96126 - INNOVATIONS IN WOP PSYCHOLOGY

Conoscenze e abilità da conseguire

At the end of the module students will be able to understand innovation processes in workplaces and organizations, to acquire knowledge on innovation management in the industry and in the labour market, to identify contribution of WOP Psychology in the design of innovative products and services.

Contenuti

Objective: Provide a comprehensive understanding of innovation processes within organizational settings. By the end of the course, students will gain knowledge in innovation management, human factors and ergonomics, and the unique role WOP Psychology plays in advancing innovative solutions in modern workplaces.

Learning Outcomes:

1. Understand innovation processes in workplaces and organizations.
2. Acquire knowledge on innovation management in the industry and labor market.
3. Recognize the value of WOP Psychology in designing innovative products and services.
4. Learn and apply leading methods and techniques in Human Factors and Ergonomics.
5. Understand the importance of adopting a user-centered design approach.
6. Apply research insights to achieve specific workplace objectives in relation to changes produced by technological innovations.
7. Gain familiarity with diverse industrial and organizational settings.
8. Analyze the interface between human behavior and emerging technologies.
9. Evaluate technology acceptance and its implications within organizations.
10. Understand and assess the dynamics of human-technology interactions, focusing on workload and situational awareness.

Course Content:

1. Introduction to Innovations in WOP Psychology:

   Overview of innovation processes in modern organizations.

   The role of WOP Psychology in fostering innovation.

2. Understanding Human Factors and Ergonomics:

Definitions and importance.

Applied Task Analysis.

Usability Testing.

Application in diverse settings.

3. Emerging Technologies and Human Behavior:

   Introducing the basic model of human behavior with emerging technologies.

   Analyzing the dynamics of human-technology interaction.

   Evaluating technology acceptance and its organizational implications.

4. User-Centered Design:

Principles and importance of a user-centered approach.

Interface analysis of digital technologies.

Practical examples of design and evaluation using this approach.

5. Performance and Workload in the Modern Workplace:

   Methods to evaluate human performance in safety-critical environments.

   Assessing situational awareness and mental workload in operators.

   Implications for training and workplace design.

6. Exploring Human-Robot Collaboration:

Introduction to the collaborative assembly workstation.

Features and best practices for human-robot interaction.

Potential challenges and solutions.

7. Case Studies: Learning from Real-world Scenarios:

In-depth exploration of European and National multidisciplinary projects.

Discussions on the role of WOP Psychology in these projects.

Group activities to analyze and propose innovative solutions based on presented cases.

Testi/Bibliografia

Disclaimer: The bibliography here provided might not be exhaustive. While it includes key readings and references relevant to the topics covered, there may be additional significant works, articles, and sources in the field that are not listed and that will be presented during classes.

Students are also encouraged to explore other resources and readings to gain a more comprehensive understanding and to stay updated with recent developments in the subject matter.

Bibliography:

Bell, B. S., McAlpine, K. L., & Hill, N. S. (2023). Leading Virtually. Annual Review of Organizational Psychology and Organizational Behavior, 10.

Del Gaudio, M., Fabbri, E., Fraboni, F., Frangioni, G., Masci, F., Millo, F., ... & Augusto, A. (2022, May). Home Care 2041: Signals from the Future. In Congress of the Italian Society of Ergonomics and Human Factors (pp. 26-35). Cham: Springer International Publishing.

Fraboni, F., Brendel, H., & Pietrantoni, L. (2023). Evaluating Organizational Guidelines for Enhancing Psychological Well-Being, Safety, and Performance in Technology Integration. Sustainability, 15(10), 8113.

Fraboni, F., Gualtieri, L., Millo, F., De Marchi, M., Pietrantoni, L., & Rauch, E. (2021, June). Human-Robot Collaboration During Assembly Tasks: The Cognitive Effects of Collaborative Assembly Workstation Features. In Congress of the International Ergonomics Association (pp. 242-249). Springer, Cham.

Giusino, D., Fraboni, F., Rainieri, G., De Angelis, M., Tria, A., La Bara, L. M. A., & Pietrantoni, L. (2020, April). Human Factors in Interfaces for Rehabilitation-Assistive Exoskeletons: A Critical Review and Research Agenda. In International Conference on Human Interaction and Emerging Technologies (pp. 356-362). Springer, Cham. https://doi.org/10.1007/978-3-030-44267-5_53

Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). The impact of artificial intelligence on workers’ skills: Upskilling and reskilling in organisations. Informing Science: The International Journal of an Emerging Transdiscipline, 26, 39-68.

Morandini, S., Fraboni, F., Puzzo, G., Giusino, D., Volpi, L., Brendel, H., ... & Pietrantoni, L. (2023). Examining the Nexus between Explainability of AI Systems and User's Trust: A Preliminary Scoping Review. Proceedings http://ceur-ws. org ISSN, 1613, 0073.

Naqshbandi, M. M., & Tabche, I. (2018). The interplay of leadership, absorptive capacity, and organizational learning culture in open innovation: Testing a moderated mediation model. Technological Forecasting and Social Change, 133, 156-167.

Ogink, R. H., Goossen, M. C., Romme, A. G. L., & Akkermans, H. (2022). Mechanisms in open innovation: A review and synthesis of the literature. Technovation, 102621.

Panchetti, T., Pietrantoni, L., Puzzo, G., Gualtieri, L., & Fraboni, F. (2023). Assessing the Relationship between Cognitive Workload, Workstation Design, User Acceptance and Trust in Collaborative Robots. Applied Sciences, 13(3), 1720.

Rainieri, G., Fraboni, F., Russo, G., Tušl, M., Pingitore, A., Tessari, A., & Pietrantoni, L. (2021). Visual Scanning Techniques and Mental Workload of Helicopter Pilots During Simulated Flight. Aerospace Medicine and Human Performance, 92(1), 11-19. https://doi.org/10.3357/AMHP.5681.2021

Tausch, A., Kluge, A., & Adolph, L. (2020). Psychological Effects of the Allocation Process in Human–Robot Interaction–A Model for Research on ad hoc Task Allocation. Frontiers in Psychology, 11, 2267.

Yan, Z. (2020). A basic model of human behavior with technologies. Human behavior and emerging technologies, 2(4), 410-415.

Metodi didattici

Lectures: The professor will presents information in a structured manner, using slides and other visual aids. Multimedia integration, storytelling, and inviting questions will be used to make lectures more engaging.

Interactive Discussions: Students will be encouraged to actively participate in class by sharing their views, asking questions, or discussing set topics to deepen understanding, develop critical thinking, and promote diverse viewpoints.

Group Work & Collaborative Learning: Students will work in teams on projects, case studies, or problem-solving tasks. This will allow to foster teamwork, collaborative problem-solving, and diverse perspectives.

Flipped Classroom: Students will review lecture materials or videos at home, freeing up class time for interactive exercises and discussions.

Guest Lectures & Expert Sessions: Experts from the field will be invited to provide insights, experiences, and real-world knowledge. The objective is to bridge the gap between academia and the professional world and expose students to current trends.

Modalità di verifica e valutazione dell'apprendimento

Below are the primary assessment methods we will employ to evaluate your understanding and application of the course material throughout the semester.

1. Group Projects:

   • Description: Students will collaborate in teams to tackle specific problems or topics related to the course. These projects will require collective research, analysis, and synthesis of information, culminating in a presentation or report.
   • Assessment Criteria: Depth and breadth of research, cohesiveness of group work, clarity and effectiveness of presentation or report, and ability to address feedback.

2. Individual Assignments:

   • Description: Personal tasks designed to challenge each student on various aspects of the course. Assignments might range from essays and case study analyses to practical tasks and reflective journals.
   • Assessment Criteria: Thoroughness of research, clarity and coherence of writing, originality, and alignment with assignment guidelines.

3. Classroom Participation:

   • Description: Active engagement in class activities, discussions, and debates. Students are encouraged to ask questions, share insights, and offer constructive critiques.
   • Assessment Criteria: Regularity and quality of contributions, respect for diverse viewpoints, and evidence of preparedness and engagement with readings and materials.

4. Final Examination:

   • Description: A multiple-choice questions exam that covers all major topics, themes, and material from the course.
   • Assessment Criteria: Accuracy of responses

Strumenti a supporto della didattica

PDFs

Slides

MS Teams

Orario di ricevimento

Consulta il sito web di Federico Fraboni