Kathryn E Muessig, Kelly A Knudtson, Karina Soni, Margo Adams Larsen, David Traum, Willa Dong, Donaldson F Conserve, Anton Leuski, Ron Artstein, Lisa B Hightow-Weidman
{"title":"“我没有早点告诉你,因为我不知道自己该怎么处理。”开发一个虚拟现实程序,以支持艾滋病毒状况披露决策。","authors":"Kathryn E Muessig, Kelly A Knudtson, Karina Soni, Margo Adams Larsen, David Traum, Willa Dong, Donaldson F Conserve, Anton Leuski, Ron Artstein, Lisa B Hightow-Weidman","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>HIV status disclosure is associated with increased sorcial support and protective behaviors against HIV transmission. Yet disclosure poses significant challenges in the face of persistent societal stigma. Few interventions focus on decision-making self-efficacy, and communication skills to support disclosing HIV status to an intimate partner. Virtual reality (VR) and artifcial intelligence (AI) technologies offer poweful tools to address this gap. Informed by Social Cognitive Theory, we created the Tough Talks VR program for HIV-positive young men who have sex with men (YMSM) to practice status disclosure safely and confidentially. Fifty-eight YMSM (ages 18 - 30, 88% HIV-positive) contributed 132 disclosure dialogues to develop the prototype through focus groups, usability testing, and a technical pilot. The prototype includes three disclosure scenarios (neutral, sympathetic, and negative response) and a database of 125 virtual character utterances. Participants select a VR scenario and realistic virtual character with whom to practice. In a pilot test of the fully automated neutral response scenario, the AI system responded appropriately to 71% of participant utterances. Most pilot study participants agreed Tough Talks was easy to use (9/11) and that they would like to use the system frequently (9/11). Tough Talks demonstrates that VR can be used to practice HIV status disclosure and lessons learned from program development offer insights for the use of AI systems for other areas of health and education.</p>","PeriodicalId":90485,"journal":{"name":"Digital culture & education","volume":"10 ","pages":"22-48"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097708/pdf/nihms-981443.pdf","citationCount":"0","resultStr":"{\"title\":\"\\\"I DIDN'T TELL YOU SOONER BECAUSE I DIDN'T KNOW HOW TO HANDLE IT MYSELF.\\\" DEVELOPING A VIRTUAL REALITY PROGRAM TO SUPPORT HIV-STATUS DISCLOSURE DECISIONS.\",\"authors\":\"Kathryn E Muessig, Kelly A Knudtson, Karina Soni, Margo Adams Larsen, David Traum, Willa Dong, Donaldson F Conserve, Anton Leuski, Ron Artstein, Lisa B Hightow-Weidman\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>HIV status disclosure is associated with increased sorcial support and protective behaviors against HIV transmission. Yet disclosure poses significant challenges in the face of persistent societal stigma. Few interventions focus on decision-making self-efficacy, and communication skills to support disclosing HIV status to an intimate partner. Virtual reality (VR) and artifcial intelligence (AI) technologies offer poweful tools to address this gap. Informed by Social Cognitive Theory, we created the Tough Talks VR program for HIV-positive young men who have sex with men (YMSM) to practice status disclosure safely and confidentially. Fifty-eight YMSM (ages 18 - 30, 88% HIV-positive) contributed 132 disclosure dialogues to develop the prototype through focus groups, usability testing, and a technical pilot. The prototype includes three disclosure scenarios (neutral, sympathetic, and negative response) and a database of 125 virtual character utterances. Participants select a VR scenario and realistic virtual character with whom to practice. In a pilot test of the fully automated neutral response scenario, the AI system responded appropriately to 71% of participant utterances. Most pilot study participants agreed Tough Talks was easy to use (9/11) and that they would like to use the system frequently (9/11). Tough Talks demonstrates that VR can be used to practice HIV status disclosure and lessons learned from program development offer insights for the use of AI systems for other areas of health and education.</p>\",\"PeriodicalId\":90485,\"journal\":{\"name\":\"Digital culture & education\",\"volume\":\"10 \",\"pages\":\"22-48\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097708/pdf/nihms-981443.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital culture & education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2018/7/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital culture & education","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/7/13 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
"I DIDN'T TELL YOU SOONER BECAUSE I DIDN'T KNOW HOW TO HANDLE IT MYSELF." DEVELOPING A VIRTUAL REALITY PROGRAM TO SUPPORT HIV-STATUS DISCLOSURE DECISIONS.
HIV status disclosure is associated with increased sorcial support and protective behaviors against HIV transmission. Yet disclosure poses significant challenges in the face of persistent societal stigma. Few interventions focus on decision-making self-efficacy, and communication skills to support disclosing HIV status to an intimate partner. Virtual reality (VR) and artifcial intelligence (AI) technologies offer poweful tools to address this gap. Informed by Social Cognitive Theory, we created the Tough Talks VR program for HIV-positive young men who have sex with men (YMSM) to practice status disclosure safely and confidentially. Fifty-eight YMSM (ages 18 - 30, 88% HIV-positive) contributed 132 disclosure dialogues to develop the prototype through focus groups, usability testing, and a technical pilot. The prototype includes three disclosure scenarios (neutral, sympathetic, and negative response) and a database of 125 virtual character utterances. Participants select a VR scenario and realistic virtual character with whom to practice. In a pilot test of the fully automated neutral response scenario, the AI system responded appropriately to 71% of participant utterances. Most pilot study participants agreed Tough Talks was easy to use (9/11) and that they would like to use the system frequently (9/11). Tough Talks demonstrates that VR can be used to practice HIV status disclosure and lessons learned from program development offer insights for the use of AI systems for other areas of health and education.