Rendezfood: A Design Case Study of a Conversational Location-based Approach in Restaurants
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866929663818858496 |
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| author | Weber, Philip Krings, Kevin Schröder, Lukas Michel, Lea Katharina Ludwig, Thomas |
| author_facet | Weber, Philip Krings, Kevin Schröder, Lukas Michel, Lea Katharina Ludwig, Thomas |
| contents | The restaurant industry is currently facing a challenging socio-economic situation caused by the rise of delivery services, inflation, and typically low margins. Often, technological opportunities for process optimization or customer retention are not fully utilized. In our design case study, we investigate which technologies are already being used to improve the customer experience in restaurants and explore a novel new approach to this issue. We designed, implemented, and evaluated a platform with customers and restaurateurs to increase visibility and emotional connection to nearby restaurants through their dishes. Some of our key findings include the enormous potential of combining location-based systems and conversational agents, but also the difficulties in creating content for such platforms. We contribute to the field of Human-Food Interaction by (1) identifying promising design spaces as well as customer and restaurateur requirements for technology in this domain, (2) presenting an innovative design case study to improve the user experience, and (3) exploring the broader implications of our design case study findings for approaching a real-world metaverse. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_03862 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Rendezfood: A Design Case Study of a Conversational Location-based Approach in Restaurants Weber, Philip Krings, Kevin Schröder, Lukas Michel, Lea Katharina Ludwig, Thomas Human-Computer Interaction J.4 The restaurant industry is currently facing a challenging socio-economic situation caused by the rise of delivery services, inflation, and typically low margins. Often, technological opportunities for process optimization or customer retention are not fully utilized. In our design case study, we investigate which technologies are already being used to improve the customer experience in restaurants and explore a novel new approach to this issue. We designed, implemented, and evaluated a platform with customers and restaurateurs to increase visibility and emotional connection to nearby restaurants through their dishes. Some of our key findings include the enormous potential of combining location-based systems and conversational agents, but also the difficulties in creating content for such platforms. We contribute to the field of Human-Food Interaction by (1) identifying promising design spaces as well as customer and restaurateur requirements for technology in this domain, (2) presenting an innovative design case study to improve the user experience, and (3) exploring the broader implications of our design case study findings for approaching a real-world metaverse. |
| title | Rendezfood: A Design Case Study of a Conversational Location-based Approach in Restaurants |
| topic | Human-Computer Interaction J.4 |
| url | https://arxiv.org/abs/2501.03862 |