Wäfler, Toni

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Wäfler
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Toni
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Wäfler, Toni

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2022 - 20248
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Anfangsdatum: 2020 × Dateien dazu vorhanden?: Ja ×

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Gerade angezeigt 1 - 8 von 8
  • Vorschaubild
    Publikation
    White Paper: Mensch und KI – gemeinsam besser. Hinweise für eine erfolgreiche Nutzung der künstlichen Intelligenz in wissensintensiven Bereiche
    (Hochschule für Angewandte Psychologie FHNW, 01.09.2024) Wäfler, Toni; Eisenegger, Andrina; Hamouche, Samira; Magee, Nicholas
    05 - Forschungs- oder Arbeitsbericht
  • Vorschaubild
    Publikation
    Why Do or Don’t You Provide Your Knowledge to an AI?
    (AHFE Open Access, 2024) Renggli, Philipp; Wäfler, Toni; Ahram, Tareq; Kalra, Jay; Karwowski, Waldemar [in: Artificial Intelligence and Social Computing. AHFE (2024) International Conference]
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Interactive proposal system for determining a set of operational parameters for a machine tool, control system for a machine tool, machine tool and method for determining a set of operational parameters
    (Europäisches Patentamt, 23.08.2023) Plüss, Christoph; Diergard, Urs; Wäfler, Toni; Weiss, Lukas; Renggli, Philipp; Süssmaier, Stefan
    12 - Patent
  • Vorschaubild
    Publikation
    Wie New Work wirtschaftliche und soziale Ansprüche verbindet
    (Galledia, 06.05.2023) Niederhauser, Luca; Wäfler, Toni; Deflorin, Patricia; Ahnefeld, Jonas [in: Organisator]
    01B - Beitrag in Magazin oder Zeitung
  • Vorschaubild
    Publikation
    sWafety: A Complementary Low-threshold Safety Management Process
    (2023) Schenkel, Sandra; Medici, Guri; Staender, Sven; Wäfler, Toni [in: AHFE International]
    Effective safety management requires a reliable information basis. At the same time, established safety management systems (SMS) and surveys are known to have certain limitations, such as low participation rates or data bias due to the influence of situational factors (e.g., Pfeiffer, Manser & Wehner, 2010; Sujan, 2015). In collaboration with Swiss companies from the aviation, nuclear and healthcare industries, sWafety was developed and tested as a complementary process concept to address these shortcomings. sWafety provides a low-threshold process design and digital tool that aims to further engage and motivate employees to participate in data collection, analysis, and feedback to further improve data quality.This paper describes the design of the sWafety process, which is based on a user-centered approach as well as insights from motivation theory, gamification, and practical expertise. Key process elements are presented that support motivated employee participation through short survey cycles, low respondent burden, direct feedback processes and active user involvement in data interpretation and safety measure development. Based on a use case with a Swiss hospital, a minimum viable app-prototype was applied to test the extent to which key process elements can be transferred to operational practice and how they are evaluated by users. An eight-day application scenario of sWafety was conducted with a team of anesthesia professionals (n = 7). Prototyped process elements included daily app-based data collection and alternating feedback presentation. A formative evaluation was conducted by means of a workshop.The results of a qualitative content analysis indicate that the key process elements are transferable to operational practice. Concisely worded questions, tasks, or feedback that encourage reflection and learning, were found to be more motivating than gamification. Timely feedback, particularly on work-related information, and full transparency regarding the purposes and outcomes of the surveys also appear to be very important factors motivating participation in providing safety-related data. However, users called for more opportunities to provide bottom-up information and a more active role in discussing findings and developing safety measures.Effective implementation of sWafety into operational practice requires that the general process design is adapted to a company’s specifics. Particular attention should be paid to how local, decentralized processes can be implemented to enable timely feedback and appropriate employee involvement in discussing results and developing safety measures. Regarding low-threshold process design, the results imply that elements which trigger intrinsic motivation (e.g., learning or reflection) should be preferred over gamification. Also, further development of technical solutions for flexible interaction with the app and for data analysis can further increase the potential of sWafety.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Implementing Data-Based Services: A Socio-Technical Model
    (21.07.2022) Deflorin, Patricia; Campos, Adrian; Wäfler, Toni; Havelka, Anina; Leitner, Christine; Ganz, Walter; Bassano, Clara; Satterfield, Debra [in: The Human Side of Service Engineering]
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    sWafety: Safety durch die Nutzung der Schwarmintelligenz der Mitarbeitenden
    (07.06.2022) Schenkel, Sandra; Wäfler, Toni; Holzapfel, Michael; Kuster, Dominique; Reimann, Matthias; Staender, Sven
    sWafety verfolgt die Erweiterung etablierter Safety Management Systeme (SMS) durch die Nutzung der Schwarmintelligenz der Mitarbeitenden einer Organisation. Ein niederschwelliger Prozess und die innovative Nutzung digitaler Mittel sollen Mitarbeitende in die Datenerfassung, -auswertung und -interpretation einbeziehen. Dies, um eine bessere Informationslage für das Safety Management zu generieren und bekannte Defizite von SMS-Meldekanälen zu kompensieren.
    06 - Präsentation
  • Vorschaubild
    Publikation
    Matching B2B-partners in the sharing economy
    (2022) Niederhauser, Luca; Wäfler, Toni; Huber, Sebastian; Jüttner, Uta; von dem Berge, Karina; Huber, Charles; Burri, Simona [in: Human Factors, Business Management and Society]
    This paper explores the matching of business-to-business (B2B) partners interested in the sharing of resources. Factors for a successful matching were derived from the literature and examined through interviews with representatives of Swiss small and medium-sized enterprises (SMEs). Results showed that relevant success factors cannot be universally defined in advance since sharing transactions differ too much from one another. These insights led to the development of a diagnostic tool that takes the diversity of sharing transactions into account by facilitating the comparison of expectations and objectives of the parties involved. Such compatibilities, or incompatibilities are revealed, which prevents misunderstandings during the sensitive partner matching phase of B2B-sharing transactions.
    04B - Beitrag Konferenzschrift