Adaptive Emotional Support for Groups

Saccardi, Isabella

doi:10.1145/3503252.3534360

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…In both of the examples, group mood [4] and emotional contagion [3,29] can also be necessary factors to consider, as they can affect the group's productivity and the quality of their work, as well as the group's willingness to accept recommendations. As a result, emotional support for groups becomes a subject of growing interest in the field of GRSys [39]. With the advent of technology-based well-being interventions, providing emotional messages became a critical feature of dialogue systems [25].…”

Section: Introductionmentioning

confidence: 99%

GMAP 2023: 2nd Workshop on Group Modeling, Adaptation and Personalization

Barile

Delić

Peška

et al. 2023

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

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Although most existing recommender systems support single users, there are many scenarios where these systems target the needs of groups. Traits such as group mood, emotional contagion, and interpersonal relationships are often ill-defined characteristics, tend to mutate over time, and are usually missing from the systems' modeling, even though they play an indispensable part in group modeling. Furthermore, producing timely and accurate recommendations for groups that are explainable, fair, and privacy-protecting is a notoriously tricky challenge since group members may have divergent views and needs. The second GMAP workshop aims at bringing together a community of researchers focused on group modeling, adaptation, and personalization. The objective is to explore the challenges and opportunities of developing effective methods and tools to support group decision-making. The workshop, we brought together researchers from several disciplines, including Psychology, Computer Science, and Organizational Behavior, to discuss their latest research and ideas on this topic. It also provided opportunities for participants to share their research and experiences and to collaborate and network with other researchers in this field. The long-term goal is to foster a vibrant and inclusive community of researchers committed to advancing our understanding of group modeling, adaptation, and personalization by bringing together experts from different disciplines and perspectives. Throughout this workshop, we aim to identify critical challenges and opportunities in this area and develop a shared research agenda to guide future work.

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