Mohammed Qasim Latifi, Dylan Poulus, Michaella Richards, Yang Yap, Vasileios Stavropoulos
{"title":"通过用户头像纽带预测蛋白酶效应：利用机器学习的纵向研究","authors":"Mohammed Qasim Latifi, Dylan Poulus, Michaella Richards, Yang Yap, Vasileios Stavropoulos","doi":"10.1080/0144929x.2024.2363974","DOIUrl":null,"url":null,"abstract":"The impact of an avatar on real-world behaviors of users is known as the Proteus Effect. Different user avatar bond (UAB) aspects, including identifying, immersing, and compensating via the avatar,...","PeriodicalId":55392,"journal":{"name":"Behaviour & Information Technology","volume":"41 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting proteus effect via the user avatar bond: a longitudinal study using machine learning\",\"authors\":\"Mohammed Qasim Latifi, Dylan Poulus, Michaella Richards, Yang Yap, Vasileios Stavropoulos\",\"doi\":\"10.1080/0144929x.2024.2363974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The impact of an avatar on real-world behaviors of users is known as the Proteus Effect. Different user avatar bond (UAB) aspects, including identifying, immersing, and compensating via the avatar,...\",\"PeriodicalId\":55392,\"journal\":{\"name\":\"Behaviour & Information Technology\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behaviour & Information Technology\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/0144929x.2024.2363974\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behaviour & Information Technology","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/0144929x.2024.2363974","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
Predicting proteus effect via the user avatar bond: a longitudinal study using machine learning
The impact of an avatar on real-world behaviors of users is known as the Proteus Effect. Different user avatar bond (UAB) aspects, including identifying, immersing, and compensating via the avatar,...
期刊介绍：
Behaviour & Information Technology (BIT) puts people before technology. As such it deviates from other related journals. It is the primary scientific venue for peer-reviewed publications on human-centred IT.
BIT reports original research studies, practical case studies, and thoughtful articles on:
• usability and user experience (UX)
• human computer interaction (HCI)
• human-centred and user-centred design
• the social, business and human aspects of the digital world.
The Journal attracts authors and readers from a variety of disciplines (e.g., usability, user experience, psychology, ergonomics, computer science, and sociology), originating from both academics and industry.
All papers are subject to initial appraisal by the Editor, and, if found suitable for further consideration, will undertake rigorous double blind peer review by independent, anonymous expert referees.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
