Apostolou, KalliopiMilata, VaclavŠkola, FilipLiarokapis, FotisHu, RuizhenCharalambous, Panayiotis2024-04-302024-04-302024978-3-03868-237-01017-4656https://doi.org/10.2312/egs.20241023https://diglib.eg.org/handle/10.2312/egs20241023This study investigated how interactions with intelligent agents, embodied as augmented reality (AR) avatars displaying exclusionary behaviors, affect users' emotions. Six participants engaged using voice interaction in a knowledge acquisition scenario in an AR environment with two ChatGPT-driven agents. The gaze-aware avatars, simulating realistic body language, progressively demonstrated social exclusion behaviors. Although not statistically significant, our data suggest a post-interaction emotional shift, manifested by decreased positive and negative affect-aligning with previous studies on social exclusion. Qualitative feedback revealed that some users attributed the exclusionary behavior of avatars to system glitches, leading to their disengagement. Our findings highlight challenges and opportunities for embodied intelligent agents, underscoring their potential to shape user experiences within AR, and the broader extended reality (XR) landscape.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing → Empirical studies in collaborative and social computing; Applied computing → Psychology; Theory of computation → Models of learningHumancentered computing → Empirical studies in collaborative and social computingApplied computing → PsychologyTheory of computation → Models of learning10.2312/egs.202410234 pages