Emotional tagging with lifelog photos by sharing different levels of autobiographical narratives

Ahreum Lee, Hokyoung Blake Ryu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The lifelogging camera continuously captures one’s surroundings, therefore lifelog photos can form a medium by which to sketch out and share one’s autobiographical memory with others. Frequently, the lifelog photos do not provide the context or significance of the situations to those not present when the photos were taken. This paper solicits the social value of the lifelog photos by proposing different levels of autobiographical narratives within Panofsky’s framework. By measuring the narrative engagement with questionnaire and the activation level of the lateral prefrontal cortex (LPFC), we have found that delivery the autobiographical narrative at the iconological level triggers the receiver’s empathetic response and emotional tagging of the sharer’s lifelog photos.

Original languageEnglish
Title of host publicationSoutheast Asia Computer Human Interaction (SEACHI) - Asian CHI Symposium 2018
Subtitle of host publicationEmerging Research Collections, Asian HCI 2018
EditorsEunice Sari
PublisherAssociation for Computing Machinery
Pages29-32
Number of pages4
ISBN (Electronic)9781450356411
DOIs
Publication statusPublished - 2018 Apr 21
Event2nd Asian CHI Symposium 2018: Emerging Research Collections, Asian HCI 2018 - Montreal, Canada
Duration: 2018 Apr 212018 Apr 26

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2nd Asian CHI Symposium 2018: Emerging Research Collections, Asian HCI 2018
CountryCanada
CityMontreal
Period18/04/2118/04/26

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Keywords

  • Autobiographical narrative
  • Emotional tagging
  • Level of meaning
  • Lifelog photo

Cite this

Lee, A., & Ryu, H. B. (2018). Emotional tagging with lifelog photos by sharing different levels of autobiographical narratives. In E. Sari (Ed.), Southeast Asia Computer Human Interaction (SEACHI) - Asian CHI Symposium 2018: Emerging Research Collections, Asian HCI 2018 (pp. 29-32). (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3205851.3205860