摘要
[目的/意义]在社交机器人应用范围不断拓宽的背景下,系统性地综述社交机器人及其信息行为研究有助于洞察该领域的发展趋势,为未来深入探索提供研究借鉴。[方法/过程]详细梳理了社交机器人在信息行为研究中的国内外研究。首先,提炼社交机器人的理论基础和研究热点;其次,从数据资源建设角度和语言理解、情感计算、信息检索、智能对话任务角度归纳社交机器人的基础任务;再次,对社交机器人在具体应用场景中的信息行为研究进行总结和讨论;最后,深入讨论该领域的未来发展趋势。[结果/结论]社交机器人在信息行为研究领域的未来发展具有巨大的潜力和挑战,如交互质量评估、社会认知增强、用户信息披露、情感理解能力等方面,并积极探索解决方案。
[Purpose/Significance]The advent and emergence of social robots represent a closer development trend in human-computer interaction.However,the study of the information behavior of social robots faces many challenges that arise from the need to simulate human social behavior.This challenge includes technical hurdles such as a multi-level understanding of human emotions,extraction of multi-modal information features,situational awareness,as well as the establishment of long-term user profiling,data privacy,and ethical considerations in personalized interaction.However,existing research tends to focus narrowly on specific applications and lacks a holistic review.This paper attempts to provide a thorough review of both domestic and international studies of social robots in the area of information behavior.It aims to elucidate the theoretical evolution and technological foundations of social robots,thereby enriching our understanding of their role in the landscape of information behavior research.[Method/Process]Using a rigorous literature review methodology,we meticulously analyze the current state and prospective trajectory of research on the information behavior of social robots.First,we extract and scrutinize the theoretical foundations and salient research topics within the field.We then delineate the core tasks of social robots,which include data acquisition,language processing,emotion analysis,information retrieval,and intelligent communication.Furthermore,we synthesize research on the information behavior of social robots in various application domains such as education,healthcare,and service sectors.We delve into the intricacies of human-computer interaction in these contexts and provide comprehensive insights.Finally,we explore future directions in the field.[Results/Conclusions]Our examination of the information behavior of social robots reveals both promising potential and notable challenges.This paper provides a fundamental elucidation of the social robot concept,identifies current research foci,and addresses prevailing challenges.Regarding the construction of data resource and related technologies,we systematically delineate the task architecture of social robots,and highlight their wide-ranging applications in various domains.Furthermore,we provide an in-depth examination of human-computer interaction scenarios in critical domains such as education,healthcare,and service delivery,offering prescient guidance for future research efforts in social robotics.Nonetheless,our findings underscore the nascent stage of development of social robotics,which requires a concerted focus on advancing interaction quality assessment,enhancing social cognitive capabilities,managing user information disclosure,and refining emotional intelligence.By prioritizing these avenues,we aim to improve the quality of human-robot interaction and provide users with enriched and personalized service experiences,thereby catalyzing the continued evolution and broader integration of social robotics technology.
作者
刘洋
吕树月
黎若珺
LIU Yang;LYU Shuyue;LI Ruojun(School of Information Management,Wuhan University,Wuhan 430072;Wuhan University Shenzhen Research Institute,Shenzhen 519057;Guilin University of Electronic Science and Technology,Business School,Guilin 541004;School of Mathematics and Statistics,Wuhan University,Wuhan 430072)
出处
《农业图书情报学报》
2024年第3期4-20,共17页
Journal of Library and Information Science in Agriculture
基金
教育部人文社科基金青年项目“基于社交机器人的突发公共卫生事件公众心理应激干预研究”(22YJCZH114)
中国博士后基金面上项目“突发公共卫生事件公众心理应激信息表征及干预机制研究”(2022M722476)
广东省基础与应用基础研究基金“面向突发公共卫生事件公众心理应激信息表征及干预机制研究”(2023A1515110058)。
关键词
社交机器人
信息行为
人机交互
发展脉络
系统性综述
social robot
information behavior
human-computer interaction
development context
systematic review
