Browsing by Subject "Computer Sciences::Computer science::Human-computer interaction"

Now showing items 1-18 of 18

    • 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.

    • Citizen Carbon Budget Survey Data 

      Dowthwaite, Liz; Reyes-Cruz, Gisela (The University of Nottingham, 2024-08-09)
      Data from and online survey with 300 UK based participants, investigating the viability, trustworthiness, and public acceptance of a Citizen Carbon Budget (CCB) app to monitor and encourage carbon emission reduction from ...

    • Climb! performance audience response, 2017-06-08 

      Greenhalgh, Chris (The University of Nottingham, 2018-01-16)
      Audience questionnaire responses to the premiere peformances of Climb!, an electro-acoustic composition for pianist and Disklavier.

    • 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.

    • Conversational agent use in a café 

      Porcheron, Martin (The University of Nottingham, 2017-02-25)
      Anonymised transcripts of conversational agent use in a café that were used for the following publication: Martin Porcheron, Joel E. Fischer, and Sarah Sharples. 2017. “Do Animals Have Accents?”: Talking with Agents in ...

    • 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. ...

    • GeoTracks (Adaptive Music for Everyday Journeys) user trial 1, summer 2015, quantitative data set 

      Greenhalgh, Chris (The University of Nottingham, 2016-07-15)
      Quantitative data from the first user user study of the geotracks prototype adaptive music system, Nottingham, summer 2015. Includes participants, subjective responses to adaptive and non-adaptive walks.

    • How UX practitioners produce findings in usability testing 

      Reeves, Stuart (The University of Nottingham, 2018)
      Anonymised fragments of video and associated transcripts.

    • In my seat 2019, enhancing the experience of bus travel - data from user workshops and deployment 

      Greenhalgh, Chris (The University of Nottingham, 2020-01-07)
      Stimulus materials, anonymised summaries/transcripts and thematic coding of workshops and post-deployment interviews from the In My Seat Horizon project, 2019, which explored ways to enhance the experience of bus travel ...

    • 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 ...

    • A Level Algorithm Twitter Data - NLP Analysis 

      Fischer, Joel E.; Clos, Jeremie; Nichele, Elena; Heaton, Dan (The University of Nottingham, 2024-06-03)
      Topic modelling, sentiment analysis and emotion detection results for Twitter data associated with the 2020 A Level grade calculation algorithm. All tweets are in the form of tweet IDs.

    • Losing her voice premiere audience dataset 

      Greenhalgh, Chris (The University of Nottingham, 2020-07-13)
      This dataset includes all anonymised audience data from the premiere of Losing Her Voice, a contemporary opera composed and written by Elizabeth Kelly (University of Nottingham), which involved the use of a custom web app ...

    • 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.

    • Muzicodes (Musical Code Recognition System) user workshops, 2016, public dataset 

      Greenhalgh, Chris (The University of Nottingham, 2017-01-05)
      Data from a series of development workshops using the muzicodes musical code recognition system, held with musicians with varying levels of experience and background. Includes participant information, summary information ...

    • 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 ...

    • 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, ...

    • Voice interfaces in everyday life 

      Porcheron, Martin (University of Nottingham, 2018-02-20)
      Anonymised transcripts of Amazon Echo interfaces in a home, as used in the CHI 2018 paper "Voice Interfaces in Everyday Life". This data was captured using a custom-built recording device ("Conditional Voice Recorder") ...