Sökning: "human computer interaction"

Visar resultat 16 - 20 av 621 avhandlingar innehållade orden human computer interaction.

  1. 16. On Safe Collaborative Assembly With Large Industrial Robots

    Författare :Varun Gopinath; Kerstin Johansen; Johan Ölvander; Micael Derelöv; Michael Hofbaur; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : This thesis pertains to industrial safety in relation to human-robot collaboration. The aim is to enhance understanding of the nature of systems where large industrial robots collaborate with humans to complete assembly tasks. This understanding may support development and safe operations of future collaborative systems. LÄS MER

  3. 17. Robot Sound in Interaction : Analyzing and Designing Sound for Human-Robot Coordination

    Författare :Hannah Pelikan; Leelo Keevallik; Mathias Broth; Christian Licoppe; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Conversation analysis; Ethnomethodology; Human-robot interaction; Interaction design; Multimodality; Non-lexical sounds; Robot sound; Video analysis; Etnometodologi; Icke-lexikala ljud; Interaktionsanalys; Interaktionsdesign; Multimodalitet; Människa-robotinteraktion; Robotljud; Videoanalys;

    Sammanfattning : Robots naturally emit sound, but we still know little about how sound can serve as an interface that makes a robot’s behavior explainable to humans. This dissertation draws on insights about human practices for coordinating bodily activities through sound, investigating how they could inform robot design. LÄS MER

  4. 18. Representing human-automation challenges

    Författare :Jonas Andersson; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; human-machine systems; control rooms; cognitive systems engineering; automation;

    Sammanfattning : Automation technology is widely implemented in process control domains due to its benefits of improving efficiency and enhancing control. However, use of automation also introduces an often complex intermediary between the human and the controlled domain, which can obscure from the operator how system functioning is achieved. LÄS MER

  5. 19. Towards Usable Transparency via Individualisation

    Författare :Patrick Murmann; Simone Fischer-Hübner; Sebastian Pape; Karlstads universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Data transparency; General Data Protection Regulation GDPR ; Human-centred design; Human-computer interaction HCI ; Information privacy; Intervenability; Mobile health mhealth ; Transparency-enhancing tool TET ; Usability; Computer Science; Datavetenskap;

    Sammanfattning : The General Data Protection Regulation grants data subjects the legal rights of transparency and intervenability. Ex post transparency provides users of data services with insight into how their personal data have been processed, and potentially clarifies what consequences will or may arise due to the processing of their data. LÄS MER

  7. 20. Visual Analytics for Explainable and Trustworthy Machine Learning

    Författare :Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visualization; interaction; visual analytics; explainable machine learning; XAI; trustworthy machine learning; ensemble learning; dimensionality reduction; supervised learning; unsupervised learning; ML; AI; tabular data; visualisering; interaktion; visuell analys; förklarlig maskininlärning; XAI; pålitlig maskininlärning; ensembleinlärning; dimensionesreducering; övervakad inlärning; oövervakad inlärning; ML; AI; tabelldata; Computer Science; Datavetenskap; Informations- och programvisualisering; Information and software visualization;

    Sammanfattning : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. LÄS MER