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学者姓名:黄晗静
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发展智慧养老是应对人口快速老龄化挑战的重要举措,既能缓解社会养老压力,又能满足老年人日益多样化的需求.然而,当前智慧养老系统的应用仍面临老年人接受度较低、交互效能较低、信任度较低、责任分配不明晰等一系列问题.因此,本研究旨在从用户需求、交互行为、人机信任、人机责任多层次构建老年用户与智能系统人机共融的理论框架,深入探究用户特征、系统属性、情境因素对人机共融的影响机理.本研究在用户需求、交互行为层次,构建用户画像、需求模型与交互行为模型,优化智能系统属性,提升老年用户的接受度、交互效能;在人机信任层次,探究老年用户与智能系统的人机动态信任发展规律,剖析各类因素对动态信任的综合影响机理,提升老年用户使用行为的持续性和人机关系的稳定性;在人机责任层次,面对智能系统应用可能带来的正面、负面结果,剖析各类因素对人机责任归因的影响机制,促进更好的人机协同.开展本研究可促进人机共融理论的发展,为智能系统的适老化设计与升级提供理论支撑与实践参考.
Keyword :
交互行为 交互行为 人机信任 人机信任 人机共融 人机共融 人机责任 人机责任 用户需求 用户需求
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GB/T 7714 | 黄晗静 , 饶培伦 . 老年用户与智能系统的多层次人机共融理论探索 [J]. | 心理科学进展 , 2025 , 33 (2) : 223-235 . |
MLA | 黄晗静 等. "老年用户与智能系统的多层次人机共融理论探索" . | 心理科学进展 33 . 2 (2025) : 223-235 . |
APA | 黄晗静 , 饶培伦 . 老年用户与智能系统的多层次人机共融理论探索 . | 心理科学进展 , 2025 , 33 (2) , 223-235 . |
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Robots are increasingly being employed in educational environments to enhance learning experiences. Adolescents may interact with robots differently from younger children due to cognitive and perceptual maturation. This study examines the influence of robot ability, task complexity, risk, and self-construal on adolescents’ confidence and trust in robots, and decision-making. Six participants (aged 14–16) collaborated with the NAO robot in a length judgment task. Results showed that high-ability robots elicited more trust, confidence, and decision change. In complex tasks, trust was highest with low-ability robots, while trust was lowest in simple tasks. Participants were less inclined to share benefits but expect robots to bear losses. Interdependent individuals showed more decision changes. These findings increase the understanding of the way that adolescents collaborate with robots, especially in decision-making processes. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keyword :
Decision making Decision making Educational robots Educational robots Human robot interaction Human robot interaction
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GB/T 7714 | Rau, Mu-Shan , Huang, Qiyun , Chen, Pin-Hsuan et al. Exploring How Adolescents Collaborate with Robots [C] . 2024 : 173-180 . |
MLA | Rau, Mu-Shan et al. "Exploring How Adolescents Collaborate with Robots" . (2024) : 173-180 . |
APA | Rau, Mu-Shan , Huang, Qiyun , Chen, Pin-Hsuan , Huang, Hanjing . Exploring How Adolescents Collaborate with Robots . (2024) : 173-180 . |
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Approximately half of the world’s population are bilingual or multilingual. The foreign language effect has been a part of the academic study of people’s decision-making. The Computers are Social Actors (CASA) paradigm posited that people will respond differently when the robot used different social cues. The robot’s language might be an important social cue that makes people have different behavior and experience in the interaction. A limited amount of work has examined the effect of the robot’s language. Thus, this study investigated the effects of the robot’s language (native, foreign) and feedback framework (positive, neutral, negative) on users’ interaction with robots in cognitive tasks. This study further used fNIRS to investigate the effects of these factors on users’ brain activations. The results indicated that: (i) participants had marginally significantly higher performance, and felt significantly higher social presence when the robot used a foreign language; (ii) participants had significantly lower performance when the robot used a neutral feedback framework; (iii) participants had worse experience when the robot used a negative feedback framework; (iv) the use of a foreign language could reduce the effects of the robot’s feedback framework on participants’ performance and brain activations. These findings enrich the research on the foreign language effect, CASA paradigm and the feedback intervention. The findings also have implications for the design and development of robots and conversational agents.
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GB/T 7714 | Hanjing Huang , Pei-Luen Patrick Rau . How to Provide Feedback? The Role of Robot’s Language and Feedback Framework [J]. | International Journal of Human—Computer Interaction , 2024 , 40 (8) : 1856-1872 . |
MLA | Hanjing Huang et al. "How to Provide Feedback? The Role of Robot’s Language and Feedback Framework" . | International Journal of Human—Computer Interaction 40 . 8 (2024) : 1856-1872 . |
APA | Hanjing Huang , Pei-Luen Patrick Rau . How to Provide Feedback? The Role of Robot’s Language and Feedback Framework . | International Journal of Human—Computer Interaction , 2024 , 40 (8) , 1856-1872 . |
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Robotic devices are being introduced to support active aging and enhance the lives of older adults at home. To effectively design and implement such devices, it is crucial to investigate the user needs of both older adults and their family members. This study aimed to investigate middle-aged adults and older adults' needs for home robotic devices. A total of 46 participants took part in interviews focusing on the appearance, social characteristics, functional requirements, and acceptance of home robotic devices. The results revealed that, in terms of appearance, middle-aged adults showed a preference for mechanical robots, whereas older adults favored humanoid robots. Both middle-aged and older adults liked female robots in terms of social characteristics. In terms of functional needs, both middle-aged and older adults considered life management functions as the most important. However, older adults placed less importance on entertainment functions, while middle-aged adults perceived emotional communication as less essential. In terms of the factors influencing acceptance, the critical factors that influence older adults' acceptance were economic factors and psychological factors. The critical factors influencing middle-aged adults' acceptance were economic factors, technological maturity, functional perfection, and other technical characteristics. These findings have implications for the design and implementation of home robotic devices.
Keyword :
Aging Aging Home Robotic Devices Home Robotic Devices Human-Robot Interaction Human-Robot Interaction Older Adults Older Adults User Needs User Needs
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GB/T 7714 | Huang, Hanjing , Fu, Wenwen , Chen, Rong . User Needs for Home Robotic Devices: A Comparison Between Middle-Aged and Older Adults [J]. | CROSS-CULTURAL DESIGN, PT IV, CCD 2024 , 2024 , 14702 : 226-244 . |
MLA | Huang, Hanjing et al. "User Needs for Home Robotic Devices: A Comparison Between Middle-Aged and Older Adults" . | CROSS-CULTURAL DESIGN, PT IV, CCD 2024 14702 (2024) : 226-244 . |
APA | Huang, Hanjing , Fu, Wenwen , Chen, Rong . User Needs for Home Robotic Devices: A Comparison Between Middle-Aged and Older Adults . | CROSS-CULTURAL DESIGN, PT IV, CCD 2024 , 2024 , 14702 , 226-244 . |
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With the globalization, it is essential to investigate the robot’s language on human-robot interaction. The robot’s information framing may also affect people’s behavior. This study investigated the effects of the robot’s language (native vs. foreign) and information frame (positive vs. negative) on people’s risky behavior in Balloon Analog Risk Task. The results indicated that participants’ behavior was less risky when the robot used the negative frame to represent the information. Furthermore, the effect of the robot’s information frame on participants’ risky behavior was less obvious when the robot used a foreign language. The use of a foreign language would reduce the framing effects in human-robot interaction. The effects of the robot’s language and information frame should not be neglected. The obtained findings can serve as a basis for the design of robots’ language and information presentation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keyword :
Foreign language Foreign language Framing effect Framing effect Human-robot interaction Human-robot interaction Risky behavior Risky behavior
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GB/T 7714 | Huang, H. , Rau, P.-L.P. . Effects of Robot’s Language and Attribute Framing on People’s Risky Behavior [未知]. |
MLA | Huang, H. et al. "Effects of Robot’s Language and Attribute Framing on People’s Risky Behavior" [未知]. |
APA | Huang, H. , Rau, P.-L.P. . Effects of Robot’s Language and Attribute Framing on People’s Risky Behavior [未知]. |
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Abstract :
Approximately half of the world's population are bilingual or multilingual. The foreign language effect has been a part of the academic study of people's decision-making. The Computers are Social Actors (CASA) paradigm posited that people will respond differently when the robot used different social cues. The robot's language might be an important social cue that makes people have different behavior and experience in the interaction. A limited amount of work has examined the effect of the robot's language. Thus, this study investigated the effects of the robot's language (native, foreign) and feedback framework (positive, neutral, negative) on users' interaction with robots in cognitive tasks. This study further used fNIRS to investigate the effects of these factors on users' brain activations. The results indicated that: (i) participants had marginally significantly higher performance, and felt significantly higher social presence when the robot used a foreign language; (ii) participants had significantly lower performance when the robot used a neutral feedback framework; (iii) participants had worse experience when the robot used a negative feedback framework; (iv) the use of a foreign language could reduce the effects of the robot's feedback framework on participants' performance and brain activations. These findings enrich the research on the foreign language effect, CASA paradigm and the feedback intervention. The findings also have implications for the design and development of robots and conversational agents.
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GB/T 7714 | Huang, Hanjing , Rau, Pei-Luen Patrick . How to Provide Feedback? The Role of Robot's Language and Feedback Framework [J]. | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION , 2023 , 40 (8) : 1856-1872 . |
MLA | Huang, Hanjing et al. "How to Provide Feedback? The Role of Robot's Language and Feedback Framework" . | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION 40 . 8 (2023) : 1856-1872 . |
APA | Huang, Hanjing , Rau, Pei-Luen Patrick . How to Provide Feedback? The Role of Robot's Language and Feedback Framework . | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION , 2023 , 40 (8) , 1856-1872 . |
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With the globalization, it is essential to investigate the robot's language on human-robot interaction. The robot's information framing may also affect people's behavior. This study investigated the effects of the robot's language (native vs. foreign) and information frame (positive vs. negative) on people's risky behavior in Balloon Analog Risk Task. The results indicated that participants' behavior was less risky when the robot used the negative frame to represent the information. Furthermore, the effect of the robot's information frame on participants' risky behavior was less obvious when the robot used a foreign language. The use of a foreign language would reduce the framing effects in human-robot interaction. The effects of the robot's language and information frame should not be neglected. The obtained findings can serve as a basis for the design of robots' language and information presentation.
Keyword :
Foreign language Foreign language Framing effect Framing effect Human-robot interaction Human-robot interaction Risky behavior Risky behavior
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GB/T 7714 | Huang, Hanjing , Rau, Pei-Luen Patrick . Effects of Robot's Language and Attribute Framing on People's Risky Behavior [J]. | CROSS-CULTURAL DESIGN, PT II, CCD 2023 , 2023 , 14023 : 376-385 . |
MLA | Huang, Hanjing et al. "Effects of Robot's Language and Attribute Framing on People's Risky Behavior" . | CROSS-CULTURAL DESIGN, PT II, CCD 2023 14023 (2023) : 376-385 . |
APA | Huang, Hanjing , Rau, Pei-Luen Patrick . Effects of Robot's Language and Attribute Framing on People's Risky Behavior . | CROSS-CULTURAL DESIGN, PT II, CCD 2023 , 2023 , 14023 , 376-385 . |
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With the rapid development of new technology, robots are increasingly being introduced into decision-making such that people can receive advice from them. Decision-making involves many variables, which should be investigated together. In the current study, we explored human-robot interaction in decision-making from the perspectives of confidence, trust, decision change, and reciprocity. We also investigated the effects of robot ability, task complexity, and risk on human-robot interaction in decision-making. We conducted an experiment where participants received advice from robots in a length judgment task, for which the participants had to select the longest line among eight lines. The results showed that participants had higher trust and confidence when receiving advice from high-ability robots. However, the participants had less confidence, reduced trust in the robots, a lower tendency to change their decision, and shared more losses with robots during complex tasks. They placed less trust in the robots and shared fewer benefits with them in a high-risk condition. Additionally, the participants' self-construal was significantly correlated with trust and gender was significantly correlated with confidence, benefits shared with the robot, and decision change. These findings can aid researchers and designers in the development of service robots.
Keyword :
Human-robot interaction Human-robot interaction risk risk robot ability robot ability task complexity task complexity trust trust
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GB/T 7714 | Huang, Hanjing , Rau, Pei-Luen Patrick , Ma, Liang . Will you listen to a robot? Effects of robot ability, task complexity, and risk on human decision-making [J]. | ADVANCED ROBOTICS , 2021 , 35 (19) : 1156-1166 . |
MLA | Huang, Hanjing et al. "Will you listen to a robot? Effects of robot ability, task complexity, and risk on human decision-making" . | ADVANCED ROBOTICS 35 . 19 (2021) : 1156-1166 . |
APA | Huang, Hanjing , Rau, Pei-Luen Patrick , Ma, Liang . Will you listen to a robot? Effects of robot ability, task complexity, and risk on human decision-making . | ADVANCED ROBOTICS , 2021 , 35 (19) , 1156-1166 . |
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An intelligent tutoring system (ITS) provides universal access to education, which is an emerging paradigm of modern education. ITS is an educational tool that provides learners with adaptive and real-time instructional content, wherever they happen to be. Learner acceptance is a critical factor for the success of an ITS. Thus, this study investigated learner acceptance of ITS based on the technology acceptance model. Additionally, this study further investigated the effects of pedagogical agents on learners' acceptance of ITSs. A total of 102 high school students were recruited to use an ITS that was incorporated as a pedagogical agent in their educational process to learn mathematics over a nine-day period. The results reveal that students' perceived usefulness had the largest effect on their intentions to use the ITS. Furthermore, the social presence of the pedagogical agent has a significant effect on students' perceived usefulness. Additionally, interpersonal attraction of the agent has a significant effect on its perceived ease of use. This study's empirical findings provide implications for both theoretical research and the practical development of ITSs that will help education professionals make full use of ITSs and pedagogical agents.
Keyword :
Intelligent tutoring systems Intelligent tutoring systems Interpersonal attraction Interpersonal attraction Pedagogical agent Pedagogical agent Social presence Social presence Technology acceptance Technology acceptance
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GB/T 7714 | Huang, Hanjing , Chen, Youjie , Rau, Pei-Luen Patrick . Exploring acceptance of intelligent tutoring system with pedagogical agent among high school students [J]. | UNIVERSAL ACCESS IN THE INFORMATION SOCIETY , 2021 , 21 (2) : 381-392 . |
MLA | Huang, Hanjing et al. "Exploring acceptance of intelligent tutoring system with pedagogical agent among high school students" . | UNIVERSAL ACCESS IN THE INFORMATION SOCIETY 21 . 2 (2021) : 381-392 . |
APA | Huang, Hanjing , Chen, Youjie , Rau, Pei-Luen Patrick . Exploring acceptance of intelligent tutoring system with pedagogical agent among high school students . | UNIVERSAL ACCESS IN THE INFORMATION SOCIETY , 2021 , 21 (2) , 381-392 . |
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Pedestrians' unsafe behavior is one of the most critical factors causing traffic incidents in China. The primary objective of this study is to explore the cause of pedestrians' unsafe behavior and provide possible solutions. We interviewed pedestrians and experts to investigate pedestrians' unsafe behaviors. Results from interviews indicated that pedestrians were likely to exhibit unsafe behavior at intersections owing to use of smartphones, reluctance to obey the rules, and unawareness of risk. According to the experts, attracting the attention of pedestrians and guiding them to exhibit safe behaviors can improve their safety. Based on these results, we designed "LookMe," which is a multimedia information system placed at the intersections, to guide pedestrians across the road and improve their experience of waiting in traffic. The results of user tests indicated that pedestrians had relatively high acceptance of LookMe. Moreover, participants wanted to see diverse multimedia information on the screen of LookMe such as news, videos, maps, and traffic information. Findings from this study can be useful in understanding why Chinese pedestrians exhibit unsafe behaviors and proposing effective solutions to enhance their safety.
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GB/T 7714 | Huang, Hanjing , Liu, Luosha , Fu, Zhiyong et al. Design, Implementation, and Evaluation of an Information System to Enhance Road Safety Level for Pedestrians in China [J]. | MOBILE INFORMATION SYSTEMS , 2021 , 2021 . |
MLA | Huang, Hanjing et al. "Design, Implementation, and Evaluation of an Information System to Enhance Road Safety Level for Pedestrians in China" . | MOBILE INFORMATION SYSTEMS 2021 (2021) . |
APA | Huang, Hanjing , Liu, Luosha , Fu, Zhiyong , Zhang, Yichi , Zhang, Jun , Tsai, Yuehlin et al. Design, Implementation, and Evaluation of an Information System to Enhance Road Safety Level for Pedestrians in China . | MOBILE INFORMATION SYSTEMS , 2021 , 2021 . |
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