|
[ 1 ] Ronchi A M.
eCulture：Cultural Content inthe Digital Age[M]. Berlin: Springer
BerlinHeidelberg，2009：33–70.
[ 2 ] 孔高敏. 我国基层公共数字文化服务新媒体联动机制研究[J]. 图书馆，2024（7）：47–55.
[ 3 ]
Sweller J，van Merrienboer J J G，Paas F G W C.Cognitive
Architecture and Instructional Design[J].Educational Psychology Review，1998，10（3）：251–296.
[ 4 ]
Mayer R E. Multimedia learning[M]. Amsterdam:Elsevier，2002：85–139.
[ 5 ] 袁曦临. 网络数字阅读行为对阅读脑的改造及其对认知的影响[J]. 图书馆杂志，2016，35（4）：18–26.
[ 6 ] He Y，Guo Z，Wang X，et al. Effects of
audiovisualinteractions on working memory task performance—interference or
facilitation[J]. Brain Sciences，2022，12（7）：886.
[ 7 ] Ren Y，Zhou Z，Bi J，et al. Effect of
attentionalload on audio-visual integration：an ERP study[C]//Proceedings
of the 2020 IEEE InternationalConference on Mechatronics and Automation（ICMA）.Beijing，China. IEEE，2020：1443–1448.
[ 8 ] 王玉琴，王咸伟. 媒体组合与学习步调对多媒体学习影响的眼动实验研究[J]. 电化教育研究，2007（11）：61–66.
[ 9 ] 龚少英，段婷，王福兴，等. 装饰图片影响多媒体学习的眼动研究[J]. 心理发展与教育，2014，30（4）：403–410.
[10] 王玉鑫，谢和平，王福兴，等. 多媒体学习的图文整合：空间邻近效应的元分析[J]. 心理发展与教育，2016，32（5）：565–578.
[11] Kosch
T，Schmidt A，Thanheiser S，et al.One does not
Simply RSVP：Mental Workloadto Select Speed Reading Parameters usingElectroencephalography[C]//Proceedings
ofthe 2020 CHI Conference on Human Factors inComputing Systems. Honolulu，HI，USA. ACM，2020：1–13.
[12] Chen C，Lin Y. Effects of
different text displaytypes on reading comprehension，sustainedattention
and cognitive load in mobile readingcontexts[J]. Interactive Learning
Environments，2016，24（3）：553–571.
[13] 熊俊梅，辛亮，高苗苗，等. 视觉和听觉情绪设计对多媒体学习的影响[J]. 心理科学，2018，41（5）：1124–1129.
[14] 黄先蓉，张窈. 数字阅读研究热点与动向：伦理、行为与应用[J]. 出版科学，2020，28（2）：5–16.
[15] 马捷，张光媛，徐晓晨，等. 数字阅读与纸质阅读理解效果及沉浸体验实验研究——以科普知识为例[J]. 图书情报工作，2018，62（16）：35–46.
[16] Cheng
K. Reading an augmented reality book：An exploration of
learners’ cognitive load，motivation，and attitudes[J].
Australasian Journalof Educational Technology，2017，33（4）：53–69.
[17] Chang C，Warden C A，Liang C，et al. Effects ofdigital
game-based learning on achievement，flowand overall
cognitive load[J]. Australasian Journal ofEducational Technology，2018，34（4）：155–167.
[18]
Hawlitschek A，Joeckel S. Increasing the effectivenessof digital
educational games：The effects of a learninginstruction on students’
learning，motivation andcognitive load[J]. Computers in Human
Behavior，2017，72：79–86.
[19] Huang C
L，Luo Y F，Yang S C，et al. Influenceof
Students’ Learning Style，Sense of Presence，and Cognitive Load
on Learning Outcomes in anImmersive Virtual Reality Learning Environment[J].Journal
of Educational Computing Research，2019，58（3）：596–615.
[20]
Minkley N，Xu K M，Krell M. AnalyzingRelationships Between
Causal and AssessmentFactors of Cognitive Load：Associations
BetweenObjective and Subjective Measures of CognitiveLoad，Stress，Interest，and
Self-Concept[J].Frontiers in Education，2021，6：632907.
[21]
Mutlu-Bayraktar D，Cosgun V，Altan T. Cognitiveload in multimedia
learning environments：Asystematic review[J]. Computers &
Education，2019，141：103618.
[22] Chen F，Zhou J，Wang Y，et al. Theoretical
Aspectsof Multimodal Cognitive Load Measures[M]. Cham：Springer
International Publishing，2016：33–71.
[23] Chen F，Ruiz N，Choi E，et al. Multimodal
behaviorand interaction as indicators of cognitive load[J].ACM Trans. Interact.
Intell. Syst.，2013，2（4）：22.
[24] Vanneste P，Raes A，Morton J，et al. Towardsmeasuring
cognitive load through multimodalphysiological data[J]. Cognition，Technology &Work，2021，23（3）：567–585.
[25] Y L，Y Y，H T，et al. Cognitive
Load Predictionfrom Multimodal Physiological Signals usingMultiview
Learning[J]. IEEE Journal of Biomedicaland Health Informatics，2023：1–11.
[26]
Larmuseau C，Cornelis J，Lancieri L，et al. Multimodal
learning analytics to investigatecognitive load during online problem
solving[J].British Journal of Educational Technology，2020，51（5）：1548–1562.
[27]
Ahmad M I，Robb D A，Keller I，et al. Towards aMultimodal
Measure for Physiological Behavioursto Estimate Cognitive Load[C]//Proceedings
of the2020HCI International Conference. Copenhagen，Denmark. HCII，2020：3–13.
[28] Gjoreski
M，Mahesh B，Koleni T，et al. CognitiveLoad
Monitoring With Wearables—Lessons LearnedFrom a Machine Learning
Challenge[J]. IEEEAccess，2021，9：103325–103336.
[29]
Herbig N，Düwel T，Helali M，et al.
InvestigatingMulti-Modal Measures for Cognitive Load Detectionin
E-Learning[C]//Proceedings of the 28th ACMConference on User Modeling，Adaptation andPersonalization.
Genoa，Italy. ACM，2020：88–97.
[30] Herbig
N，Pal S，Vela M，et al. Multi-modalindicators
for estimating perceived cognitive loadin post-editing of machine
translation[J]. MachineTranslation，2019，33（1）：91–115.
[31]
Giannakos M N，Sharma K，Pappas I O，et al.Multimodal
data as a means to understand thelearning experience[J]. International Journal
ofInformation Management，2019，48：108–119.
[32]
Oschlies-Strobel A，Gruss S，Jerg-Bretzke L，et al. Preliminary
classification of cognitive loadstates in a human machine interaction
scenario[C]//Proceedings of the 2017 International Conference onCompanion
Technology （ICCT）.Ulm，Germany.IEEE，2017：1–5.
[33] Canova G.
Machine Learning and data fusion ofphysiological signals for assessing a
subject’s stresslevel and cognitive load[D]. Turin：Politecnico diTorino，2024.
[34] Hart S G，Staveland L E.
Development of NASATLX（Task Load Index）：Results of
Empiricaland Theoretical Research[M]. Amsterdam：North-Holland，1988：139–183.
[35] Lahat
D，Adali T，Jutten C. Multimodal DataFusion：An Overview of
Methods，Challenges，andProspects[J]. Proceedings of the
IEEE， 2015， 103（9）：1449–1477.
[36]
Miller G A. The magical number seven，plusor minus two：Some limits on our
capacity forprocessing information.[J]. Psychological Review，1956，63（2）：81.
[37] Wang G，Tian L，Liu J，et al. Neural
mechanismsof cognitive load in Multimedia Learning：a Metaanalysisof
EEG frequency Band Modulation[J].Current Psychology，2024，43（37）：29316–29332.
[38]
Zammouri A，Moussa A A，Chevallier S. Useof cognitive load
measurements to design a newarchitecture of intelligent learning systems[J].
ExpertSystems with Applications，2024，237：121253.
[39]
Consalvi L，Ouwehand K，Paas F. Effects ofObserving Urban and
Natural Scenes on WorkingMemory Depletion and Restoration：An EEGStudy[J].
Education Sciences，2024，14（11）：1204.
[40]
Havugimana F，Moinudin K A，Yeasin M. Deeplearning
framework for modeling cognitive loadfrom small and noisy eeg data[J]. IEEE
Transactionson Cognitive and Developmental Systems，2023，16（3）：1006–1015.
[41] Liu
Y，Yu Y，Ye Z，et al. Fusion of
spatial，temporal，and spectral EEG signatures improves
multilevelcognitive load prediction[J]. IEEE Transactions onHuman-Machine
Systems，2023，53（2）：357–366.
[42] Ruo A，Villani V，Sabattini L. Use
of EEG signalsfor mental workload assessment in human-robotcollaboration[C]//Proceedings
of the 2022 Human-Friendly Robotics. Delft，The Netherlands.
Springer，2022：233–247.
[43] Chikhi S，Matton N，Blanchet S. EEG
power spectralmeasures of cognitive workload：A
meta-analysis[J].Psychophysiology，2022，59（6）：e14009.
[44]
Klimesch W. EEG alpha and theta oscillationsreflect cognitive and memory
performance：areview and analysis[J]. Brain Research Reviews，1999，29（2/3）：169–195.
[45] 王国华，田梁浩，聂胜欣，等. 多媒体学习中表征认知负荷的眼动指标研究[J]. 电化教育研究，2023，44（10）：54–62.[46] Zhou Y，Huang S，Xu Z，et al. Cognitive
WorkloadRecognition Using EEG Signals and Machine Learning：A Review[J]. IEEE
Transactions on Cognitive andDevelopmental Systems，2022，14（3）：799–818.[47]
Mutlu-Bayraktar D，Ozel P，Altindis F，et al.Relationship
between objective and subjectivecognitive load measurements in multimedia
learning[J].Interactive Learning Environments，2023，31（3）：1322–1334.
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