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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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publications
Capturing the city’s heritage on-the-go: Design requirements for mobile crowdsourced cultural heritage
Published in MDPI Sustainability 2020, 2020
This paper addresses a suggested route for conceiving, designing and appraising a digital framework intended to support the conservation of the intangible experience, from a user and a collective-centred perspective.
Recommended citation: Hannewijk, B., Vinella, F. L., Khan, V. J., Lykourentzou, I., Papangelis, K., & Masthoff, J. (2020). Capturing the city’s heritage on-the-go: Design requirements for mobile crowdsourced cultural heritage. Sustainability, 12(6), 2429. https://www.mdpi.com/2071-1050/12/6/2429
Motivational Principles and Personalisation Needs for Geo-Crowdsourced Intangible Cultural Heritage Mobile Applications
Published in 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020
This paper explores a number of proven and novel motivational factors destined for the preservation and collection of Intangible Cultural Heritage (ICH) through geoCAs. By providing an overview of personalisation research and digital behaviour interventions for geo-crowdsoured ICH, the paper examines the most relevant usability and trigger factors for different crowd users, supported by a range of technology-based principles.
Recommended citation: Vinella, F. L., Lykourentzou, I., & Papangelis, K. (2020, July). Motivational Principles and Personalisation Needs for Geo-Crowdsourced Intangible Cultural Heritage Mobile Applications. In Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization (pp. 362-369). https://dl-acm-org.proxy.library.uu.nl/doi/abs/10.1145/3386392.3399284
Users’ Preferences of Profiling Attributes on Crowdsourcing Team Formation Systems
Published in 16th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP), 2021
This study investigates crowd users’ preferences of profiling attributes displayed on online team formation systems. To evaluate participants’ preferences, we looked at their willingness to see and their perceived usefulness across several profiling attributes grouped into surface-level and deep-level traits.
Recommended citation: Vinella, F. L., Lykourentzou, I., & Masthoff, J. (2021, November). Users' Preferences of Profiling Attributes on Crowdsourcing Team Formation Systems. In 2021 16th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP) (pp. 1-10). IEEE. https://ieeexplore-ieee-org.proxy.library.uu.nl/abstract/document/9610773
Symbiotic Child Emotional Support with Social Robots and Temporal Knowledge Graphs
Published in Human-Centered Design of Symbiotic Hybrid Intelligence Workshop HHAI, 2022
In this paper, we suggest the development of a symbiotic framework for real-time Emotional Support (ES) with social robots Knowledge Graphs (KG). By augmenting a domain-specific corpus from the literature on ES for children (between the age of 8 and 12) and providing scenario-driven context including the history of events, we suggest developing an experimental knowledge-aware ES framework.
Recommended citation: Saccardi, I., Islakoglu, D. S., Neerincx, A., & Vinella, F. L. (2022). Symbiotic Child Emotional Support with Social Robots and Temporal Knowledge Graphs. arXiv preprint arXiv:2205.13229. https://arxiv.org/abs/2205.13229
Crowdsourcing Team Formation With Worker-Centered Modeling
Published in Frontiers in Artificial Intelligence - Special Edition, 2022
In this paper, we investigate different ways that crowd teams can be formed through three team formation models namely bottom-up, top-down, and hybrid. By simulating an open collaboration scenario such as a hackathon, we observe that the bottom-up model forms the most competitive teams with the highest teamwork quality.
Recommended citation: Vinella, F. L., Hu, J., Lykourentzou, I., & Masthoff, J. (2022). Crowdsourcing Team Formation With Worker-Centered Modeling. Frontiers in Artificial Intelligence, 5. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184727/
How Personality and Communication Patterns Affect Online ad-hoc Teams Under Pressure
Published in Frontiers in Artificial Intelligence - Special Edition, 2022
This study explores the dynamics between 120 crowd participants paired into 60 virtual dyads and their collaboration outcome during the execution of a high-pressure, time-bound task. Results show that the personality trait of Openness to experience may impact team performance with teams with higher minimum levels of Openness more likely to defuse the bomb on time.
Recommended citation: Vinella, F., Odo, C., Lykourentzou, I., & Masthoff, J. How Personality and Communication Patterns Affect Online Ad-Hoc Teams Under Pressure. Frontiers in Artificial Intelligence, 119. https://scholar.google.com/scholar?oi=bibs&cluster=2382702967249891236&btnI=1&hl=nl
Forming Teams of Learners Online in a User as Wizard Study with Openness, Conscientiousness, and cognitive Ability
Published in Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 2022
In this work, we present a User as Wizard study where 108 online crowd participants formed four teams of three teammates each from a pool of twelve dummy learner profiles. The profiles contained information about the learners’ Conscientiousness, Openness, and cognitive ability levels. These attributes were derived from a pre-study with a smaller sample of crowd participants (N=52) rating the relevance of the Big Five personality traits and cognitive ability in team formation for educational purposes.
Recommended citation: Vinella, F. L., Koppelaar, S., & Masthoff, J. (2022, July). Forming Teams of Learners Online in a User as Wizard Study with Openness, Conscientiousness, and cognitive Ability. In Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 283-292). https://dl.acm.org/doi/abs/10.1145/3511047.3537660
GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization
Published in Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 2022
The aim of the workshop is, for the first time, to bring together the two communities working on the two sides of Group Recommendations, with an overall goal to rethink group recommendation and shift paradigms from the current algorithm-centric to a user- and group-centric focus.
Recommended citation: Vinella, F. L., Delić, A., Barile, F., Lykourentzou, I., & Masthoff, J. (2022, July). GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization. In Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 280-282). https://dl-acm-org.proxy.library.uu.nl/doi/abs/10.1145/3511047.3536351
The Impact of Digital Nudging Techniques on the Formation of Self-Assembled Crowd Project Teams
Published in Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 2022
In a study involving 120 crowd participants, working on the scenario of a crowdsourced innovation project, we tested the effects of two choice architecture and nudging techniques. The first technique displayed explicit personalized diversity information in the form of the current team diversity score and diversity recommendations. The second technique used diversity priming, in the form of counter-stereotypes and all-inclusive multiculturalism.
Recommended citation: Vinella, F., Mosch, R., Lykourentzou, I., & Masthoff, J. (2022, July). The Impact of Digital Nudging Techniques on the Formation of Self-Assembled Crowd Project Teams. In Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 265-275). https://dl-acm-org.proxy.library.uu.nl/doi/abs/10.1145/3503252.3531298
Self-organizing teams in online work settings
Published in Collective Intelligence, 2022
In this paper, we propose a new approach, namely Self-Organizing Pairs (SOPs), which incorporates self organization in algorithmic collaboration management, by facilitating workers to self-organize into effective pairs while being supported—but not guided—by an algorithm. We compared SOPs with two baselines that do not allow user agency, on a creative task of fictional story writing. Our findings indicate that the SOPs approach leads to creative outputs of higher quality and to higher collaboration satisfaction. Our results have scientific, applied, and societal implications.
Recommended citation: Lykourentzou, I., Vinella, F. L., Ahmed, F., Papastathis, C., Papangelis, K., Khan, V. J., & Masthoff, J. (2022). Self-organization in online collaborative work settings. Collective Intelligence, 1(1), 26339137221078005. https://journals.sagepub.com/doi/pdf/10.1177/26339137221078005
talks
Pluim award for Information Technology
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The Pluim Awards is an annual event where students can vote for their favourite or most inspiring teacher. In 2022 I received the award for outstanding teacher in the Undergraduate course Information Technology.
GMAP Workshop organization
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Robot Workshop U-TALENT
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teaching
Computational Thinking with Python
Undergraduate (BSc) course, Utrecht University, School of Information and Computer Science, 2020
In this course we follow the description of computational thinking by Denning and Tedre (2019): Computational thinking is the mental skills and practices for (1) designing computations that get computers to do jobs for us, and (2) explaining and interpreting the world as a complex of information processes. That is why we have also added two (related) lines in this box:
Programming with Data
Undergraduate (BSc) course, Utrecht University, School of Information and Computer Science, 2020
This course in the pre-master ADS is an introduction to computational thinking about data-related problems and the implementation of data analysis programs with Python. It starts at the very basics and is explicitly intended for students who have no or only little programming experience.
Adaptive Interactive Systems
Graduate (MSc) course, Utrecht University, School of Information and Computer Science, 2020
This course is about the design and evaluation of interactive systems that automatically adapt to users and their context. It discusses the layered design and evaluation of such systems. It shows how to build models of users, groups and context, and which characteristics may be useful to model (including for example preferences, ability, personality, affect, inter-personal relationships). It shows how adaptation algorithms can be inspired by user studies. It covers standard recommender system techniques such as content-based and collaborative filtering, as well as research topics such as person-to-person recommendation, task-to-person recommendation, and group recommendation. It also discusses explanations for adaptive interactive systems and usability issues (such as transparency, scrutability, trust, effectiveness, efficiency, satisfaction, diversity, serendipity, privacy and ethics). The course content is presented in the context of various application domains, such as personalized behaviour change interventions, personalized news, and personalized e-commerce.
Information Technology
Undergraduate (BSc) course, Utrecht University, School of Information and Computer Science, 2021
One of the basic components of computer systems is the interaction between human users and the systems. Good interaction does not only provide enjoyable experiences but also increase productivity and efficiency. A field that focuses on developing computer interactions is called Human-Computer Interaction (HCI). This course is part of HCI, yet emphasizing on the technological aspects rather than the human aspects. The course focuses on different types of interaction technology such as embedded technology, Internet of Things (IoT) and gesture based interaction. The practical assignments involve programming in the Arduino C/C++ language.
Information Technology Innovation
Graduate (MSc) course, Utrecht University, School of Information and Computer Science, 2022
The Interaction technology innovation course is a practice-oriented learning experience in which student apply methods of Human-Computer Interaction in designing an interactive system. It immerses students in a user-centered design process where they conduct user research, prototype solutions, evaluate systems and consider their designs’ ethical implications. The curriculum covers advanced design methodologies and knowledge about interaction paradigms. Practical skills in developing prototypes for tangible and embedded interaction are developed.
Final Thesis Information Science Undergradute Degree
Undergraduate (BSc) project, Utrecht University, School of Information and Computer Science, 2023
Supervision of personal projects for the completion of the Bachelor studies in Information Science at Utrecht University. Examples of supervised projects: