用户名  找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Human-Computer Interaction; Thematic Area, HCI 2 Masaaki Kurosu,Ayako Hashizume Conference proceedings 2023 The Editor(s) (if applicable) a

[复制链接]
楼主: 万灵药
发表于 2025-3-25 05:56:13 | 显示全部楼层
Perception of a Mobile Service Robot’s Proxemic Behavior and Appearance in Virtual Reality paper focuses on a selection of the most relevant robot-related factors: size, speed, and the robot’s edge shape, which were systematically varied in two consecutive experiments. This gives important implications for human-centered robot behavior design, where non-verbal, proxemic behavior plays an
发表于 2025-3-25 08:09:37 | 显示全部楼层
发表于 2025-3-25 11:58:15 | 显示全部楼层
发表于 2025-3-25 19:04:32 | 显示全部楼层
A Longitudinal Experiment about Leadership in a Mixed Human-Robot Team in Comparison to a Human-Onlycrease even further, making research more important. This paper presents results of a first longitudinal experiment about leadership in mixed human-robot teams compared to human-only teams. Specifically, the integration of a social robot in an office team with a human team leader is assessed. Based
发表于 2025-3-25 20:38:22 | 显示全部楼层
发表于 2025-3-26 02:38:11 | 显示全部楼层
The Influence of Context and Task on Human-Robot Interaction an important factor in Human-Robot Interaction, gains more and more strength in the design of social robots that are designed with a certain purpose of empathic interaction, from which one can expect positive or negative emotional effects. A quasi-experimental study formed to explore the influence
发表于 2025-3-26 04:22:00 | 显示全部楼层
发表于 2025-3-26 10:03:49 | 显示全部楼层
发表于 2025-3-26 14:48:48 | 显示全部楼层
Applying the Social Robot Expectation Gap Evaluation Frameworkrobots and what they are actually capable of. Expectations are dynamic and can change over time. We have previously developed a framework for studying these expectations over time in human-robot interaction (HRI). In this work, we applied the social robot expectation gap evaluation framework in an H
发表于 2025-3-26 20:21:30 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-24 09:25
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表