What you see is what you get? - Relating eye-tracking metrics to students' attention to game elements

被引:2
|
作者
Shojaee, Amirbahador [1 ]
Kim, Hyeon Woo [2 ]
Cook-Chennault, Kimberly [2 ]
Alarcon, Idalis Villanueva [1 ]
机构
[1] Univ Florida, Dept Engn Educ, Gainesville, FL 32610 USA
[2] Rutgers State Univ, Mech & Aerosp Engn Dept, Piscataway, NJ USA
来源
2021 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE 2021) | 2021年
基金
美国国家科学基金会;
关键词
engineering education game; undergraduate; digital game; eye tracking; mixed methods analysis; TECHNOLOGY;
D O I
10.1109/FIE49875.2021.9637372
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Though engineering digital game inclusion in undergraduate classrooms has steadily increased over the last two decades for in-person courses, their use has exponentially increased in remote and contactless higher education learning environments. Studies exploring student technological acceptance of and content mastery from the use of engineering digital games have provided mixed results in terms of student enjoyment, engagement, and game effectiveness. The majority of these studies have relied on pre- and post-questionnaires to assess differences in students' gaming experiences and performance in the game and learning environment. However, quantitative methods such as the measurement of physiological responses during gameplay have been less explored for the exploration of student engagement and education. The goal of this work is to explore how a set of eye tracking metrics can be related to gamer attention to in-game stimuli and game interface areas of interest.
引用
收藏
页数:6
相关论文
共 28 条
  • [1] It's Not What You See but How You See It: Using Eye-Tracking to Study the Risky Decision-Making Process
    Aimone, Jason A.
    Ball, Sheryl
    King-Casas, Brooks
    JOURNAL OF NEUROSCIENCE PSYCHOLOGY AND ECONOMICS, 2016, 9 (3-4) : 137 - 144
  • [2] What do you see and what do you recall?: Using eye tracking to understand product placement
    Kongmanon, Jittima
    Petison, Phallapa
    COGENT BUSINESS & MANAGEMENT, 2022, 9 (01):
  • [3] What Are You Gazing At? An Approach to Use Eye-Tracking for Robotic Process Automation
    Martinez-Rojas, A.
    Reijers, H. A.
    Jimenez-Ramirez, A.
    Enriquez, J. G.
    BUSINESS PROCESS MANAGEMENT: BLOCKCHAIN, ROBOTIC PROCESS AUTOMATION AND EDUCATORS FORUM, BPM 2023 BLOCKCHAIN, RPA AND EDUCATORS FORUM, 2023, 491 : 120 - 134
  • [4] What Are You Looking For? An Eye-tracking Study of Information Usage in Web Search
    Cutrell, Edward
    Guan, Zhiwei
    CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1 AND 2, 2007, : 407 - 416
  • [5] What you see is what you trace: a two-stage interview study on traceability practices and eye tracking potential
    Ahrens, Maike
    Nagel, Lukas
    Schneider, Kurt
    REQUIREMENTS ENGINEERING, 2024, 29 (03) : 329 - 355
  • [6] What you see is what you get: contextual modulation of face scanning in typical and atypical development
    Elsabbagh, Mayada
    Bedford, Rachael
    Senju, Atsushi
    Charman, Tony
    Pickles, Andrew
    Johnson, Mark H.
    SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 2014, 9 (04) : 538 - 543
  • [7] What you see is what you get, and what you don't goes unsold: Choice overload and purchasing heuristics in a horticulture lab experiment
    Staples, Aaron
    Behe, Bridget K.
    Huddleston, Patricia
    Malone, Trey
    AGRIBUSINESS, 2022, 38 (03) : 620 - 635
  • [8] Are you seeing what I'm seeing? An eye-tracking evaluation of dynamic scenes
    Marchant, Paul
    Raybould, David
    Renshaw, Tony
    Stevens, Richard
    DIGITAL CREATIVITY, 2009, 20 (03) : 153 - 163
  • [9] What You See Is What You Know: The Influence of Involvement and Eye Movement on Online Users' Knowledge Acquisition
    Hassler, Joerg
    Maurer, Marcus
    Oschatz, Corinna
    INTERNATIONAL JOURNAL OF COMMUNICATION, 2019, 13 : 3739 - 3763
  • [10] You read best what you read most: An eye tracking study
    Nedeljkovic, Uros
    Jovancic, Kata
    Pusnik, Nace
    JOURNAL OF EYE MOVEMENT RESEARCH, 2020, 13 (02):