Understanding Emoji Interpretation through User Personality and Message Context

被引:21
作者
Voekel, Sarah Theres [1 ]
Buschek, Daniel [1 ]
Pranjic, Jelena [1 ]
Hussmann, Heinrich [1 ]
机构
[1] Ludwig Maximilians Univ Munchen, Munich, Germany
来源
PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES (MOBILEHCI'19) | 2019年
关键词
Big Five; emojis; mobile text messaging; personality; survey; EXTROVERSION; COMMUNICATION; NEUROTICISM; EMOTICON; BEHAVIOR; MODEL;
D O I
10.1145/3338286.3340114
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Emojis are commonly used as non-verbal cues in texting, yet may also lead to misunderstandings due to their often ambiguous meaning. User personality has been linked to understanding of emojis isolated from context, or via indirect personality assessment through text analysis. This paper presents the first study on the influence of personality (measured with BFI-2) on understanding of emojis, which are presented in concrete mobile messaging contexts: four recipients (parents, friend, colleague, partner) and four situations (information, arrangement, salutory, romantic). In particular, we presented short text chat scenarios in an online survey (N=646) and asked participants to add appropriate emojis. Our results show that personality factors influence the choice of emojis. In another open task participants compared emojis found as semantically similar by related work. Here, participants provided rich and varying emoji interpretations, even in defined contexts. We discuss implications for research and design of mobile texting interfaces.
引用
收藏
页数:12
相关论文
共 75 条
  • [1] Ai W., 2017, Proceedings of the Eleventh International AAAI Conference on Web and Social Media - ICWSM'17, P2
  • [2] Look Like Me: Matching Robot Personality via Gaze to Increase Motivation
    Andrist, Sean
    Mutlu, Bilge
    Tapus, Adriana
    [J]. CHI 2015: PROCEEDINGS OF THE 33RD ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2015, : 3603 - 3612
  • [3] [Anonymous], 1992, J Pers, V60, P175
  • [4] [Anonymous], 2015, THESIS
  • [5] [Anonymous], 2018, Mobile operating system market share worldwide
  • [6] Barbieri Francesco, 2016, P LANG RES EV C, V6
  • [7] Barbieri Francesco, 2017, CORR, P7
  • [8] Barbieri Francesco, 2016, P 24 ACM INT C MULT, P531, DOI DOI 10.1145/2964284.2967278
  • [9] BATTESTINI A, 2010, P 12 INT C HUM COMP, P229, DOI [10.1145/1851600.1851638, DOI 10.1145/1851600.1851638]
  • [10] The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual Analysis of Vlogs
    Biel, Joan-Isaac
    Gatica-Perez, Daniel
    [J]. IEEE TRANSACTIONS ON MULTIMEDIA, 2013, 15 (01) : 41 - 55