Kevin A. Harmon, Hansol Lee, Bahar Javadi Khasraghi, Harshit S. Parmar, Eric A. Walden
{"title":"信息呈现延迟会导致大脑状态切换,从而降低用户性能,而我们对此可能无能为力","authors":"Kevin A. Harmon, Hansol Lee, Bahar Javadi Khasraghi, Harshit S. Parmar, Eric A. Walden","doi":"10.25300/misq/2023/17680","DOIUrl":null,"url":null,"abstract":"<style>#html-body [data-pb-style=HLQIEF7]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>System delays are a major factor that harms user experience. Long delays often result in system abandonment, decreased user performance, and lost revenue for businesses. Although studies have provided important contributions on the consequences of delays, less is known about why system delays harm the user experience. Using fMRI, we examined how long system delays—compared to short delays—can change a user’s brain state. Results showed that brain state switching was more likely during a long delay than during a short delay. Brain state switching was also more likely at the beginning of a task following a long delay than following a short delay. The default-mode network (brain regions associated with inattention) was more active during long delays than when users were engaged in the task. Furthermore, long delays were significantly related to worsened performance as measured in decision time in the task following a delay. This effect was mediated by brain state switching at the beginning of the task after the delay. We also attempted four different system design interventions to overcome this and found partial mitigation, but none eliminated the negative effect of delays.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"15 1","pages":""},"PeriodicalIF":7.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Delays in Information Presentation Lead to Brain State Switching, Which Degrades User Performance, and There May Not Be Much We Can Do about It\",\"authors\":\"Kevin A. Harmon, Hansol Lee, Bahar Javadi Khasraghi, Harshit S. Parmar, Eric A. Walden\",\"doi\":\"10.25300/misq/2023/17680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<style>#html-body [data-pb-style=HLQIEF7]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>System delays are a major factor that harms user experience. Long delays often result in system abandonment, decreased user performance, and lost revenue for businesses. Although studies have provided important contributions on the consequences of delays, less is known about why system delays harm the user experience. Using fMRI, we examined how long system delays—compared to short delays—can change a user’s brain state. Results showed that brain state switching was more likely during a long delay than during a short delay. Brain state switching was also more likely at the beginning of a task following a long delay than following a short delay. The default-mode network (brain regions associated with inattention) was more active during long delays than when users were engaged in the task. Furthermore, long delays were significantly related to worsened performance as measured in decision time in the task following a delay. This effect was mediated by brain state switching at the beginning of the task after the delay. We also attempted four different system design interventions to overcome this and found partial mitigation, but none eliminated the negative effect of delays.\",\"PeriodicalId\":49807,\"journal\":{\"name\":\"Mis Quarterly\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mis Quarterly\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.25300/misq/2023/17680\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mis Quarterly","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.25300/misq/2023/17680","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Delays in Information Presentation Lead to Brain State Switching, Which Degrades User Performance, and There May Not Be Much We Can Do about It
System delays are a major factor that harms user experience. Long delays often result in system abandonment, decreased user performance, and lost revenue for businesses. Although studies have provided important contributions on the consequences of delays, less is known about why system delays harm the user experience. Using fMRI, we examined how long system delays—compared to short delays—can change a user’s brain state. Results showed that brain state switching was more likely during a long delay than during a short delay. Brain state switching was also more likely at the beginning of a task following a long delay than following a short delay. The default-mode network (brain regions associated with inattention) was more active during long delays than when users were engaged in the task. Furthermore, long delays were significantly related to worsened performance as measured in decision time in the task following a delay. This effect was mediated by brain state switching at the beginning of the task after the delay. We also attempted four different system design interventions to overcome this and found partial mitigation, but none eliminated the negative effect of delays.
期刊介绍:
Journal Name: MIS Quarterly
Editorial Objective:
The editorial objective of MIS Quarterly is focused on:
Enhancing and communicating knowledge related to:
Development of IT-based services
Management of IT resources
Use, impact, and economics of IT with managerial, organizational, and societal implications
Addressing professional issues affecting the Information Systems (IS) field as a whole
Key Focus Areas:
Development of IT-based services
Management of IT resources
Use, impact, and economics of IT with managerial, organizational, and societal implications
Professional issues affecting the IS field as a whole