Grounding Embodied Multimodal Interaction : Towards Behaviourally Established Semantic Foundations for Human-Centered AI : The 1st International Workshop on Knowledge Representation for Hybrid Intelligence (KR4HI 2022), part of International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022), Amsterdam, The Netherlands, June 13-17, 2022
(2022) The 1st International Workshop on Knowledge Representation for Hybrid Intelligence- Abstract
- We position recent and emerging research in cognitive vision and perception addressing three key questions: (1) What kind of relational abstraction mechanisms are needed to perform (explainable) grounded inference --e.g., question-answering, qualitative generalisation, hypothetical reasoning-- relevant to embodied multimodal interaction? (2) How can such abstraction mechanisms be founded on behaviourally established cognitive human-factors emanating from naturalistic empirical observation? and (3) How to articulate behaviourally established abstraction mechanisms as formal declarative models suited for grounded knowledge representation and reasoning (KR) as part of large-scale hybrid AI and computational cognitive systems. We contextualise... (More)
- We position recent and emerging research in cognitive vision and perception addressing three key questions: (1) What kind of relational abstraction mechanisms are needed to perform (explainable) grounded inference --e.g., question-answering, qualitative generalisation, hypothetical reasoning-- relevant to embodied multimodal interaction? (2) How can such abstraction mechanisms be founded on behaviourally established cognitive human-factors emanating from naturalistic empirical observation? and (3) How to articulate behaviourally established abstraction mechanisms as formal declarative models suited for grounded knowledge representation and reasoning (KR) as part of large-scale hybrid AI and computational cognitive systems. We contextualise (1--3) in the backdrop of recent results at the interface of AI/KR, and Spatial Cognition and Computation. Our main purpose is to emphasise the importance of behavioural research based foundations for next-generation, human-centred AI, e.g., as relevant to applications in Autonomous Vehicles, Social and Industrial Robots, and Visuo-Auditory Media. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/09034c21-7bea-452a-96a9-cf67c47a51cb
- author
- Kondyli, Vasiliki LU ; Suchan, Jakob and Bhatt, Mehul
- publishing date
- 2022
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- Multimodal Interaction, Commonsense Reasoning, Declarative Spatial Reasoning, Declarative AI, Explainable AI, Cognitive Human-Factors, Cognitive Systems, Computer Sciences, Datavetenskap (datalogi), Computer Vision and Robotics (Autonomous Systems), Datorseende och robotik (autonoma system), Human Computer Interaction, Människa-datorinteraktion (interaktionsdesign), Psychology, Psykologi
- conference name
- The 1st International Workshop on Knowledge Representation for Hybrid Intelligence
- conference location
- Amsterdam, Netherlands
- conference dates
- 2022-06-13 - 2022-06-17
- language
- English
- LU publication?
- no
- id
- 09034c21-7bea-452a-96a9-cf67c47a51cb
- alternative location
- http://oru.diva-portal.org/smash/get/diva2:1672170/FULLTEXT01.pdf
- date added to LUP
- 2024-12-18 15:15:54
- date last changed
- 2025-04-04 13:53:23
@misc{09034c21-7bea-452a-96a9-cf67c47a51cb,
abstract = {{We position recent and emerging research in cognitive vision and perception addressing three key questions: (1) What kind of relational abstraction mechanisms are needed to perform (explainable) grounded inference --e.g., question-answering, qualitative generalisation, hypothetical reasoning-- relevant to embodied multimodal interaction? (2) How can such abstraction mechanisms be founded on behaviourally established cognitive human-factors emanating from naturalistic empirical observation? and (3) How to articulate behaviourally established abstraction mechanisms as formal declarative models suited for grounded knowledge representation and reasoning (KR) as part of large-scale hybrid AI and computational cognitive systems. We contextualise (1--3) in the backdrop of recent results at the interface of AI/KR, and Spatial Cognition and Computation. Our main purpose is to emphasise the importance of behavioural research based foundations for next-generation, human-centred AI, e.g., as relevant to applications in Autonomous Vehicles, Social and Industrial Robots, and Visuo-Auditory Media.}},
author = {{Kondyli, Vasiliki and Suchan, Jakob and Bhatt, Mehul}},
keywords = {{Multimodal Interaction; Commonsense Reasoning; Declarative Spatial Reasoning; Declarative AI; Explainable AI; Cognitive Human-Factors; Cognitive Systems; Computer Sciences; Datavetenskap (datalogi); Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system); Human Computer Interaction; Människa-datorinteraktion (interaktionsdesign); Psychology; Psykologi}},
language = {{eng}},
title = {{Grounding Embodied Multimodal Interaction : Towards Behaviourally Established Semantic Foundations for Human-Centered AI : The 1st International Workshop on Knowledge Representation for Hybrid Intelligence (KR4HI 2022), part of International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022), Amsterdam, The Netherlands, June 13-17, 2022}},
url = {{http://oru.diva-portal.org/smash/get/diva2:1672170/FULLTEXT01.pdf}},
year = {{2022}},
}