Browsing University of Nottingham Research Data Management Service by Author "Fischer, Joel"
Now showing items 1-10 of 10
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AtomicOrchid quantitative data
Fischer, Joel (The University of Nottingham, 2016-10-05)Interactive system evaluation, flagging system messages as accepted, failed, succeeded, by system version 1 vs. 2. -
ChatGPT Twitter Data - NLP Analysis
Heaton, Dan; Fischer, Joel E.; Clos, Jeremie; Nichele, Elena (The University of Nottingham, 2024-06-03)Topic modelling, sentiment analysis and emotion detection results from NLP analysis of tweets relating to ChatGPT. -
Code for Decision-Making Algorithm Twitter Data NLP Analysis
Heaton, Dan; Fischer, Joel E.; Clos, Jeremie; Nichele, Elena (The University of Nottingham, 2024-06-03)Code for tweet extraction, topic modelling, sentiment analysis and emotion detection. -
Data from "What can I say?: effects of discoverability in VUIs on task performance and user experience"
Kirschthaler, Philipp; Porcheron, Martin; Fischer, Joel (The University of Nottingham, 2020-06-19)This is the data that was used to support the CUI 2020 publication "What Can I Say? Effects of Discoverability in VUIs on Task Performance and User Experience": Philipp Kirschthaler, Martin Porcheron, and Joel E Fischer. ... -
Development and Evaluation of a Framework to Support Accountability in Automated Decision-Making (ADM)
Baguley, Kathryn (University of Nottingham, 2024-09-01)Data supporting the PhD thesis Development and Evaluation of a Framework to Support Accountability in Automated Decision-Making (ADM). Data collected between 2021 and 2024. -
Inter-ALTCAI: Interactive Agents with Literacy, Trust, and Comprehension-aware Artificial Intelligence
Valstar, Michel (The University of Nottingham, 2021-07-30)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 ... -
Mobile robotic telepresence long-term user interviews
Boudouraki, Andriana; Fischer, Joel; Reeves, Stuart; Rintel, Sean (University of Nottingham, 2023-03-28)Transcripts of interviews with people who have had experience with using Mobile Robotic Telepresence of extended periods of time -
NHS COVID-19 App trust and attitudes questionnaire data
Dowthwaite, Liz; Fischer, Joel (The University of Nottingham, 2022-06-24)Questionnaire data from a study carried out as part of the Trustworthy Autonomous Systems hub looking at how attitudes towards use of the NHS COVID-19 app and issues of trust and trustworthiness. 1,001 participants, carried ... -
NHS Covid-19 App Twitter Data - NLP Analysis
Heaton, Dan; Fischer, Joel E.; Clos, Jeremie; Nichele, Elena (The University of Nottingham, 2024-06-03)Topic modelling, sentiment analysis and emotion detection results from the analysis of tweets relating to the NHS Covid-19 contact-tracing app. -
RoboClean elicitation study data of spoken natural language instructions to a robotic vacuum cleaner
Fuentes, Carolina; Porcheron, Martin; Fischer, Joel (The University of Nottingham, 2023-04-13)Dataset comprising spoken instructions of 21 participants tasked to address a robotic vacuum cleaner. The dataset includes transcribed instructions spoken by participants, timestamps, output messages triggered by matching ...