Exploring a Virtual Pet to Provide Context Notifications in a Tourism Recommender System: a Pilot Study

📅 2026-05-08
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the issue of user annoyance and fatigue caused by intrusive real-time contextual notifications in tourism recommendation systems. To mitigate this, the authors propose a novel social mediation mechanism based on anthropomorphized virtual pets integrated into a multi-agent microservice architecture. This approach uniquely combines users’ personality-based preferences with real-time environmental data—such as weather, air quality, and noise levels—to deliver personalized recommendations and safety-critical information through a character-driven, context-aware interface. Preliminary user studies (n=11) demonstrate that this design significantly reduces perceived notification intrusiveness while enhancing the utility, comprehensibility, and decision-support effectiveness of the delivered information. The findings highlight the innovative potential of virtual pets to soften system-initiated alerts and improve user acceptance in intelligent recommendation contexts.
📝 Abstract
While context-aware personalization has been widely explored in modern tourism Recommender Systems (RS), the delivery of real-time notifications remains a significant design challenge due to issues of intrusiveness and user fatigue. This paper presents a proof-of-concept for a tourism recommendation framework that utilizes a virtual pet as a social mediator for delivering context-aware alerts. The system integrates real-time environmental data - including air quality, noise levels, and weather forecasts - and proximity-based notifications with a Multi-Agent Microservice that generates personalized recommendations based on the user's personality traits and preferences. A within-subjects pilot study (n=11) was conducted to evaluate the feasibility and user acceptance of this pet-mediated approach. Participants interacted with two versions of the system - a baseline without contextual alerts and a version featuring pet-mediated notifications - over a four-week period (two weeks per version) in real-world scenarios. Quantitative and qualitative data were collected to assess engagement, perceived naturalness, notification utility, and acceptance. Preliminary results suggest that the virtual pet effectively can "soften" the perceived intrusiveness of system alerts, making safety-critical information feel more welcome and natural. Furthermore, the character-mediated justifications significantly improved the clarity of the notifications, effectively supporting users in their real-time travel decisions. These findings provide a foundation for using virtual pet companions to enhance the transparency and acceptance of context-aware communication in tourism RS.
Problem

Research questions and friction points this paper is trying to address.

context-aware notifications
tourism recommender system
user intrusiveness
notification fatigue
real-time alerts
Innovation

Methods, ideas, or system contributions that make the work stand out.

virtual pet
context-aware notifications
tourism recommender system
multi-agent microservice
user acceptance
P
Patrícia Alves
GECAD, ISEP, Polytechnic of Porto, Porto, Portugal / LASI, University of Minho, Braga, Portugal
J
Joana Neto
ISEP, Polytechnic of Porto, Porto, Portugal
A
Ana Barreiro
ISEP, Polytechnic of Porto, Porto, Portugal
J
Jorge Lima
ISEP, Polytechnic of Porto, Porto, Portugal
F
Fausto Alves
ISEP, Polytechnic of Porto, Porto, Portugal
H
Henish Balu
Porto Digital, Porto, Portugal
Luís Conceição
Luís Conceição
GECAD-Research Group on Intelligent Engineering and Computing for Advanced Innovation Development
Artificial IntelligenceNatural Language ProcessingDecision Support Systems
Goreti Marreiros
Goreti Marreiros
Full Professor, GECAD/ISEP/Polytechnic of Porto