The role of cognitive load in modulating social looking: a mobile eye tracking study

被引:5
|
作者
Bianchi, Laura J. [1 ]
Kingstone, Alan [2 ]
Risko, Evan F. [1 ]
机构
[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada
[2] Univ British Columbia, Vancouver, BC V6T 1Z4, Canada
关键词
Social attention; Cognitive load; Eye-tracking; Gaze; Pedestrian passing; GAZE AVERSION; DUAL FUNCTION; ATTENTION; DISENGAGEMENT; RECOGNITION; AVOIDANCE; CONTACT; VISION; OVERT; FACE;
D O I
10.1186/s41235-020-00242-5
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The effect of cognitive load on social attention was examined across three experiments in a live pedestrian passing scenario (Experiments 1 and 2) and with the same scenario presented as a video (Experiment 3). In all three experiments, the load was manipulated using an auditory 2-back task. While the participant was wearing a mobile eye-tracker, the participant's fixation behavior toward a confederate was recorded and analyzed based on temporal proximity from the confederate (near or far) and the specific regions of the confederate being observed (i.e., head or body). In Experiment 1 we demonstrated an effect of cognitive load such that there was a lower proportion of fixations and time spent fixating toward the confederate in the load condition. A similar pattern of results was found in Experiment 2 when a within-subject design was used. In Experiment 3, which employed a less authentic social situation (i.e., video), a similar effect of cognitive load was observed. Collectively, these results suggest attentional resources play a central role in social attentional behaviors in both authentic (real-world) and less authentic (video recorded) situations.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] Using mobile eye tracking to measure cognitive load through gaze behavior during walking in lower limb prosthesis users: A preliminary assessment
    Manz, Sabina
    Schmalz, Thomas
    Ernst, Michael
    Koehler, Thomas Maximilian
    Gonzalez-Vargas, Jose
    Dosen, Strahinja
    CLINICAL BIOMECHANICS, 2024, 115
  • [22] An eye-tracking study on the effect of infographic structures on viewer's comprehension and cognitive load
    Majooni, Azam
    Masood, Mona
    Akhavan, Amir
    INFORMATION VISUALIZATION, 2018, 17 (03) : 257 - 266
  • [23] The role of eye fixation in memory enhancement under stress - An eye tracking study
    Herten, Nadja
    Otto, Tobias
    Wolf, Oliver T.
    NEUROBIOLOGY OF LEARNING AND MEMORY, 2017, 140 : 134 - 144
  • [24] Gaze in a real-world social interaction: A dual eye-tracking study
    Macdonald, Ross G.
    Tatler, Benjamin W.
    QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 2018, 71 (10) : 2162 - 2173
  • [25] Study of the User's Eye Tracking to Analyze the Blinking Behavior While Playing a Video Game to Identify Cognitive Load Levels
    Derick, Lagunes-Ramirez
    Gabriel, Gonzalez-Serna
    Maximo, Lopez-Sanchez
    Olivia, Fragoso-Diaz
    Noe, Castro-Sanchez
    Juan, Olivares-Rojas
    PROCEEDINGS OF THE XXII 2020 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC 2020), VOL 4, 2020,
  • [26] Optimizing Scatterplot-Matrices for Decision-Support: An Experimental Eye-Tracking Study Assessing Situational Cognitive Load
    Perkhofer, Lisa
    Hofer, Peter
    INFORMATION SYSTEMS AND NEUROSCIENCE (NEUROIS RETREAT 2021), 2021, 52 : 63 - 76
  • [27] Combining fMRI and Eye-tracking for the Study of Social Cognition
    Rusch, Kristin Marie
    NEUROSCIENCE INSIGHTS, 2021, 16
  • [28] VIRTUAL REALITY SPATIAL TASK PERFORMANCE ESTIMATION THROUGH COGNITIVE LOAD: EEG AND EYE TRACKING STUDY
    Ledneva, Tatiana
    Kovalev, Artem
    PSYCHOPHYSIOLOGY, 2020, 57 : S69 - S69
  • [29] (Dis)liked by peers. An eye tracking study on the role of attention to social information in adolescents' processing of social network advertising
    Holvoet, Sanne
    Hudders, Liselot
    Herrewijn, Laura
    TIJDSCHRIFT VOOR COMMUNICATIEWETENSCHAP, 2021, 49 (03): : 259 - 286
  • [30] Orchestration Load Indicators and Patterns: n-the-Wild Studies Using Mobile Eye-Tracking
    Prieto, Luis P.
    Sharma, Kshitij
    Kidzinski, Lukasz
    Dillenbourg, Pierre
    IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2018, 11 (02): : 216 - 229