Article
Computer Science, Cybernetics
Xing Pan, Liuwang Sun, Song Ding, Dujun Zuo
Summary: This paper proposes an approach to quantify task difficulty in multitasking and analyzes the effect of task difficulty on different levels of situation awareness (SA) through experiments. The results show a strong negative correlation between SA and task difficulty, particularly at the perceptual level. This study can provide reference for quantifying task difficulty in human factors experiments, optimizing tasks in human-machine interaction (HMI), and selecting operator attention allocation strategies.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Cybernetics
Elisabeth J. D. Slifkin, Mark B. Neider
Summary: Email is a widely used form of communication, but people often fall victim to phishing attacks. Interruptions have been shown to negatively impact performance on tasks, and this study aimed to explore the effect of interruptions on phishing email classification. Participants who were occasionally interrupted had higher accuracy in classifying phishing emails and had longer response times. The type of interruption did not affect the results. These findings suggest that interruptions during the phishing classification task may improve performance.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2023)
Article
Psychology, Multidisciplinary
Agnieszka Poplawska, Ewa Szumowska, Jakub Kus
Summary: In the digital age, media multitasking has become inevitable, yet there is still no consensus on its effectiveness. Research should consider the relationship between goal selection, individual intentions and objective performance, as well as the short-term and long-term consequences.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Hyungseok Oh, Yongdeok Yun, Rohae Myung
Summary: Discretionary multitasking and ACT-R modeling are crucial in research on multitasking, with the results showing that the ACT-R model has good predictive ability for task switching in discretionary multitasking and high accuracy in predicting human behavior.
APPLIED SCIENCES-BASEL
(2021)
Article
Psychology, Experimental
Laura Broeker, Harald Ewolds, Rita F. de Oliveira, Stefan Kuenzell, Markus Raab
Summary: This study aimed to investigate the impact of predictability on dual-task performance by manipulating predictability in different tasks. Results suggest that performance improved in the predictable task, indicating that resources were not allocated to the unpredictable task.
COGNITIVE RESEARCH-PRINCIPLES AND IMPLICATIONS
(2021)
Article
Computer Science, Information Systems
Junjie Wang, Ping Yang, Ruyi Gan, Yuxiang Zhang, Jiaxing Zhang, Tetsuya Sakai
Summary: This paper introduces the Unified Multiple-Choice (UniMC) framework for zero-shot learning, which achieves outstanding performance on tasks like text classification and sentiment analysis. The two-stage tuning method enables direct predictions on unseen tasks and reduces parameters, avoiding issues in large-scale models. Experimental results demonstrate the State-of-the-Art (SOTA) performance of UniMC and its strong generalization capacity across languages.
Article
Psychology, Mathematical
Mahiko Konishi, Bruno Berberian, Vincent de Gardelle, Jerome Sackur
Summary: The study found that multitasking decreased participants' awareness of their performance, independent of the multitasking cost on task performance. This has important implications for both metacognition and multitasking research.
PSYCHONOMIC BULLETIN & REVIEW
(2021)
Article
Psychology, Experimental
Harald Ewolds, Laura Broeker, Rita F. de Oliveira, Markus Raab, Stefan Kunzell
Summary: The study found that instructions, feedback, or participants' conceptualization did not significantly affect task integration, but the covariation manipulation improved performance in both the tracking and the go/no-go tasks, indicating that task integration between covarying motor tasks is a robust phenomenon unaffected by instructions or feedback.
MEMORY & COGNITION
(2021)
Review
Computer Science, Artificial Intelligence
Tingyang Wei, Shibin Wang, Jinghui Zhong, Dong Liu, Jun Zhang
Summary: This paper presents a detailed exposition on the research in the field of evolutionary multitask optimization (EMTO), revealing the core components of EMTO algorithms and the fusion between EMTO and traditional evolutionary algorithms. By analyzing the associations of different strategies in various branches of EMTO, this review uncovers research trends and potentially important directions, as well as mentions interesting real-world applications.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2022)
Article
Multidisciplinary Sciences
Joshua D. Upshaw, Carl E. Stevens, Giorgio Ganis, Darya L. Zabelina
Summary: The study found that smartphone notifications have an impact on cognitive control and attention. Participants responded slower on trials paired with smartphone notification sounds, indicating higher levels of cognitive control. Additionally, individuals with higher smartphone addiction tendencies showed lower attentional engagement on trials with smartphone notification sounds.
Article
Psychology, Mathematical
Darryl W. Schneider, Haerim Chun
Summary: The study found no evidence of a relationship between media multitasking scores and task-switching effects, which may be due to small sample sizes and confounding factors in previous research.
PSYCHONOMIC BULLETIN & REVIEW
(2021)
Article
Communication
Prabu David, Ying-Chia Hsu, Chen-Chao Tao
Summary: The preponderance of evidence suggests that intermittent tasks reduce productivity and quality of work. A task switching study found that switching between tasks may have a quickening effect on work under specific conditions.
INFORMATION SOCIETY
(2022)
Article
Computer Science, Theory & Methods
Chen Zhao, Wu Gao, Feiping Nie, Huiyang Zhou
Summary: This article covers the classification and methods of GPU multitasking, and reviews hardware GPU multitasking methods. The article highlights the issues to be addressed for each method and compares the characteristics of methods within the same category. Additionally, it provides suggestions for future research, including the development of an enhanced GPU simulator and exploring new technologies to expand the research field.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2022)
Article
Endocrinology & Metabolism
Linda Becker, Helena C. Kaltenegger, Dennis Nowak, Matthias Weigl, Nicolas Rohleder
Summary: In the process of digitalization, new stressors such as multitasking demands and work interruptions are emerging. However, the biological stress response patterns to these stressors have been minimally studied. This study aims to comprehensively assess the biological stress response patterns to multitasking and work interruptions, and explore whether there are differences between digital and partially non-digital settings.
PSYCHONEUROENDOCRINOLOGY
(2023)
Article
Psychology, Experimental
Jonas Ludwig, David Dignath, Sarah Lukas
Summary: Anticipation of one's own actions' effects drives goal-directed behavior, with positive and negative emotions having distinct roles in regulating task-switching performance, contributing to improved multitasking efficiency.