I am interested in a wide range of research subjects, which can be roughly described as Pro-Social Marketing, Marketing Communication, Consumer Behavior, and WOM. I investigate most of these topics from a linguistic perspective.
Here you can find some published stuff.
Below are titles of recent projects I am developing, with a brief description of what I am up to.
Current Projects:
Semantic Precision in Marketing Communication. We define Semantic precision and test its boundaries. We also identify the differences between Semantic and Numerical precision in various Marketing contexts.
Potato, Potato: Why Nutrition Claims Are So Confusing?
This work explores confusing nutrition claims, such as sugar-free versus no-sugar-added. We show that people have very little knowledge about the actual meaning of nutrition claims, but this is not because of ignorance. Rather, people rely on common sense when deciphering nutrition claims, whereas the true meaning of each claim is not always exactly what it says. For example, while zero sugar means there is no sugar in the product, Sugar-free means there are less than 0.5 grams of sugar per serving.
Media mentions: https://sentientmedia.org/plant-based-sells-better-than-vegan/
Are you Siri-ous? Figurative Language in Use by Artificial Intelligence Agents. This project joins the discussion of the conversational abilities of AI agents, and customers’ expectations regarding the language they use. We explore customer reactions to AI chatbots using figurative language, like metaphor, rhyme, hyperbole or humor. We also test how perceptions of conversational cooperativeness can explain the non-enthusiastic responses to AI agents using figurative language.
Conversational Cooperativeness Scale. This is a scale I have validated through experiments in several domains. To the best of my knowledge, this is the first attempt to quantify expectations for conversational cooperativeness. The scale can be found here.