Inter-ALTCAI: Interactive Agents with Literacy, Trust, and Comprehension-aware Artificial Intelligence
dc.contributor.author | Valstar, Michel | |
dc.contributor.other | Egede, Joy | |
dc.contributor.other | Galvez Trigo, Maria Jose | |
dc.contributor.other | Porcheron, Martin | |
dc.contributor.other | Hazzard, Adrian | |
dc.contributor.other | Bodiaj, Edgar | |
dc.contributor.other | Greenhalgh, Chris | |
dc.contributor.other | Fischer, Joel | |
dc.coverage.spatial | United Kingdom | en_UK |
dc.coverage.spatial | Nigeria | en_UK |
dc.date.accessioned | 2021-07-30T08:56:31Z | |
dc.date.available | 2021-07-30T08:56:31Z | |
dc.date.issued | 2021-07-30 | |
dc.identifier.uri | https://rdmc.nottingham.ac.uk/handle/internal/9163 | |
dc.description.abstract | SPSS file containing the participants' responses to the questionnaires used during the project. During Inter-ALTCAI we designed an Embodied Conversation Agent (ECA) to provide informal health and well-being advice to pregnant and nursing women in Nigeria. Sessions using the ECA were run with participants from the UK and Nigeria to try to understand if the use of an ECA affected the engagement of participants. Data included in this item are: - Responses to questionnaire with demographics and data related to prior device use experience. - Responses to Negative Attitudes Towards Robots Scale (NARS) questionnaire. - Results of REALM health literacy reading tasks. - Responses to User Engagement Scale - Short Form questionnaire after each participant used the ECA for three different conditions: * Linear ECA. * Adaptive ECA. * Text-and-speech interface. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | The University of Nottingham | en_UK |
dc.rights | CC-BY | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.lcsh | Computer-assisted instruction | en_UK |
dc.subject.lcsh | Intelligent agents (Computer software) | en_UK |
dc.subject.lcsh | Human-computer interaction | en_UK |
dc.subject.lcsh | Artificial intelligence | en_UK |
dc.title | Inter-ALTCAI: Interactive Agents with Literacy, Trust, and Comprehension-aware Artificial Intelligence | en_UK |
dc.identifier.doi | http://doi.org/10.17639/nott.7137 | |
dc.subject.free | NARS, UES, Embodied Conversational Agent, REALM | en_UK |
dc.subject.jacs | Computer Sciences::Artificial intelligence | en_UK |
dc.subject.jacs | Computer Sciences::Computer science::Human-computer interaction | en_UK |
dc.subject.lc | Q Science::QA Mathematics::QA 75 Electronic computers. Computer science | en_UK |
dc.date.collection | December 2020 to March 2021 | en_UK |
uon.division | University of Nottingham, UK Campus::Faculty of Science::School of Computer Science | en_UK |
uon.funder.controlled | Other | en_UK |
uon.datatype | SPSS file with questionnaire responses and results of REALM test. | en_UK |
uon.funder.free | UK Department for International Development | en_UK |
uon.collectionmethod | Microsoft Forms questionnaires, and observation and annotation by researchers for the REALM task. | en_UK |
uon.preservation.rarelyaccessed | true | |
dc.relation.doi | https://doi.org/10.1145/3469595.3469621 | en_UK |
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