Publications

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

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

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

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

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

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/

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

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

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

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

Federica Lucia Vinella

Publications