Andreas Janson
Datos Biográficos
| ID | 4029520 |
|---|---|
| NOMBRE | Andreas Janson |
| NOMBRES | Andreas |
| APELLIDO | Janson |
| FIRMA | JANSON A |
| AFILIACIONES | University of St.Gallen |
| ORCID | 0000-0003-3149-0340 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 10 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 10 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2021 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Common ground improves learning with conversational agents
Although conversational agents are successfully applied in teaching, it is largely unclear which communication principles should be employed to optimise learning. We examine the influence of common ground (i.e. shared knowledge on which to build during conversation) on learning. In an in-class experiment, students studied with one of two pedagogical conversational agents. The control version provided information without emphasising grounding, whe…
Do human trust models transfer to AI? a necessary condition analysis of interpersonal trust antecedents in large language model-based coaching
Making the default more legitimate – the role of autonomy and transparency for digital privacy nudges
Purpose This paper examines the concept of digital privacy nudging, a promising approach from behavioral economics that uses subtle cues to influence people’s decisions online. We research the concepts of autonomy and transparency for privacy nudging in digital networking systems for the context of digital work. Design/methodology/approach The paper draws on the literature on digital privacy nudging to develop and test a theoretical model that ta…
Promoting students’ motivation in language education with gamified pedagogical conversational agents
Pedagogical conversational agents (PCAs) like chatbots are a novel approach to technology-mediated language learning with artificial intelligence. They convey learning content interactively and accompany students in their education. However, many users find conversations with PCAs unmotivating. Gamification is a suitable solution to these motivational hurdles due to its playful nature. Given the difficulty of selecting the appropriate game elemen…
Uncovering the mechanisms of common ground in human–agent interaction
Purpose Human–agent interaction (HAI) is increasingly influencing our personal and work lives through the proliferation of conversational agents (CAs) in various domains. As such, these agents combine intuitive natural language interactions by also delivering personalization through artificial intelligence capabilities. However, research on CAs as well as practical failures indicates that CA interaction oftentimes fails miserably. To reduce these…
AI literacy and its implications for prompt engineering strategies
Artificial intelligence technologies are rapidly advancing. As part of this development, large language models (LLMs) are increasingly being used when humans interact with systems based on artificial intelligence (AI), posing both new opportunities and challenges. When interacting with LLM-based AI system in a goal-directed manner, prompt engineering has evolved as a skill of formulating precise and well-structured instructions to elicit desired …
How to leverage anthropomorphism for chatbot service interfaces
Although chatbots are oftentimes used in customer service encounters, interactions are oftentimes perceived as not satisfactory. One key aspect for designing chatbots is the use of anthropomorphic design elements. In this experimental study, we examine the two anthropomorphic chatbot design elements of personification, which includes a human-like appearance, and social orientation of communication style, which means a more sensitive and extensive…
Designing a Co-creation System for the Development of Work-process-related Learning Material in Manufacturing
The increasing digitalization and automatization in the manufacturing industry as well as the need to learn on the job has reinforced the need for much more granular learning, which has not yet impacted the design of learning materials. In this regard, granular learning concepts require situated learning materials to support self-directed learning in the workplace in a targeted manner. Co-creation approaches offer promising opportunities to suppo…
Enhancing argumentative writing with automated feedback and social comparison nudging
The advantages offered by natural language processing (NLP) and machine learning enable students to receive automated feedback on their argumentation skills, independent of educator, time, and location. Although there is a growing amount of literature on formative argumentation feedback, empirical evidence on the effects of adaptive feedback mechanisms and novel NLP approaches to enhance argumentative writing remains scarce. To help fill this gap…
Two decades of game concepts in digital learning environments – A bibliometric study and research agenda
In recent years, using game concepts for educational purposes in digital environments has become continually more popular and relevant. Games can be used to motivate and engage users in regular system use and, in the end, support learners in achieving better learning outcomes. In this context, different kinds of game concepts exist, such as gamification or serious games, each with a different perspective and usefulness in digital learning environ…
Sin obras prominentes en esta página.
Two decades of game concepts in digital learning environments – A bibliometric study and research agenda
In recent years, using game concepts for educational purposes in digital environments has become continually more popular and relevant. Games can be used to motivate and engage users in regular system use and, in the end, support learners in achieving better learning outcomes. In this context, different kinds of game concepts exist, such as gamification or serious games, each with a different perspective and usefulness in digital learning environ…
Enhancing argumentative writing with automated feedback and social comparison nudging
The advantages offered by natural language processing (NLP) and machine learning enable students to receive automated feedback on their argumentation skills, independent of educator, time, and location. Although there is a growing amount of literature on formative argumentation feedback, empirical evidence on the effects of adaptive feedback mechanisms and novel NLP approaches to enhance argumentative writing remains scarce. To help fill this gap…
How to leverage anthropomorphism for chatbot service interfaces
Although chatbots are oftentimes used in customer service encounters, interactions are oftentimes perceived as not satisfactory. One key aspect for designing chatbots is the use of anthropomorphic design elements. In this experimental study, we examine the two anthropomorphic chatbot design elements of personification, which includes a human-like appearance, and social orientation of communication style, which means a more sensitive and extensive…
Designing a Co-creation System for the Development of Work-process-related Learning Material in Manufacturing
The increasing digitalization and automatization in the manufacturing industry as well as the need to learn on the job has reinforced the need for much more granular learning, which has not yet impacted the design of learning materials. In this regard, granular learning concepts require situated learning materials to support self-directed learning in the workplace in a targeted manner. Co-creation approaches offer promising opportunities to suppo…
AI literacy and its implications for prompt engineering strategies
Artificial intelligence technologies are rapidly advancing. As part of this development, large language models (LLMs) are increasingly being used when humans interact with systems based on artificial intelligence (AI), posing both new opportunities and challenges. When interacting with LLM-based AI system in a goal-directed manner, prompt engineering has evolved as a skill of formulating precise and well-structured instructions to elicit desired …
Promoting students’ motivation in language education with gamified pedagogical conversational agents
Pedagogical conversational agents (PCAs) like chatbots are a novel approach to technology-mediated language learning with artificial intelligence. They convey learning content interactively and accompany students in their education. However, many users find conversations with PCAs unmotivating. Gamification is a suitable solution to these motivational hurdles due to its playful nature. Given the difficulty of selecting the appropriate game elemen…
Uncovering the mechanisms of common ground in human–agent interaction
Purpose Human–agent interaction (HAI) is increasingly influencing our personal and work lives through the proliferation of conversational agents (CAs) in various domains. As such, these agents combine intuitive natural language interactions by also delivering personalization through artificial intelligence capabilities. However, research on CAs as well as practical failures indicates that CA interaction oftentimes fails miserably. To reduce these…
Common ground improves learning with conversational agents
Although conversational agents are successfully applied in teaching, it is largely unclear which communication principles should be employed to optimise learning. We examine the influence of common ground (i.e. shared knowledge on which to build during conversation) on learning. In an in-class experiment, students studied with one of two pedagogical conversational agents. The control version provided information without emphasising grounding, whe…
Do human trust models transfer to AI? a necessary condition analysis of interpersonal trust antecedents in large language model-based coaching
Making the default more legitimate – the role of autonomy and transparency for digital privacy nudges
Purpose This paper examines the concept of digital privacy nudging, a promising approach from behavioral economics that uses subtle cues to influence people’s decisions online. We research the concepts of autonomy and transparency for privacy nudging in digital networking systems for the context of digital work. Design/methodology/approach The paper draws on the literature on digital privacy nudging to develop and test a theoretical model that ta…
Computer Science (9 obras) · Psychology (8 obras) · AI in Service Interactions (5 obras) · Artificial Intelligence (5 obras) · Engineering (3 obras) · Knowledge management (3 obras) · Mathematics education (3 obras) · Pedagogy (3 obras) · Social Robot Interaction and HRI (3 obras) · Artificial Intelligence (2 obras)