Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)
| Autor: | Aditi Ramachandran, Sinan Kalkan, Bahar Irfan, German Ignacio Parisi, Samuel Spaulding, Hatice Gunes |
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| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Service (systems architecture) Computer science User modeling Lifelong learning Context (language use) 02 engineering and technology Human–robot interaction Variety (cybernetics) Personalization 020901 industrial engineering & automation Human–computer interaction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Adaptation (computer science) |
| Zdroj: | HRI (Companion) |
| DOI: | 10.1145/3434074.3444881 |
| Popis: | While most of the research in Human-Robot Interaction (HRI) focuses on short-term interactions, long-term interactions require bolder developments and a substantial amount of resources, especially if the robots are deployed in the wild. Robots need to incrementally learn new concepts or abilities in a lifelong fashion to adapt their behaviors within new situations and personalize their interactions with users to maintain their interest and engagement. The "Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)" Workshop aims to take a leap from the traditional HRI approaches towards addressing the developments and challenges in these areas and create a medium for researchers to share their work in progress, present preliminary results, learn from the experience of invited researchers and discuss relevant topics. The workshop extends the topics covered in the "Personalization in Long-Term Human-Robot Interaction (PLOT-HRI)" Workshop at the 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) and "Lifelong Learning for Long-term Human-Robot Interaction (LL4LHRI)" Workshop at the 29th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), and focuses on studies on lifelong learning and adaptivity to users, context, environment, and tasks in long-term interactions in a variety of fields (e.g., education, rehabilitation, elderly care, collaborative tasks, customer-oriented service and companion robots). |
| Databáze: | OpenAIRE |
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