Výsledky vyhledávání - "International Journal of Human-Computer Studies"

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  1. 1

    The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI Autor Shin, Donghee

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.02.2021
    “…•This study examines the effect of explainability in AI on user trust and attitudes toward AI.•Conceptualizes causability as an antecedent of explainability…”
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  2. 2

    The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots Autor Rapp, Amon, Curti, Lorenzo, Boldi, Arianna

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.07.2021
    “…•We reviewed 83 articles that investigate how people interact with text-based chatbots•We identified five relevant themes that are recurrent across the…”
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  3. 3

    My Chatbot Companion - a Study of Human-Chatbot Relationships Autor Skjuve, Marita, Følstad, Asbjørn, Fostervold, Knut Inge, Brandtzaeg, Petter Bae

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.05.2021
    “…•Human-chatbot relationships may have positive impact on wellbeing•Human–chatbot relationships may be strengthened through self-disclosure•Self-disclosure in…”
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  4. 4

    Almost human? A comparative case study on the social media presence of virtual influencers Autor Arsenyan, Jbid, Mirowska, Agata

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.11.2021
    “…•Virtual agents are permeating and interacting on publicly visible human networks.•We compare posting behavior of and user reactions to virtual and human…”
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  5. 5

    A Taxonomy of Social Cues for Conversational Agents Autor Feine, Jasper, Gnewuch, Ulrich, Morana, Stefan, Maedche, Alexander

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.12.2019
    “…•Development and evaluation of a taxonomy of social cues for conversational agents.•Multidisciplinary review and analysis of definitions, conceptualizations,…”
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  6. 6

    A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form Autor O’Brien, Heather L., Cairns, Paul, Hall, Mark

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.04.2018
    “…•The User Engagement Scale (UES) measures self-reported user engagement.•We refined the factor structure of the UES using mirt for the R statistics program.•We…”
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  7. 7

    The effect of challenge-based gamification on learning: An experiment in the context of statistics education Autor Legaki, Nikoletta-Zampeta, Xi, Nannan, Hamari, Juho, Karpouzis, Kostas, Assimakopoulos, Vassilios

    ISSN: 1071-5819, 1095-9300, 1071-5819
    Vydáno: Elsevier Ltd 01.12.2020
    “…•We investigated the impact of gamification on learning in statistics education.•We examined challenge-based gamification (points, levels, challenges,…”
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  8. 8

    Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design Autor Haugeland, Isabel Kathleen Fornell, Følstad, Asbjørn, Taylor, Cameron, Bjørkli, Cato Alexander

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.05.2022
    “…•User experience is impacted by interaction style and conversation types in customer service chatbots.•Conversations that explore a topic of interest may…”
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  9. 9

    Tailored gamification: A review of literature Autor Klock, Ana Carolina Tomé, Gasparini, Isabela, Pimenta, Marcelo Soares, Hamari, Juho

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.12.2020
    “…•The paper conducts a systematic review about tailored, personalized, adaptive and recommended gamification.•42 studies state that tailored gamification is…”
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  10. 10

    Revisiting collaboration through mixed reality: The evolution of groupware Autor Ens, Barrett, Lanir, Joel, Tang, Anthony, Bateman, Scott, Lee, Gun, Piumsomboon, Thammathip, Billinghurst, Mark

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.11.2019
    “…•Collaborative MR technology is now mature enough to focus squarely on human needs.•We distil representative literature focusing on collaboration in MR since…”
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  11. 11

    Human-centered XAI: Developing design patterns for explanations of clinical decision support systems Autor Schoonderwoerd, Tjeerd A.J., Jorritsma, Wiard, Neerincx, Mark A., van den Bosch, Karel

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.10.2021
    “…•Human-centered XAI design is required to create human-understandable explanations.•We present a human-centered design approach to develop explanations for AI…”
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  12. 12

    “It wouldn't happen to me”: Privacy concerns and perspectives following the Cambridge Analytica scandal Autor Hinds, Joanne, Williams, Emma J., Joinson, Adam N.

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.11.2020
    “…•People did not delete their Facebook accounts due to the Cambridge Analytica scandal.•Online privacy is confusing and people lack knowledge of risks relating…”
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  13. 13

    Gamification in theory and action: A survey Autor Seaborn, Katie, Fels, Deborah I.

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.02.2015
    “…Gamification has drawn the attention of academics, practitioners and business professionals in domains as diverse as education, information studies,…”
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  14. 14

    Development and validation of the player experience inventory: A scale to measure player experiences at the level of functional and psychosocial consequences Autor Abeele, Vero Vanden, Spiel, Katta, Nacke, Lennart, Johnson, Daniel, Gerling, Kathrin

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.03.2020
    “…•Scale to measure player experience at functional and psychosocial level concurrently.•Development and validation carried out with 64 games experts and 529…”
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  15. 15

    Do smartphone usage scales predict behavior? Autor Ellis, David A., Davidson, Brittany I., Shaw, Heather, Geyer, Kristoffer

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.10.2019
    “…•Technology usage is typically measured via self-report.•Compares self-report smartphone scales with objective behaviour.•Reveals inconsistencies between…”
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  16. 16

    How the different explanation classes impact trust calibration: The case of clinical decision support systems Autor Naiseh, Mohammad, Al-Thani, Dena, Jiang, Nan, Ali, Raian

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.01.2023
    “…•This paper evalutes four explanation classes during Human-AI decision-making task.•Two explanation classes were perceived more understandable.•Providing…”
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  17. 17

    Human augmentation: Past, present and future Autor Raisamo, Roope, Rakkolainen, Ismo, Majaranta, Päivi, Salminen, Katri, Rantala, Jussi, Farooq, Ahmed

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.11.2019
    “…•Human augmentation will change what it means to be human.•A definition and model for human augmentation are presented.•Physical and digitally mediated actions…”
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  18. 18

    Sweet escape: The role of empathy in social media engagement with human versus virtual influencers Autor Mirowska, Agata, Arsenyan, Jbid

    ISSN: 1071-5819, 1095-9300
    Vydáno: Elsevier Ltd 01.06.2023
    “…•People use social media for various purposes, including emotional diversion.•Influencers on social media share emotions to build connections with…”
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  19. 19

    A design methodology for affective Virtual Reality Autor Dozio, Nicoló, Marcolin, Federica, Scurati, Giulia Wally, Ulrich, Luca, Nonis, Francesca, Vezzetti, Enrico, Marsocci, Gabriele, La Rosa, Alba, Ferrise, Francesco

    ISSN: 1071-5819, 1095-9300, 1095-9300
    Vydáno: Elsevier Ltd 01.06.2022
    “…•We designed ten virtual environments able to elicit a specific emotional reaction.•We describe the methodology we used to design the emotional virtual…”
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  20. 20

    Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures Autor Akalin, Neziha, Kristoffersson, Annica, Loutfi, Amy

    ISSN: 1071-5819, 1095-9300, 1095-9300
    Vydáno: Elsevier Ltd 01.02.2022
    “…•The key influencing factors of perceived safety are identified as comfort, experience/familiarity, predictability, sense of control, transparency, and…”
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