Di Nuovo, Alessandro and Bamforth, Josh and Varrasi, Simone and Conti, Daniela and Lucas, Alexandr (2019). Cognitive Assessment Through Human-Robot Interaction - Performance Evaluation. SHU Research Data Archive (SHURDA). http://doi.org/10.17032/shu-180011
Summary
Experiments were carried out within the University premises. Participants will be hosted in groups, but they will access to the assessment room one by one. To avoid the learning effect bias, the robotic and standard sessions will be spaced by at least two weeks. We will alternate which modality (robotic/standard) is tested first. A session is about 20 mins including welcome and debriefing. Details on the experiments are in the published articles. The audio and video data from interaction were used for refining the speech and object recognition via machine learning techniques.
| Keywords: | human-robot interaction, IBM watson. | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Creators: | ||||||||||
| Contributors: | ||||||||||
| Academic units: | Faculty of Science, Technology and Arts (STA) > Research Centres > Materials and Engineering Research Institute (MERI) > Centre for Automation and Robotics Research | |||||||||
| Funders: |
|
|||||||||
| Publisher of the data: | SHU Research Data Archive (SHURDA) | |||||||||
| Publication date: | 1 April 2019 | |||||||||
| Data last accessed: | 1 March 2021 | |||||||||
| Reason(s) for restriction and conditions for access: | Dataset contains video and audio. Participants gave consent to use it for project research purposes only. | |||||||||
| DOI: | http://doi.org/10.17032/shu-180011 | |||||||||
| SHURDA URI: | https://shurda.shu.ac.uk/id/eprint/105 | |||||||||
Files
Full Archive
Associated research outputs in SHURA
Altmetrics
Actions (Log-in required)
Edit Item