This magazine is from a federated server and may be incomplete. Browse more on the original instance.
Abstract: Instruction-tuned Large Language Models (LLMs) have achieved breakthrough results, opening countless new possibilities for many practical applications. However, LLMs lack elementary safety features that are established norms in other areas of computer science, such as the separation between instructions and data,...
Blog: qwenlm.github.io/blog/qwen-moe/
I did a comparison of these two AI chatbots and even discussed some alternatives. Would love to hear your feedback.
Abstract: The rapid development of artificial intelligence technology allows robots to have social functions. In the case of human individuals interacting directly with a robot with artificial intelligence, if the individual can perceive the same or similar feelings as they have when interacting with a real human, the robot can...
Full title: Perceived Empathy of Technology Scale (PETS): Measuring Empathy of Systems Toward the User (I don’t know why it got rejected by Lemmy)...
Abstract: The revolution of artificial intelligence (AI), particularly generative AI, and its implications for human–robot interaction (HRI) opened up the debate on crucial regulatory, business, societal, and ethical considerations. This paper explores essential issues from the anthropomorphic perspective, examining the...
Abstract: The research on emotional intelligence in social robots is growing. This paper provides a thematic analysis of the studies on robots and emotional intelligence, synthesising and evaluating current knowledge and research topics. In addition, based on the thematic analysis of the studies, it also provides a conceptual...
Abstract: This research explores the challenges of human-quadruped robot partnership in the process of construction inspection and monitoring. Quadruped robots have shown potential in construction inspection and monitoring because of their ability in traversing uneven terrains. Construction inspection and monitoring which is a...
Abstract: Robots are a source of evaluative conflict and thus elicit ambivalence. In fact, psychological research has shown across domains that people simultaneously report strong positive and strong negative evaluations about one and the same attitude object. This is defined as ambivalence. In the current research, we extended...
Abstract: Aiming to foster responsible and sustainable consumption, we developed a shopping scenario with an assistive robot that intervenes with some of the test participants’ shopping requests when they are at odds with the agreed shopping agenda. While a former quantitative analysis of the experimental setup gave insights...
Abstract: The absence of transparency in robot processes presents a substantial obstacle to facilitating effective human- robot collaboration, particularly in response to the escalating need for autonomous human-robot interaction. This challenge assumes greater significance in non-industrial contexts, as it hinders humans from...
Abstract: With robots increasingly integrated into various areas of life, the question of relationships with them is gaining prominence. Are friendship and partnership with robots possible? While there is already extensive research on relationships with robots, this article critically examines whether the relationship with...
Abstract: Touching a friend to comfort or be comforted is a common prosocial behaviour, firmly based in mutual trust. Emphasising the interactive nature of trust and touch, we suggest that vulnerability, reciprocity and individual differences shape trust and perceptions of touch. We further investigate whether these elements...
Abstract: Conveying human goals to autonomous systems (AS) occurs both when the system is being designed and when it is being operated. The design-step conveyance is typically mediated by robotics and AI engineers, who must appropriately capture end-user requirements and concepts of operations, while the operation-step...
Assessing the relevance of responses from systems like web search engines, question answering tools, and knowledge bases is traditionally done by having humans judge whether the responses meet the user’s information need. However, with recent advances in large language models (LLMs) like ChatGPT, researchers have started...
Abstract: Conversational models often face challenges such as a lack of emotional temperament and a limited sense of humor when interacting with users. To address these issues, we have selected relevant data and fine-tuned the model to (i) humanize the chatbot based on the user’s emotional response and the context of the...
Abstract: Mild Cognitive Impairment (MCI) is a prodrome stage of Alzheimer’s Disease and related dementia. Its detection is essential for early intervention and cohort enrichment. A recent clinical trial showed that frequent conversation is an effective dementia risk-reduction strategy against social isolation and cognitive...
Abstract: Understanding the socio-cultural context is crucial in machine translation (MT). Although conversational AI systems and chatbots, in particular, are not designed for translation, they can be used for MT purposes. Yet, chatbots often struggle to identify any socio-cultural context during user interactions. In this...
Abstract: Chatbots are a growing subject of interest to marketers. This paper analyses the comparison of Prosper Insights and Analytics September 2023 data on consumer preference for chatbots to a live person, including the Big Five personality dimensions. Chatbot preferers are younger, have children and are also more likely to...
Abstract:...
Abstract: In this project, researchers from the Zurich University of Applied Sciences (ZHAW), who specialize in chatbots, avatars, and communication in virtual worlds, engaged in dialogue with young people. How do teenagers and young adults aged 13 to 29 talk about artificial intelligence that possesses emotional capabilities?...
Abstract: This paper reports on a mixed-methods study delving into EFL students’ experiences and perspectives on a text-based pedagogical chatbot. Utilizing chatbot-mediated interaction, a questionnaire survey, and focus group discussions, the study centers around the cognitive and affective domains of learning in relation to...
Abstract: The advancement of Large Language Models (LLMs) has led to significant enhancements in the performance of chatbot systems. Many researchers have dedicated their efforts to the development of bringing characteristics to chatbots. While there have been commercial products for developing role-driven chatbots using LLMs,...