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dc.contributor.authorValstar, Michel
dc.contributor.otherEgede, Joy
dc.contributor.otherGalvez Trigo, Maria Jose
dc.contributor.otherPorcheron, Martin
dc.contributor.otherHazzard, Adrian
dc.contributor.otherBodiaj, Edgar
dc.contributor.otherGreenhalgh, Chris
dc.contributor.otherFischer, Joel
dc.coverage.spatialUnited Kingdomen_UK
dc.coverage.spatialNigeriaen_UK
dc.date.accessioned2021-07-30T08:56:31Z
dc.date.available2021-07-30T08:56:31Z
dc.date.issued2021-07-30
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/9163
dc.description.abstractSPSS 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.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshComputer-assisted instructionen_UK
dc.subject.lcshIntelligent agents (Computer software)en_UK
dc.subject.lcshHuman-computer interactionen_UK
dc.subject.lcshArtificial intelligenceen_UK
dc.titleInter-ALTCAI: Interactive Agents with Literacy, Trust, and Comprehension-aware Artificial Intelligenceen_UK
dc.identifier.doihttp://doi.org/10.17639/nott.7137
dc.subject.freeNARS, UES, Embodied Conversational Agent, REALMen_UK
dc.subject.jacsComputer Sciences::Artificial intelligenceen_UK
dc.subject.jacsComputer Sciences::Computer science::Human-computer interactionen_UK
dc.subject.lcQ Science::QA Mathematics::QA 75 Electronic computers. Computer scienceen_UK
dc.date.collectionDecember 2020 to March 2021en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Science::School of Computer Scienceen_UK
uon.funder.controlledOtheren_UK
uon.datatypeSPSS file with questionnaire responses and results of REALM test.en_UK
uon.funder.freeUK Department for International Developmenten_UK
uon.collectionmethodMicrosoft Forms questionnaires, and observation and annotation by researchers for the REALM task.en_UK
uon.preservation.rarelyaccessedtrue
dc.relation.doihttps://doi.org/10.1145/3469595.3469621en_UK


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