Flavor-Videos: Enhancing the Flavor Perception of Food while Eating with Videos

Meetha Nesam James, Nimesha Ranasinghe, Anthony Tang, and Lora Oehlberg. (2022). Flavor-Videos: Enhancing the Flavor Perception of Food while Eating with Videos . In IMX 2022: ACM International Conference on Interactive Media Experiences. Acceptance: 40% - 19/47.

Abstract

People are typically involved in different activities while eating, particularly when eating alone, such as watching television or playing games on their phones. Previous research in Human-Food Interaction (HFI) has primarily focused on studying the motivation, and analysis of the media content watched while eating. However, their impact on human behavioral and cognitive processes, particularly flavor perception and its attributes, remains underexplored. We present a user study to investigate the influence of six types of videos, including mukbang - a new food video genre, on flavor perceptions (taste sensations, liking, and emotions) while eating plain white rice. Our findings revealed that participants perceived positive emotional changes and reported significant differences in their augmented taste sensations (e.g., spicy and salty) with different food-based videos. Our findings provided insights into using our approach to promote digital commensality and healthier eating (digital augmentation without altering the food), highlighting the scope for future research.

Materials

PDF File (https://hcitang.org/papers/2022-imx2022-james-flavor-videos.pdf)
URL (https://imx.acm.org/2022/)
DOI (http://doi.acm.org?doi=3505284.3529967)

BibTeX

@inproceedings{james2022flavorvideos,
  author = {James, Meetha Nesam and Ranasinghe, Nimesha and Tang, Anthony and Oehlberg, Lora},
  title = { Flavor-Videos: Enhancing the Flavor Perception of Food while Eating with Videos },
  booktitle = {IMX 2022: ACM International Conference on Interactive Media Experiences},
  pdfurl = {https://hcitang.org/papers/2022-imx2022-james-flavor-videos.pdf},
  year = {2022},
  type = {conference},
  url = {https://imx.acm.org/2022/},
  acceptance = {40% - 19/47},
  doi = {http://doi.acm.org?doi=3505284.3529967}
}