PHD POSITION ON INTERACTION FOR POLYVOCAL KNOWLEDGE ACQUISITION

at  Vrije Universiteit Amsterdam

• Nieuwe Universiteitsgebouw (NU)
• Amsterdam
• 0.8 / 1
• Faculteit der Bètawetenschappen
• Promovendus
• WO / MSc
• Sluit op01-09-2024
  A fully funded PhD position is available at the Computer Science department of Vrije Universiteit Amsterdam on methods of interaction for polyvocal knowledge graphs for Hybrid Intelligence in the cultural heritage.

YOUR FUNCTION

Effective Hybrid Intelligence (HI) systems will need to be sensitive to and aware of the diversity of the users and their perspectives. Knowledge Graphs provide representation formats and mechanisms to represent multiple perspectives. This PhD position investigates how multi-perspective or polyvocal information can be elicited in HI scenarios through interaction with various end users.
This research project within the larger Hybrid Intelligence programme is a collaboration between VU and UTwente. The project will be situated in a number of ongoing digital cultural heritage and digital humanities collaborations such as Pressing Matter, InTaVia and Clariah. The PhD candidate will be able to collaborate with heritage partners through ongoing collaborations that are maintained in the context of the Cultural AI (cultural-ai.nl) lab and similar collaborations spearheaded by UTwente.
Within the project, we will focus on the application domain of cultural heritage where several existing Knowledge Graphs describing tangible and intangible heritage data are available. Your research will investigate the effectiveness of various interaction design patterns to elicit polyvocal annotations of existing objects and enrichments of existing Knowledge Graphs in that domain. Here, the variety and the perspective of the users (cultural, geographical, gender etc) is to be taken into account. The research question on how to elicit such information in an ethical and responsible manner is a crucial part of this research.
If you are passionate about user interaction design patterns, cultural heritage information, and Hybrid Intelligence and curious to join us in this exciting research, then we are looking for you!

YOUR PROFILE

• You hold or will soon hold a MSc degree in Computer Science, Artificial Intelligence, Information Sciences or similar field.
• You have an interest in human-computer interaction, intelligent user interfaces, hybrid human-AI intelligence or similar topics relevant to the position.
• Interest in knowledge graphs, digital humanities are a plus.
• You have good proficiency in English in speaking and writing.
• You have good communication skills, take initiative, and have a strong interest in working in a multidisciplinary team.
  Starting date of the position: 1 September 2024
  As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset.
  We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.

YOUR FUNCTION

Effective Hybrid Intelligence (HI) systems will need to be sensitive to and aware of the diversity of the users and their perspectives. Knowledge Graphs provide representation formats and mechanisms to represent multiple perspectives. This PhD position investigates how multi-perspective or polyvocal information can be elicited in HI scenarios through interaction with various end users.
This research project within the larger Hybrid Intelligence programme is a collaboration between VU and UTwente. The project will be situated in a number of ongoing digital cultural heritage and digital humanities collaborations such as Pressing Matter, InTaVia and Clariah. The PhD candidate will be able to collaborate with heritage partners through ongoing collaborations that are maintained in the context of the Cultural AI (cultural-ai.nl) lab and similar collaborations spearheaded by UTwente.
Within the project, we will focus on the application domain of cultural heritage where several existing Knowledge Graphs describing tangible and intangible heritage data are available. Your research will investigate the effectiveness of various interaction design patterns to elicit polyvocal annotations of existing objects and enrichments of existing Knowledge Graphs in that domain. Here, the variety and the perspective of the users (cultural, geographical, gender etc) is to be taken into account. The research question on how to elicit such information in an ethical and responsible manner is a crucial part of this research.
If you are passionate about user interaction design patterns, cultural heritage information, and Hybrid Intelligence and curious to join us in this exciting research, then we are looking for you!

YOUR PROFILE

• You hold or will soon hold a MSc degree in Computer Science, Artificial Intelligence, Information Sciences or similar field.
• You have an interest in human-computer interaction, intelligent user interfaces, hybrid human-AI intelligence or similar topics relevant to the position.
• Interest in knowledge graphs, digital humanities are a plus.
• You have good proficiency in English in speaking and writing.
• You have good communication skills, take initiative, and have a strong interest in working in a multidisciplinary team.
  Starting date of the position: 1 September 2024
  As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset.
  We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.

In the project, you will investigate generic methods for eliciting polyvocal Knowledge Graphs enrichments in Hybrid Intelligence scenarios through interaction designs. As background knowledge, we have access to structured information in cultural Heritage Knowledge Graphs and unstructured information in text. During the interactions with different groups of users, a system can prompt/suggest enrichments that might be consistent or inconsistent with users’ view. This way, we can connect different views to different groups of users. To determine where enrichments or annotations are useful, interaction patterns for user dialogs will need to be established to elicit this information. The research questions therefore are threefold:

• How can knowledge graphs and textual information be combined with user contexts for graph enrichment?
• What are effective and ethical interaction patterns to elicit user context and perspective?
• What are effective and ethical interaction patterns to elicit graph enrichments, while retaining context and perspective

In the project, you will investigate generic methods for eliciting polyvocal Knowledge Graphs enrichments in Hybrid Intelligence scenarios through interaction designs. As background knowledge, we have access to structured information in cultural Heritage Knowledge Graphs and unstructured information in text. During the interactions with different groups of users, a system can prompt/suggest enrichments that might be consistent or inconsistent with users’ view. This way, we can connect different views to different groups of users. To determine where enrichments or annotations are useful, interaction patterns for user dialogs will need to be established to elicit this information. The research questions therefore are threefold:

• How can knowledge graphs and textual information be combined with user contexts for graph enrichment?
• What are effective and ethical interaction patterns to elicit user context and perspective?
• What are effective and ethical interaction patterns to elicit graph enrichments, while retaining context and perspective

YOUR DUTIES

In the project, you will investigate generic methods for eliciting polyvocal Knowledge Graphs enrichments in Hybrid Intelligence scenarios through interaction designs. As background knowledge, we have access to structured information in cultural Heritage Knowledge Graphs and unstructured information in text. During the interactions with different groups of users, a system can prompt/suggest enrichments that might be consistent or inconsistent with users’ view. This way, we can connect different views to different groups of users. To determine where enrichments or annotations are useful, interaction patterns for user dialogs will need to be established to elicit this information. The research questions therefore are threefold:

• How can knowledge graphs and textual information be combined with user contexts for graph enrichment?
• What are effective and ethical interaction patterns to elicit user context and perspective?
• What are effective and ethical interaction patterns to elicit graph enrichments, while retaining context and perspective?

The interaction patterns can be implemented in a variety of modalities, for example in an immersive Virtual Reality application, an interactive voice response system (IVR) or a mobile application. The research will result in general patterns, supporting tooling to implement this in the various modalities and evaluations of these two.

Your day-to-day duties will be to:

• perform scientific research on polyvocal knowledge acquisition, including the design and execution of user experiments
• collaborate with other researchers from VU and UTwente, the Hybrid Intelligence projects and the Cultural AI Lab
• write scientific papers for international peer-reviewed conferences and journals
• present your work in international and national, academic and non-academic venues
• finalize the work in a PhD thesis
• a limited amount of teaching (e.g., helping with a lab course, max 10% of your time)

YOUR DUTIES

In the project, you will investigate generic methods for eliciting polyvocal Knowledge Graphs enrichments in Hybrid Intelligence scenarios through interaction designs. As background knowledge, we have access to structured information in cultural Heritage Knowledge Graphs and unstructured information in text. During the interactions with different groups of users, a system can prompt/suggest enrichments that might be consistent or inconsistent with users’ view. This way, we can connect different views to different groups of users. To determine where enrichments or annotations are useful, interaction patterns for user dialogs will need to be established to elicit this information. The research questions therefore are threefold:

• How can knowledge graphs and textual information be combined with user contexts for graph enrichment?
• What are effective and ethical interaction patterns to elicit user context and perspective?
• What are effective and ethical interaction patterns to elicit graph enrichments, while retaining context and perspective?

The interaction patterns can be implemented in a variety of modalities, for example in an immersive Virtual Reality application, an interactive voice response system (IVR) or a mobile application. The research will result in general patterns, supporting tooling to implement this in the various modalities and evaluations of these two.

Your day-to-day duties will be to:

• perform scientific research on polyvocal knowledge acquisition, including the design and execution of user experiments
• collaborate with other researchers from VU and UTwente, the Hybrid Intelligence projects and the Cultural AI Lab
• write scientific papers for international peer-reviewed conferences and journals
• present your work in international and national, academic and non-academic venues
• finalize the work in a PhD thesis
• a limited amount of teaching (e.g., helping with a lab course, max 10% of your time)