Artificial Intelligence and Service Robotics in Hospitality Business (5 cr)
Code: HOS017AS2AE-3003
Basic information of implementation
- Timing
- 23.03.2026 - 15.05.2026
- The implementation has not yet started.
- ECTS Credits
- 5 cr
- Campus
- Haaga Campus
- Teaching languages
- English
- Seats
- 15 - 40
- Degree programmes
- EXPER Hospitality and Tourism Experience Management
- Teachers
- Joel Pakalén
- Pasi Tuominen
- Groups
-
MALTA2025KMaltan opiskelijat Haaga kevät 2025, lukkariryhmä
-
REE4HA1Hospitality and Tourism Experience Management, 4th semester, Haaga
-
CONTACTContact implementation
-
EXCHEXCH Exchange students
- Course
- HOS017AS2AE
Evaluation scale
H-5
Schedule
Will be informed in the beginning of studies.
Implementation methods, demonstration and Work&Study
Lectures, visiting lectures, hands-on demo sessions, RPL
Intro
The robots are coming!! Technology poses to automate more tasks in hospitality. Forward-looking professionals need to understand the current state and future outlook of automation in hospitality in order to lead the way (and to prevent Skynet from taking over the world!)
Materials
Study material will be provided in Moodle.
Literature will be provided in the beginning of studies.
Teaching methods and instruction
Learning objectives
*Is able to identify realistic opportunities for applying AI and service robotics in hospitality business
*Is able to critically assess the operational, managerial and ethical implications of automating specific hospitality tasks
*Is able to build a realistic business case and strategic roadmap for leveraging AI and service robots in hospitality in the short- and long-term
Contents
*Introduction to artificial intelligence (AI) and service robotics in hospitality business
*From Human-Computer Interaction to Human-AI Interaction: theories underpinning the field
*Building a business case for applying AI and service robotics in hospitality business
*Strategic and operational implications of using AI and service robotics in hospitality
*AI ethics
Working life connections
Professional technologies.
Guest lectures.
Exam dates and re-exam possibilities
Will be informed in the beginning of studies.
Internationality
International business environment connection and global technologies.
Learning assignments
Assignments linked with different experience economy areas.
Details will be given in the beginning of studies.
Assessment methods
Three individual assignments
One group assignment
Assessment criteria
Assessment criteria - grade 1
The student is able to recognise and understand the major turning points in AI and service robotics theory and practice and how they relate to hospitality business. The student is able to describe the key elements needed for building a successful AI and service robotics business case.
Assessment criteria - grade 3
The student is able to analyse the different turning points in AI and service robotics theory and practice, including how they relate to hospitality business. The student is able to develop a compelling AI and service robotics business case, with some consideration for AI ethics.
Assessment criteria - grade 5
The student is able to critique the overall development of AI and robotics in general and in relation to hospitality business. The student is able to build a strong business case for using AI and service robotics in different hospitality business contexts, also critically considering the broader implications of technology use (e.g. AI ethics).