Gabriel Skantze
Biographic Data
| ID | 5123308 |
|---|---|
| NAME | Gabriel Skantze |
| GIVEN NAMES | Gabriel |
| FAMILY NAME | Skantze |
| SIGNATURE | SKANTZE G |
| AFFILIATIONS | KTH Royal Institute of Technology |
| ORCID | 0000-0002-8579-1790 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Robots as Hosts in Autonomous Buses
In Autonomous Public Transport (APT), particularly with shuttle buses, passengers travel in smaller, more intimate vehicles—and in the future, such vehicles may operate without an authoritative driver or host. This setup may lead to potential safety concerns, as passengers are left alone together. Additionally, this future absence of a driver or host means that there is no one to address questions or uncertainties that may arise. One proposed sol…
Personalized language learning with an LLM chatbot
The emergence of Large Language Models (LLMs) has opened new possibilities for language learning through conversational interaction with chatbots. Yet, little empirical evidence exists on how students experience such interactions and how corrective feedback should be provided. Research suggests that immediate corrective feedback is generally more effective than delayed feedback. Nevertheless, learners' perception of this effectiveness and their p…
Backchannel behavior is idiosyncratic
In spoken conversations, speakers and their addressees constantly seek and provide different forms of audiovisual feedback, also known as backchannels, which include nodding, vocalizations and facial expressions. It has previously been shown that addressees backchannel at specific points during an interaction, namely after a speaker provided a cue to elicit feedback from the addressee. However, addressees may differ in the frequency and type of f…
Between Reality and Delusion
This work aims to provide initial guidelines towards developing companion robots with large language models (LLMs) to be part of everyday lives of older adults. Using iterative participatory design (co-design) approaches, we analyze the challenges of applying LLMs for multi-modal open-domain dialogue, deriving from older adults' (one-to-one) interactions with a personalized companion robot, built on Furhat robot with GPT-3.5. An initial study wit…
Between Reality and Delusion
This work aims to provide initial guidelines towards developing companion robots with large language models (LLMs) to be part of everyday lives of older adults. Using iterative participatory design (co-design) approaches, we analyze the challenges of applying LLMs for multi-modal open-domain dialogue, deriving from older adults' (one-to-one) interactions with a personalized companion robot, built on Furhat robot with GPT-3.5. An initial study wit…
Between Reality and Delusion
This work aims to provide initial guidelines towards developing companion robots with large language models (LLMs) to be part of everyday lives of older adults. Using iterative participatory design (co-design) approaches, we analyze the challenges of applying LLMs for multi-modal open-domain dialogue, deriving from older adults' (one-to-one) interactions with a personalized companion robot, built on Furhat robot with GPT-3.5. An initial study wit…
Backchannel behavior is idiosyncratic
In spoken conversations, speakers and their addressees constantly seek and provide different forms of audiovisual feedback, also known as backchannels, which include nodding, vocalizations and facial expressions. It has previously been shown that addressees backchannel at specific points during an interaction, namely after a speaker provided a cue to elicit feedback from the addressee. However, addressees may differ in the frequency and type of f…
Robots as Hosts in Autonomous Buses
In Autonomous Public Transport (APT), particularly with shuttle buses, passengers travel in smaller, more intimate vehicles—and in the future, such vehicles may operate without an authoritative driver or host. This setup may lead to potential safety concerns, as passengers are left alone together. Additionally, this future absence of a driver or host means that there is no one to address questions or uncertainties that may arise. One proposed sol…
Personalized language learning with an LLM chatbot
The emergence of Large Language Models (LLMs) has opened new possibilities for language learning through conversational interaction with chatbots. Yet, little empirical evidence exists on how students experience such interactions and how corrective feedback should be provided. Research suggests that immediate corrective feedback is generally more effective than delayed feedback. Nevertheless, learners' perception of this effectiveness and their p…
AI in Service Interactions (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Human–computer interaction (2 works) · Mathematics (2 works) · Psychology (2 works) · Robot (2 works) · Social Robot Interaction and HRI (2 works) · Action Observation and Synchronization (1 work) · Artificial Intelligence in Healthcare and Education (1 work)