Rendezfood: A Design Case Study of a Conversational Location-based Approach in Restaurants

TL;DR

This paper presents a design case study of Rendezfood, a platform that uses location-based systems and conversational agents to enhance restaurant customer experience and emotional connection, addressing industry challenges.

Contribution

It introduces a novel approach combining location and conversational technology in restaurants, with insights into design requirements and real-world implications.

Findings

High potential of location-based and conversational systems in restaurants

Challenges in content creation for such platforms

Insights into user and restaurateur requirements

Abstract

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.