-Agent Interactioncited by 2
- 2022D-InLoc++: Indoor Localization in Dynamic Environmentscited by 2
- 2023Situated Participatory Design: A Method for In Situ Design of Robotic Interaction with Older Adultscited by 2
- 2023A two-stage speaker extraction algorithm under adverse acoustic conditions using a single-microphonecited by 2
- 2024Single-Microphone Speaker Separation and Voice Activity Detection in Noisy and Reverberant Environmentscited by 2
- 2023Detecting agreement in multi-party dialogue: evaluating speaker diarisation versus a procedural baseline to enhance user engagementcited by 1
- 2023Detecting Agreement in Multi-party Conversational AIcited by 1
Built on by
Citing papers per year: 2026: 1.
1 paper.
- 2026Towards Unconstrained Human-Object Interactioncited by 0
- 2026Towards Unconstrained Human-Object Interaction15 Apr 2026