Abstract
Introduction:
This study explores the integration of a service robot, Bella, into a higher education hospitality educational hub (a full-service commercial restaurant operating five lunches and three dinners a week). The research is situated within the context of disruptive innovation in hospitality and tourism education, examining how robotic technologies challenge traditional service paradigms and pedagogical practices. Bella’s presence sparked curiosity, debate, and reflection among students, staff, and guests, offering a unique opportunity to investigate the implications of robotic assistance in a fine dining environment. The study responds to growing interest in automation and artificial intelligence (AI) in service industries, particularly in post-pandemic contexts where technology adoption accelerated.
Theoretical background | The research is grounded in theories of disruptive innovation (Christensen, 1997), experiential learning (Kolb, 1984), and autoethnography (Ellis et al., 2011). Disruptive innovation theory frames Bella’s introduction as a pedagogical experiment that challenges conventional hospitality norms. Experiential learning theory supports the use of Bella as a tool for immersive student engagement, while autoethnography allows researchers to reflect on personal and collective experiences. The study also draws on literature concerning robotic service in hospitality (Choi et al., 2020), highlighting tensions between technological efficiency and the human touch.
Methodology:
An autoethnographic approach (Ellis et al, 2011) was employed, involving six researchers documenting their experiences and reflections over a two-week period during Bella’s deployment. Data sources included personal diaries, team discussions, participant observations, and thematic analysis using NVivo and AI tools (comparisons between human thematic analysis versus ChatGPT, Copilot and Gemini). The setting was a university-operated fine dining restaurant, where Bella was tasked with food delivery and customer interaction. Reflexivity was central to the methodology, with researchers critically examining their biases, particularly around technophilia and technophobia. Thematic analysis identified recurring patterns related to emotional responses, operational challenges, pedagogical value, and ethical concerns.
Findings:
The findings reveal a complex and evolving relationship between humans and robots in hospitality education. Initial reactions ranged from excitement and novelty to scepticism and resistance. Students expressed concerns about job displacement but also recognised Bella’s potential to enhance learning. Staff responses varied, with some viewing Bella as a gimmick and others appreciating her contribution to workflow efficiency. Customers’ reactions were similarly mixed, some found Bella engaging and memorable, while others preferred traditional human service.
Key themes emerged:
1. Emotional and Cultural Responses: Bella evoked empathy, curiosity, and even affection. Students anthropomorphized her, referring to her as a team member and expressing concern for her “well-being.” This emotional engagement suggests that robots can foster meaningful interactions, albeit limited by their programming.
2. Pedagogical Value: Bella facilitated experiential learning, particularly in developing soft skills such as communication, adaptability, and teamwork. Students used Bella to practice service routines, manage customer expectations, and reflect on technological integration.
3. Operational Integration: Bella’s functionality was constrained by the restaurant’s physical layout and service style. While effective in clearing tables and delivering items, she struggled in high-pressure scenarios and lacked the flexibility of human staff. Her presence required adjustments in workflow and raised questions about design compatibility.
4. Ethical and Philosophical Tensions: The study surfaced ethical concerns about automation in hospitality. Researchers and students debated the implications of replacing human labour with machines, the loss of emotional intelligence in service, and the commodification of hospitality. Bella’s unplugging and eventual removal symbolised the transient nature of technological novelty and the enduring value of human connection.
5. Symbolism and Artistic Interpretation: One researcher created an oil painting titled Bella – Eyes of Innovation, depicting Bella as a central figure in a technologically saturated academic landscape. The artwork reflects societal anxieties and aspirations surrounding AI, surveillance, and the future of education.
Contributions and implications | This study contributes to the discourse on robotic integration in hospitality education by offering a nuanced, human-centered perspective. It demonstrates that robots can serve as catalysts for learning, reflection, and innovation, but must be thoughtfully integrated to avoid undermining core values of hospitality. The autoethnographic method provides rich, contextual insights that quantitative approaches may overlook.
Implications for practice include:
• Curriculum Design: Hospitality programs should incorporate AI and robotics into experiential learning modules, preparing students for technologically augmented workplaces.
• Staff Development: Educators must engage with emerging technologies to model adaptability and critical thinking.
• Industry Collaboration: Partnerships with suppliers and tech firms can facilitate meaningful experimentation and innovation.
• Ethical Leadership: Institutions must navigate the ethical terrain of automation, ensuring that technology complements rather than replaces human service.
• Methodological cocreation: Researchers may compare their thematic analysis to that of AI-generated to examine personal biases (especially useful in autoethnographic studies)
Conclusion:
Bella’s brief tenure in the Academy restaurant illuminated the possibilities and limitations of robotic service in hospitality education. While she enhanced operational efficiency and provoked valuable discussions, her presence also underscored the irreplaceable nature of human interaction. The study advocates for a balanced approach to technological integration, one that honours tradition while embracing innovation. As hospitality evolves, educators must equip students to critically engage with technology, robots and A.I in a responsible manner fostering resilience, empathy, and creativity in a rapidly changing industry.
This study explores the integration of a service robot, Bella, into a higher education hospitality educational hub (a full-service commercial restaurant operating five lunches and three dinners a week). The research is situated within the context of disruptive innovation in hospitality and tourism education, examining how robotic technologies challenge traditional service paradigms and pedagogical practices. Bella’s presence sparked curiosity, debate, and reflection among students, staff, and guests, offering a unique opportunity to investigate the implications of robotic assistance in a fine dining environment. The study responds to growing interest in automation and artificial intelligence (AI) in service industries, particularly in post-pandemic contexts where technology adoption accelerated.
Theoretical background | The research is grounded in theories of disruptive innovation (Christensen, 1997), experiential learning (Kolb, 1984), and autoethnography (Ellis et al., 2011). Disruptive innovation theory frames Bella’s introduction as a pedagogical experiment that challenges conventional hospitality norms. Experiential learning theory supports the use of Bella as a tool for immersive student engagement, while autoethnography allows researchers to reflect on personal and collective experiences. The study also draws on literature concerning robotic service in hospitality (Choi et al., 2020), highlighting tensions between technological efficiency and the human touch.
Methodology:
An autoethnographic approach (Ellis et al, 2011) was employed, involving six researchers documenting their experiences and reflections over a two-week period during Bella’s deployment. Data sources included personal diaries, team discussions, participant observations, and thematic analysis using NVivo and AI tools (comparisons between human thematic analysis versus ChatGPT, Copilot and Gemini). The setting was a university-operated fine dining restaurant, where Bella was tasked with food delivery and customer interaction. Reflexivity was central to the methodology, with researchers critically examining their biases, particularly around technophilia and technophobia. Thematic analysis identified recurring patterns related to emotional responses, operational challenges, pedagogical value, and ethical concerns.
Findings:
The findings reveal a complex and evolving relationship between humans and robots in hospitality education. Initial reactions ranged from excitement and novelty to scepticism and resistance. Students expressed concerns about job displacement but also recognised Bella’s potential to enhance learning. Staff responses varied, with some viewing Bella as a gimmick and others appreciating her contribution to workflow efficiency. Customers’ reactions were similarly mixed, some found Bella engaging and memorable, while others preferred traditional human service.
Key themes emerged:
1. Emotional and Cultural Responses: Bella evoked empathy, curiosity, and even affection. Students anthropomorphized her, referring to her as a team member and expressing concern for her “well-being.” This emotional engagement suggests that robots can foster meaningful interactions, albeit limited by their programming.
2. Pedagogical Value: Bella facilitated experiential learning, particularly in developing soft skills such as communication, adaptability, and teamwork. Students used Bella to practice service routines, manage customer expectations, and reflect on technological integration.
3. Operational Integration: Bella’s functionality was constrained by the restaurant’s physical layout and service style. While effective in clearing tables and delivering items, she struggled in high-pressure scenarios and lacked the flexibility of human staff. Her presence required adjustments in workflow and raised questions about design compatibility.
4. Ethical and Philosophical Tensions: The study surfaced ethical concerns about automation in hospitality. Researchers and students debated the implications of replacing human labour with machines, the loss of emotional intelligence in service, and the commodification of hospitality. Bella’s unplugging and eventual removal symbolised the transient nature of technological novelty and the enduring value of human connection.
5. Symbolism and Artistic Interpretation: One researcher created an oil painting titled Bella – Eyes of Innovation, depicting Bella as a central figure in a technologically saturated academic landscape. The artwork reflects societal anxieties and aspirations surrounding AI, surveillance, and the future of education.
Contributions and implications | This study contributes to the discourse on robotic integration in hospitality education by offering a nuanced, human-centered perspective. It demonstrates that robots can serve as catalysts for learning, reflection, and innovation, but must be thoughtfully integrated to avoid undermining core values of hospitality. The autoethnographic method provides rich, contextual insights that quantitative approaches may overlook.
Implications for practice include:
• Curriculum Design: Hospitality programs should incorporate AI and robotics into experiential learning modules, preparing students for technologically augmented workplaces.
• Staff Development: Educators must engage with emerging technologies to model adaptability and critical thinking.
• Industry Collaboration: Partnerships with suppliers and tech firms can facilitate meaningful experimentation and innovation.
• Ethical Leadership: Institutions must navigate the ethical terrain of automation, ensuring that technology complements rather than replaces human service.
• Methodological cocreation: Researchers may compare their thematic analysis to that of AI-generated to examine personal biases (especially useful in autoethnographic studies)
Conclusion:
Bella’s brief tenure in the Academy restaurant illuminated the possibilities and limitations of robotic service in hospitality education. While she enhanced operational efficiency and provoked valuable discussions, her presence also underscored the irreplaceable nature of human interaction. The study advocates for a balanced approach to technological integration, one that honours tradition while embracing innovation. As hospitality evolves, educators must equip students to critically engage with technology, robots and A.I in a responsible manner fostering resilience, empathy, and creativity in a rapidly changing industry.
| Original language | English |
|---|---|
| Publication status | Published (in print/issue) - 27 Nov 2025 |
| Event | Mediterranean Tourism Forum: & Research Forum - Malta Duration: 26 Nov 2025 → 28 Nov 2025 https://mediterraneantourismresearch.com/ |
Conference
| Conference | Mediterranean Tourism Forum |
|---|---|
| Period | 26/11/25 → 28/11/25 |
| Internet address |
Keywords
- service robots
- autoethnography
- service
- Robot
- experiential learning
- Disruption innovation
- human robot interaction
- Hospitality management
- Hospitality Education