{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T08:58:24Z","timestamp":1773392304675,"version":"3.50.1"},"reference-count":109,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T00:00:00Z","timestamp":1655683200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Informatics"],"abstract":"<jats:p>This exploratory study examines the effectiveness of social robots\u2019 ability to deliver advertising messages using different \u201cappeals\u201d 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\u2019 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\u2019 ability to deliver different advertising messages. It has practical implications for businesses as a growing number seek to employ humanoids to promote their services.<\/jats:p>","DOI":"10.3390\/informatics9020049","type":"journal-article","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T01:43:27Z","timestamp":1655775807000},"page":"49","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["The Effectiveness of Robot-Enacted Messages to Reduce the Consumption of High-Sugar Energy Drinks"],"prefix":"10.3390","volume":"9","author":[{"given":"Isha","family":"Kharub","sequence":"first","affiliation":[{"name":"School of Business, Western Sydney University, Penrith 2751, Australia"}]},{"given":"Michael","family":"Lwin","sequence":"additional","affiliation":[{"name":"School of Business, Western Sydney University, Penrith 2751, Australia"}]},{"given":"Aila","family":"Khan","sequence":"additional","affiliation":[{"name":"School of Business, Western Sydney University, Penrith 2751, Australia"}]},{"given":"Omar","family":"Mubin","sequence":"additional","affiliation":[{"name":"School of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith 2751, Australia"}]},{"given":"Suleman","family":"Shahid","sequence":"additional","affiliation":[{"name":"Computer Human Interaction and Social Experience Lab (CHISEL), Syed Babar Ali School of Science and Engineering (SBASSE), Lahore University of Management Sciences, Lahore 54972, Pakistan"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1002\/pa.1411","article-title":"Web 2.0, social media and creative consumers\u2014Implications for public policy; introduction to the special edition","volume":"12","author":"Pitt","year":"2012","journal-title":"J. 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