Consumer Attention to a Coffee Brewing Robot: An Eye-Tracking Study

被引:1
|
作者
Lee, Cho-Long [1 ]
Kim, Sunmin [1 ]
Lim, Manyoel [1 ]
Hwang, Sungjae [2 ]
Kim, Daekwang [2 ]
Kwak, Han Sub [1 ,3 ]
机构
[1] Korea Food Res Inst, Food Proc Res Grp, Wanju, South Korea
[2] XYZ Co, Seoul, South Korea
[3] Univ Sci & Technol, KFRI Sch, Wanju, South Korea
关键词
barista; coffee; eye-tracking; food robot; visual attention; GAZE BIAS; GAZING BEHAVIOR; FOOD CHOICE; RESTAURANT; CONTEXT; PREDICT; DESIGN; MODEL; TIME;
D O I
10.1111/joss.12950
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
During the COVID-19, robots were increasingly utilized in the food service industry. This study compared perceptions of robot and human baristas by tracking participants' eye-gaze behavior. Seventy participants viewed videos and images of both baristas, and their eye movements were tracked. Metrics such as entry time, dwell time, total fixation, hit ratio, revisits, revisitors, average fixation, first fixation, and fixation count in defined areas of interest (AOIs) were measured. Participants focused mostly on robot's body during coffee preparation and human barista's face. Attention stayed on the coffee with human baristas, while robot stimuli drew focus to the robot's hand and kettle. Participants fixated more on the robot itself, potentially due to its novelty in coffee preparation. This study can provide directions for the development of robots, including their appearance, so that they could be accepted familiarly by consumers and introduced seamlessly in the food industries.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] ATTENTION TO PRODUCT IMAGES IN AN ONLINE RETAILING STORE: AN EYE-TRACKING STUDY CONSIDERING CONSUMER GOALS AND TYPE OF PRODUCT
    Chocarro, Raquel
    Cortinas, Monica
    Villanueva, Arantxa
    JOURNAL OF ELECTRONIC COMMERCE RESEARCH, 2022, 23 (04): : 257 - 281
  • [22] Effects of background complexity on consumer visual processing: An eye-tracking study
    Wang, Qiuzhen
    Ma, Da
    Chen, Hanyue
    Ye, Xuhong
    Xu, Qing
    JOURNAL OF BUSINESS RESEARCH, 2020, 111 : 270 - 280
  • [23] Using Eye-Tracking for Visual Attention Feedback
    Toreini, Peyman
    Langner, Moritz
    Maedche, Alexander
    INFORMATION SYSTEMS AND NEUROSCIENCE, 2020, 32 : 261 - 270
  • [24] Does banner advertising still capture attention? An eye-tracking study
    Simonetti, Aline
    Bigne, Enrique
    SPANISH JOURNAL OF MARKETING-ESIC, 2024, 28 (01) : 3 - 20
  • [25] Visual attention to plain and ornamented human bodies: an eye-tracking study
    Wohlrab, Silke
    Fink, Bernhard
    Pyritz, Lennart W.
    Rahlfs, Moritz
    Kappeler, Peter M.
    PERCEPTUAL AND MOTOR SKILLS, 2007, 104 (03) : 1337 - 1349
  • [26] Attentional biases in dysphoria: An eye-tracking study of the allocation and disengagement of attention
    Sears, Christopher R.
    Thomas, Charmaine L.
    LeHuquet, Jessica M.
    Johnson, Jeremy C. S.
    COGNITION & EMOTION, 2010, 24 (08) : 1349 - 1368
  • [27] Gender Modulates Visual Attention to Emotional Faces: An Eye-Tracking Study
    Zhang, Ludan
    Wang, Junling
    Xue, Huiqin
    Liu, Shuang
    Ming, Dong
    12TH ASIAN-PACIFIC CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING, VOL 1, APCMBE 2023, 2024, 103 : 281 - 288
  • [28] Increased attention to snake images in cynomolgus monkeys: an eye-tracking study
    Bo Zhang
    Zhi-Gang Zhou
    Yin Zhou
    Yong-Chang Chen
    Zoological Research, 2020, 41 (01) : 32 - 38
  • [29] Exploring the 'mood congruency' hypothesis of attention allocation - An eye-tracking study
    Hertz-Palmor, Nimrod
    Yosef, Yam
    Hallel, Hadar
    Bernat, Inbar
    Lazarov, Amit
    JOURNAL OF AFFECTIVE DISORDERS, 2024, 347 : 619 - 629
  • [30] Attention to online channels across the path to purchase: An eye-tracking study
    Cortinas, Monica
    Cabeza, Rafael
    Chocarro, Raquel
    Villanueva, Arantxa
    ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2019, 36