Redirigiendo al acceso original de articulo en 23 segundos...
Inicio  /  Informatics  /  Vol: 9 Par: 2 (2022)  /  Artículo
ARTÍCULO
TITULO

The Effectiveness of Robot-Enacted Messages to Reduce the Consumption of High-Sugar Energy Drinks

Isha Kharub    
Michael Lwin    
Aila Khan    
Omar Mubin and Suleman Shahid    

Resumen

This exploratory study examines the effectiveness of social robots? ability to deliver advertising messages using different ?appeals? in a business environment. Specifically, it explores the use of three types of message appeals in a human-robot interaction scenario: guilt, humour and non-emotional. The study extends past research in advertising by exploring whether messages communicated by social robots can impact consumers? behaviour. Using an experimental research design, the emotional-themed messages focus on the health-related properties of two fictitious energy drink brands. The findings show mixed results for humour and guilt messages. When the robot delivered a promotion message using humour, participants perceived it as being less manipulative. Participants who were exposed to humourous messages also demonstrated a significantly greater intent for future purchase decisions. However, guilt messages were more likely to persuade consumers to change their brand selection. This study contributes to the literature as it provides empirical evidence on the social robots? ability to deliver different advertising messages. It has practical implications for businesses as a growing number seek to employ humanoids to promote their services.

 Artículos similares

       
 
Rafael Cirino Gonçalves, Tyron Louw, Yee Mun Lee, Ruth Madigan, Jonny Kuo, Mike Lenné and Natasha Merat    
The aim of this study was to compare the success of two different Human Machine Interfaces (HMIs) in attracting drivers? attention when they were engaged in a Non-Driving-Related Task (NDRT) during SAE Level 3 driving. We also assessed the value of each ... ver más
Revista: Information

 
Kashan Ahmed, Ayesha Altaf, Nor Shahida Mohd Jamail, Faiza Iqbal and Rabia Latif    
Modern distributed systems that operate concurrently generate interleaved logs. Identifiers (ID) are always associated with active instances or entities in order to track them in logs. Consequently, log messages with similar IDs can be categorized to aid... ver más
Revista: Applied Sciences

 
João Pedro Vitorino, José Simão, Nuno Datia and Matilde Pato    
This paper presents IRONEDGE, an architectural framework that can be used in different edge Stream Processing solutions for ?Smart Infrastructure? scenarios, on a case-by-case basis. The architectural framework identifies the common components that any s... ver más
Revista: Algorithms

 
Zulfiqar Ahmad, Tayfun Acarer and Wooseong Kim    
To ensure safe, effective, and efficient marine operations, the optimization of maritime communication workflows with a task-oriented scheduling framework is of the utmost importance. Navigation, vessel traffic management, emergency response, and cargo o... ver más

 
Noemí Merayo, Jesús Vegas, César Llamas and Patricia Fernández    
The system presented in this study was aimed at business, organisation, government, and consumer areas, whereas a real-time application is needed for the classification of social network messages written in Spanish through sentiment semantics metadata. O... ver más
Revista: Applied Sciences