Sökning: "machine human interaction"

Visar resultat 11 - 15 av 169 uppsatser innehållade orden machine human interaction.

  1. 11. Designing nonverbal utterances by nonhuman characters : How clearly can emotions and characteristics be conveyed?

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Författare :Tove Bondeson Siwe; [2023]
    Nyckelord :voice design; nonverbal communication; non-human characters; nonverbal utterances; emotional utterances; synthezied voice; sound design; character design; design;

    Sammanfattning : This research seeks to explore the concept of voice design, specifically voice design for non-human characters that do not communicate using words. The idea was to mimic the vocal contours of human non-verbal vocal expression with a synthesizer to achieve emotional clarity, as well as make it sound less like a machine and more like a fleshed-out character. LÄS MER

  3. 12. A Virtual Reality-Based Study of Dependable Human-Machine Interfaces for Communication between Humans and Autonomous or Teleoperated Construction Machines

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Nikita Sunding; Amanda Johansson; [2023]
    Nyckelord :VR; virtual reality; eHMI; HMI; Human Machine Interfaces; HMI design; Autonomous; Construction machine; machine; Autonomous vehicle; Vehicle-to-pedestrian communication; teleoperated machine; teleoperation; pedestrian; External human-machine interface; Dependability; Dependable Human Machine Intrefaces;

    Sammanfattning : The study aimed to identify and analyse methods for establishing external communication between humans and autonomous/teleoperated machines/vehicles using various Human-Machine Interfaces (HMIs). The study was divided into three phases. LÄS MER

  4. 13. Transparent ML Systems for the Process Industry : How can a recommendation system perceived as transparent be designed for experts in the process industry?

    Master-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Eliz Fikret; [2023]
    Nyckelord :explainable AI; process industry; explanation types; trustworthy AI; feedback; user-centred design; contextual design; field study; research through design; human-computer interaction; machine learning; transparent AI; question-driven design process;

    Sammanfattning : Process monitoring is a field that can greatly benefit from the adoption of machine learning solutions like recommendation systems. However, for domain experts to embrace these technologies within their work processes, clear explanations are crucial. LÄS MER

  5. 14. Augmented Reality: A tool for Knowledge Transfer to machine operators

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Kristoffer Widén; Viktor Svärd; [2023]
    Nyckelord :Augmented Reality AR ; Knowledge Management KM ; Knowledge Transfer KT ; Industry 4.0; Industry 5.0.; Augmented Reality AR ; Kunskapsöverföring; Kunskapshantering; Industri 4.0; Industri 5.0;

    Sammanfattning : With an increasing demand for customized products with short delivery times, high quality, and competitive prices, manufacturing firms have to be flexible, agile, effective, and productive. In Industry 4.0, the focus were on technologies as a response to the shifted business environment. Nowadays, the integration of humans with Industry 4. LÄS MER

  7. 15. Interactive or textual explanations? : Evaluation of two explanatory approaches within in-vehicle adaptive systems.

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gabriele Carollo; [2023]
    Nyckelord :Explainable artificial intelligence; human machine interaction; Förklarlig artificiell intelligens; interaktion mellan människa och maskin;

    Sammanfattning : Adaptiva system är idag en viktig resurs för att kunna utföra vardagliga uppgifter och tillgodose användarnas behov med personliga anpassningar. Sådana system är vanligtvis baserade på modeller som förlitar sig på komplexa algoritmer för artificiell intelligens som gör att systemets beteende uppfattas som ogenomskinligt för användarna. LÄS MER