Oleksandr Burov, E. Lavrov, S. Lytvynova, Olha P. Pinchuk, K. Horska, Oleksii M. Tkachenko, N. Kovalenko, Y. Chybiriak
{"title":"On the way to hybrid intelligence: influence of the human-system interaction rate\n on the human cognitive performance","authors":"Oleksandr Burov, E. Lavrov, S. Lytvynova, Olha P. Pinchuk, K. Horska, Oleksii M. Tkachenko, N. Kovalenko, Y. Chybiriak","doi":"10.54941/ahfe1002925","DOIUrl":null,"url":null,"abstract":"IntroductionHybrid job and learning create new opportunities and set new\n requirements to control a human-machine interaction. It is important to keep in mind\n that modern and future participants of these activi-ties can include the artificial\n intellect (AI-actor) as well. One of the critical features of their interaction could be\n the rate of the information exchange, because an AI-actor can accept and produce tasks\n in a quite stable rate, in contrast with a human-actor whose performance quality can\n very in time. As a result, their interaction needs to be adjusted in many cases from\n viewpoint of complexity and rate. It is supposed that the process of the information\n task flow should correspond an individual or moderate rate, in the best case. But\n according to our preliminary data (Burov, 1990, 1996), the moderate rate (even\n individually adapted) of perceptual and cognitive task flow was accompanied by a higher\n physiological strain than slow and fast ones. Because the cognitive component of the\n mental work becomes more and more significant both for a job and for a\n teaching/learning, it is useful for adaptive systems’ design to clarify if the free\n (“auto”) and moderate rates have the same and/or similar influence on a human\n performance quality (reliability and speed) and health consequences. GoalTo carry out\n the comparison analysis of the speed and reliability of cognitive activity by subjects\n performing computer tasks at a free and fixed pace, considering the physiological \"cost\"\n of such activities. Discussion of ResultsThe methodological basis of our research are\n models and methods for assessment a human ability to cognitive work using the computer\n system for psychophysiological research developed by authors. The survey included\n cognitive test task performance, blood pressure and heart rate before and after the test\n performance, as well as electropuncture diagnostics (EPD) after Nakatani (including 3\n stress-points) for each subject. 47 subjects participated in experiments, 4 times per\n month (three times performing tests in the fix pace, one time in the free pace, each\n test session in a week). The duration of each test session was 3 continuous hours.\n Variation of the cognitive test task performance (accuracy and reliability) over the\n research period were studied and compared with changes of psychological and\n physiological indices, namely heart rate, blood pressure, vegetative stress index after\n Bayevsky as well as stress indices after Nakatani. It has been revealed strong increase\n of the stress by physiological and EPD indices and deterioration in activity (task\n performance time, reliability) in test sessions with fixed pace. Individual and\n inter-dividual variations are considered.Significance of the Proposed PresentationThe\n results can be applied to optimize a human and digital system interaction accounting a\n hu-man cognitive and psychophysiological limitations in interaction pace. The\n optimization goal can be to adjust their interaction pace to achieve maximal general\n performance in short- and long-term per-spective.","PeriodicalId":383834,"journal":{"name":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1002925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
IntroductionHybrid job and learning create new opportunities and set new
requirements to control a human-machine interaction. It is important to keep in mind
that modern and future participants of these activi-ties can include the artificial
intellect (AI-actor) as well. One of the critical features of their interaction could be
the rate of the information exchange, because an AI-actor can accept and produce tasks
in a quite stable rate, in contrast with a human-actor whose performance quality can
very in time. As a result, their interaction needs to be adjusted in many cases from
viewpoint of complexity and rate. It is supposed that the process of the information
task flow should correspond an individual or moderate rate, in the best case. But
according to our preliminary data (Burov, 1990, 1996), the moderate rate (even
individually adapted) of perceptual and cognitive task flow was accompanied by a higher
physiological strain than slow and fast ones. Because the cognitive component of the
mental work becomes more and more significant both for a job and for a
teaching/learning, it is useful for adaptive systems’ design to clarify if the free
(“auto”) and moderate rates have the same and/or similar influence on a human
performance quality (reliability and speed) and health consequences. GoalTo carry out
the comparison analysis of the speed and reliability of cognitive activity by subjects
performing computer tasks at a free and fixed pace, considering the physiological "cost"
of such activities. Discussion of ResultsThe methodological basis of our research are
models and methods for assessment a human ability to cognitive work using the computer
system for psychophysiological research developed by authors. The survey included
cognitive test task performance, blood pressure and heart rate before and after the test
performance, as well as electropuncture diagnostics (EPD) after Nakatani (including 3
stress-points) for each subject. 47 subjects participated in experiments, 4 times per
month (three times performing tests in the fix pace, one time in the free pace, each
test session in a week). The duration of each test session was 3 continuous hours.
Variation of the cognitive test task performance (accuracy and reliability) over the
research period were studied and compared with changes of psychological and
physiological indices, namely heart rate, blood pressure, vegetative stress index after
Bayevsky as well as stress indices after Nakatani. It has been revealed strong increase
of the stress by physiological and EPD indices and deterioration in activity (task
performance time, reliability) in test sessions with fixed pace. Individual and
inter-dividual variations are considered.Significance of the Proposed PresentationThe
results can be applied to optimize a human and digital system interaction accounting a
hu-man cognitive and psychophysiological limitations in interaction pace. The
optimization goal can be to adjust their interaction pace to achieve maximal general
performance in short- and long-term per-spective.