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Inter-ALTCAI: Interactive Agents with Literacy, Trust, and Comprehension-aware Artificial Intelligence

Domain:

healthcarenatural language processing

Record type:

dataset
Creator:
Val
Editor:
UniUniEgeGal
Publisher:
The
Host:avatar
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.

Visit

doi.orgrdmc.nottingham.ac.uk

Tags

Computer-assisted instructionIntelligent agents (Computer software)Human-computer interactionArtificial intelligenceNARS, UES, Embodied Conversational Agent, REALMComputer Sciences::Artificial intelligenceComputer Sciences::Computer science::Human-computer interactionQ Science::QA Mathematics::QA 75 Electronic computers. Computer science

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode