Browsing by Subject "Q Science::QA Mathematics::QA 75 Electronic computers. Computer science"

Now showing items 21-30 of 30

    • The McMichael Experiment participant feedback forms 

      Cliffe, Laurence (The University of Nottingham, 2024-12-20)
      Participant feedback forms from 'The McMichael Experiment' audio augmented reality sound installation at the National Science and Media Museum, Bradford, UK.

    • Mind uploading - freedom or slavery? 

      Thornton, Angela (The University of Nottingham, 2021-07-28)
      This online survey aimed to explore the public's awareness of and attitudes to the hypothetical concept of mind uploading.

    • 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.

    • Numerical data for publication "Tracking the Consumption of Home Essentials" 

      Porcheron, Martin; Fuentes, Carolina; Fischer, Joel E. (University of Nottingham, 2019-12-03)
      This spreadsheet contains the data used for the statistical analysis for the ACM CHI 2019 paper "Tracking the Consumption of Home Essentials". This work was published by the Association of Computing Machinery and presented ...

    • Our Futures in Mind Uploading: Public Perceptions and Narratives 

      Thornton, Angela Claire (The University of Nottingham, 2024-06-20)
      My research uses mind uploading as an exemplar for hypothetical future neurotechnology and contributes new data to an under researched field. To encourage participants to connect with mind uploading, I designed a novel ...

    • Privacy-Preserving Detection of Online Misinformation 

      Clos, Jeremie; McClaughlin, Emma; Clos, Jeremie (The University of Nottingham, 2024-08-12)
      This repository contains data collected during a user study for a TAS-funded project on the privacy-detection of online misinformation.

    • 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 ...

    • Stable matching problem algorithms and instance generator 

      Karapetyan, Daniel (The University of Nottingham, 2024-09-20)
      The implementations of the Deferred Acceptance (DA) and Accelerated Deferred Acceptance (ADA) algorithms, as well as a pseudo-random instance generator for the Stable Matching Problem, used in the following paper: Gregory ...

    • TrustScapes worksheets: a visualisation tool to capture stakeholders' concerns and recommendations about data protection, algorithmic bias, and online safety 

      Ito-Jaeger, Sachiyo (The University of Nottingham, 2023-06-30)
      The TrustScapes focus groups were held to explore stakeholders’ concerns and recommendations about AI chatbots in mental health care in the United Kingdom. For the TrustScapes methodological paper, the TrustScape worksheets ...

    • Visual Impairments Reflective Design Cards 

      Reyes Cruz, Aurea Gisela (The University of Nottingham, 2022-08-05)
      A deck of reflective design cards representing different layers of visually impaired experiences for prompting consideration of visual impairments in systems design. It consists of five card categories: competencies, tools, ...