Artificial intelligence use in sports betting for improved player interaction: Machine/human interface
Session Title
Session 2-1-E: New Horizons and Generations in Gaming
Presentation Type
Paper Presentation
Location
Park MGM, Las Vegas, NV
Start Date
24-5-2023 9:00 AM
End Date
24-5-2023 10:30 AM
Disciplines
Hospitality Administration and Management
Abstract
This study looks at the customer perception and intention to use service robots and kiosk in sports betting. After interviewing eight gaming experts, the latest trends, and obstacles in the adoption of technology (specifically service robots) in gaming industry were revealed. Following the interviews, a surveys was conducted to measure patron’s perception towards service robot (n=446) in sport books. Using cluster analysis patrons were identified to belong to two groups of enthusiast adopter and ordinary user; the first is eager to use service robots in casinos, while the later prefers to use human agents. Enthusiast adopters were younger, more educated, and married, while the ordinary user group were found to be older, less educated, and single. The outcomes will also help casino managers by providing detailed feedback from customers about each agent. Moreover, the findings could help tech developers to improve human/machine interface.
Keywords
Artificial intelligence, gaming, sports betting, service robot
Funding Sources
International Center for Gaming Regulations (ICGR)
Artificial intelligence use in sports betting for improved player interaction: Machine/human interface
Park MGM, Las Vegas, NV
This study looks at the customer perception and intention to use service robots and kiosk in sports betting. After interviewing eight gaming experts, the latest trends, and obstacles in the adoption of technology (specifically service robots) in gaming industry were revealed. Following the interviews, a surveys was conducted to measure patron’s perception towards service robot (n=446) in sport books. Using cluster analysis patrons were identified to belong to two groups of enthusiast adopter and ordinary user; the first is eager to use service robots in casinos, while the later prefers to use human agents. Enthusiast adopters were younger, more educated, and married, while the ordinary user group were found to be older, less educated, and single. The outcomes will also help casino managers by providing detailed feedback from customers about each agent. Moreover, the findings could help tech developers to improve human/machine interface.