To the Editor:Acne vulgaris(AV)is a common skin disease mainly among adolescents with varying incidences around.the world,significantly affecting patients'facial appear:ance,psychology,social activity,and quality ...To the Editor:Acne vulgaris(AV)is a common skin disease mainly among adolescents with varying incidences around.the world,significantly affecting patients'facial appear:ance,psychology,social activity,and quality of life.[1]Many factors including genetic components,environmental elements,hormone levels,treatments,diets,and skin care-behavior are associated with an increased risk of AV.[2] Herein,we investigated AV patients'skin care behavior and cognition to predisposing factors with a designed clectronic questionnaire.展开更多
This paper proposes a methodology for using multi-modal data in gameplay to detect outlier behavior.The proposedmethodology collects,synchronizes,and quantifies time-series data fromwebcams,mouses,and keyboards.Facial...This paper proposes a methodology for using multi-modal data in gameplay to detect outlier behavior.The proposedmethodology collects,synchronizes,and quantifies time-series data fromwebcams,mouses,and keyboards.Facial expressions are varied on a one-dimensional pleasure axis,and changes in expression in the mouth and eye areas are detected separately.Furthermore,the keyboard and mouse input frequencies are tracked to determine the interaction intensity of users.Then,we apply a dynamic time warp algorithm to detect outlier behavior.The detected outlier behavior graph patterns were the play patterns that the game designer did not intend or play patterns that differed greatly from those of other users.These outlier patterns can provide game designers with feedback on the actual play experiences of users of the game.Our results can be applied to the game industry as game user experience analysis,enabling a quantitative evaluation of the excitement of a game.展开更多
基金This work was supported by a grant from the Open Research Funding of Chinese Skin Image Database(No.CSID-ORF-201922).
文摘To the Editor:Acne vulgaris(AV)is a common skin disease mainly among adolescents with varying incidences around.the world,significantly affecting patients'facial appear:ance,psychology,social activity,and quality of life.[1]Many factors including genetic components,environmental elements,hormone levels,treatments,diets,and skin care-behavior are associated with an increased risk of AV.[2] Herein,we investigated AV patients'skin care behavior and cognition to predisposing factors with a designed clectronic questionnaire.
基金This research was supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(2021R1I1A3058103).
文摘This paper proposes a methodology for using multi-modal data in gameplay to detect outlier behavior.The proposedmethodology collects,synchronizes,and quantifies time-series data fromwebcams,mouses,and keyboards.Facial expressions are varied on a one-dimensional pleasure axis,and changes in expression in the mouth and eye areas are detected separately.Furthermore,the keyboard and mouse input frequencies are tracked to determine the interaction intensity of users.Then,we apply a dynamic time warp algorithm to detect outlier behavior.The detected outlier behavior graph patterns were the play patterns that the game designer did not intend or play patterns that differed greatly from those of other users.These outlier patterns can provide game designers with feedback on the actual play experiences of users of the game.Our results can be applied to the game industry as game user experience analysis,enabling a quantitative evaluation of the excitement of a game.
