Expectations and beyond: The nexus of AI instrumentality and brand credibility in voice assistant retention using extended expectation-confirmation model

AI-based voice assistants (AIVA) are capable of interpreting human speech and responding with useful information, aiding with tasks, and controlling other devices. The usage of these AIVAs has grown significantly worldwide. Despite this growth, studies on user behavior related to continued usage intention of AIVAs and effects on the long-term commercial sustainability of brands, remain low. What is less understood is the potential of AI instrumentality attributes and brand credibility components in provoking shifts in post-use behavior of AIVAs. This study proposes a model which expands on the Expectation-Confirmation Model for user continuance behavior of AIVAs, by integrating user's technology related traits, AI instrumentality attributes and brand credibility. To verify the research hypotheses, the study employed partial least square—structural equation modelling, based on 281 validated responses of a survey. This study highlights the significance of Optimism, Innovativeness, and Discomfort for post-adoption confirmation. Higher post-adoption confirmation is strongly associated with perceived intelligence, anthropomorphism, information quality, and system quality. Anthropomorphism and information quality are key factors for brand expertise, while anthropomorphism and system quality are significant for brand trustworthiness. The study confirms that brand expertise and trustworthiness lead to post-use satisfaction and use continuance intention. Understanding the antecedents of satisfaction and continuance intention extends the existing literature on AIVAs and provides valuable insights for academics and practitioners alike. Some implications for researchers and managers are discussed.     

左侧背外侧前额叶在程序性运动学习中的作用

程序性运动学习包括序列学习和随机学习。神经影像学研究表明背外侧前额叶皮层(DLPFC)和初级运动皮层(M1)在程序性运动学习中发挥重要作用, 但DLPFC和M1之间的联通性及其与不同程序性运动学习的关系尚不明确。本研究采用连续反应时间任务, 结合经颅磁刺激(TMS)方法, 探讨左侧DLPFC到M1的联通性在不同程序性运动学习中的差异。实验1采用两连发TMS探测DLPFC到M1的最佳投射时间点; 实验2, 被试分为2组, 分别进行序列学习和随机学习, 在学习前、后采集行为学数据, 以及M1的运动诱发电位和DLPFC-M1联通性的电生理学数据。行为学结果发现序列学习组的学习效果更佳; 电生理学结果发现, 两组被试学习前、后M1的运动诱发电位均未发生改变; 在最佳时间投射点、适当刺激强度下, 序列学习组DLPFC-M1联通性发生改变, 且与学习成绩相关, 而随机学习组没有改变。结果说明DLPFC到M1的联通性增强可能是序列学习成绩更佳的重要原因, 这一结果从电生理角度为DLPFC在运动学习中的作用提供了重要证据。     

Religious Discrimination Scale: Development and Initial Psychometric Evaluation

Journal of Religion and Health - This study presents the development and initial psychometric evaluation of the Religious Discrimination Scale (RDS). This 11-item instrument identified three...     

父母冲突与中学生应对方式的关系:教养方式和情绪安全感的链式中介作用

为了探讨父母冲突、父母教养方式、情绪安全感和应对方式的关系,研究采用量表对北京市和河南省1322名初一到高二的学生进行调查。结果表明：父母冲突直接影响中学生的应对方式,且存在三条路径：通过父母教养方式的单独中介作用影响中学生的积极应对方式和父母消极教养方式的单独中介作用影响中学生的消极应对方式;通过情绪不安全感的单独中介作用影响中学生的应对方式;通过父母消极教养方式和情绪不安全感的链式中介作用影响中学生的应对方式。因此减少和避免父母冲突,提高中学生的情绪安全感,同时给予中学生积极教养方式,减少和避免消极教养方式,有利于中学生积极应对方式的发展。     

Out of mind,out of sight? Investigating abnormal face scanning in autism spectrum disorder using gaze‐contingent paradigm

Diminished social motivation is hypothesized to explain abnormal face scanning pattern in individuals with autism spectrum disorder (ASD), especially reduced eye‐looking time in ASDs than typically developing (TD) people. Here, we tested an alternative explanation that children with ASD may use a compensatory strategy to avoid direct eye contact by processing the eyes through peripheral vision. We compared the face scanning patterns of children with and without ASD in two conditions: in the clear condition, the face was completely visible; in the blur condition, by using the gaze‐contingent paradigm, the whole face was blurred except for a small region being fixated at, thus children could not rely on the peripheral information to process the eyes. We found that children with ASD fixated less on the eyes than TD children in both conditions. Temporal‐course analyses further revealed the possible motivation‐based guidance of attention to process the eyes in the TD group but not in the ASD group. Additionally, we found that children with ASD scanned faces more randomly and less strategically than TD children. These results have ruled out the alternative hypothesis that the abnormal face scanning pattern in ASDs was due to their compensatory strategy to process eyes through peripheral vision, furthering our understanding of the mechanisms underlying their abnormal face scanning.     

机器学习在抑郁症领域的应用

抑郁症患者疾病意识的不足以及早期筛查方法的缺乏导致患者在被诊断时大多已发展至重性抑郁障碍。为改善现状, 近年来机器学习被逐渐应用到抑郁症的早期预测、早期识别、辅助诊断和治疗决策中。在应用中, 机器学习模型准确性的影响因素包括样本集种类及规模、特征工程、算法类型等。建议未来将机器学习进一步融入医疗健康系统及移动应用程序等, 不断优化机器学习模型, 通过充分挖掘患者健康数据来改善抑郁症的预防、识别、诊断和治疗等相关问题。     

Screening alloy electrocatalysts by combining magnetron sputtering and scanning electrochemical microscopy

A high-throughput approach for developing materials is revolutionizing the current trial-and-error mode with great potential for accelerating the process. Here, we propose a simple approach combining multitarget sputtering and scanning electrochemical microscopy for the screening of hydrogen evolution reaction (HER) electrocatalysts. The ternary Co–Ni–Cu system is used as to demonstrate the feasibility of the strategy. The optimized composition for a HER catalyst is determined to be Co₁₄Ni₅₃Cu₃₃.     

青少年早期攻击和违纪行为的关系：受欢迎度的调节作用

以1755名初中一年级青少年为被试考察青少年早期个体攻击和违纪行为之间的关系,并对受欢迎度的调节作用进行了检验。结果表明,（1）在青少年早期,身体攻击能正向预测违纪行为,而关系攻击不能。（2）个体的受欢迎度能够调节身体攻击与违纪行为间的关系,具体表现为身体攻击对不受欢迎个体违纪行为的影响比对受欢迎个体的影响更大。