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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19657505 |
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| _version_ | 1866901549285900288 |
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| author | Christina, Julia |
| author_facet | Christina, Julia |
| contents | <p class="papertitle"><span>The introduction of AI-driven self-service in restaurants has been swift, fundamentally altering the nature of customer service interactions. Customers’ experiences dining at these AI-enabled restaurants have also revealed that intelligent systems need to be more human-centered. The intention of this research is to discover the effect of technology readiness towards attitudes toward using restaurant self-ordering technology, with perceived ease of use, perceived usefulness, and perceived speed as mediating aspects. Through a quantitative analysis of 200 respondents located in the JABOTABEK region that have experience using restaurant self-ordering technology. The data was evaluated through PLS-SEM system. This research reveals a positive effect of Technology Readiness on each variable, but it does not have considerable direct impact on Attitude Toward Using. The analysis of mediations revealed that customer attitude was positively impacted by Perceived Ease of Use and Perceived Speed, whereas Perceived Usefulness displayed insignificant effect. Overall, Perceived Speed was revealed as the strongest predictor implying that customers prioritize fast and easy service over useful functionality when interacting with intelligent restaurant systems. This study builds upon existing knowledge with an additional layer of understanding about human-centric AI implementation. Intelligent service technologies are meant to benefit both humans and organizations, but restaurants should also focus on providing quick, seamless, and easy customer experience through this technology.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19657505 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Enhancing Customer Experience through Human-Centered AI in Self Ordering Restaurant Systems Christina, Julia <p class="papertitle"><span>The introduction of AI-driven self-service in restaurants has been swift, fundamentally altering the nature of customer service interactions. Customers’ experiences dining at these AI-enabled restaurants have also revealed that intelligent systems need to be more human-centered. The intention of this research is to discover the effect of technology readiness towards attitudes toward using restaurant self-ordering technology, with perceived ease of use, perceived usefulness, and perceived speed as mediating aspects. Through a quantitative analysis of 200 respondents located in the JABOTABEK region that have experience using restaurant self-ordering technology. The data was evaluated through PLS-SEM system. This research reveals a positive effect of Technology Readiness on each variable, but it does not have considerable direct impact on Attitude Toward Using. The analysis of mediations revealed that customer attitude was positively impacted by Perceived Ease of Use and Perceived Speed, whereas Perceived Usefulness displayed insignificant effect. Overall, Perceived Speed was revealed as the strongest predictor implying that customers prioritize fast and easy service over useful functionality when interacting with intelligent restaurant systems. This study builds upon existing knowledge with an additional layer of understanding about human-centric AI implementation. Intelligent service technologies are meant to benefit both humans and organizations, but restaurants should also focus on providing quick, seamless, and easy customer experience through this technology.</span></p> |
| title | Enhancing Customer Experience through Human-Centered AI in Self Ordering Restaurant Systems |
| url | https://doi.org/10.5281/zenodo.19657505 |