@inproceedings{55152,
  author       = {{Robrecht, Amelie and Rothgänger, Markus and Kopp, Stefan}},
  booktitle    = {{Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents}},
  publisher    = {{ACM}},
  title        = {{{A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations}}},
  doi          = {{10.1145/3570945.3607339}},
  year         = {{2023}},
}

@inproceedings{51367,
  author       = {{Robrecht, Amelie and Kopp, Stefan}},
  booktitle    = {{Proceedings of the 15th International Conference on Agents and Artificial Intelligence}},
  isbn         = {{978-989-758-623-1}},
  location     = {{Lisbon}},
  pages        = {{48--58}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation}}},
  doi          = {{10.5220/0011671300003393}},
  year         = {{2023}},
}

@inproceedings{55156,
  author       = {{Fisher, Josephine Beryl and Robrecht, Amelie and Kopp, Stefan and Rohlfing, Katharina J.}},
  booktitle    = {{Proceedings of the 27th Workshop on the Semantics and Pragmatics of Dialogue }},
  location     = {{Maribor}},
  title        = {{{Exploring the Semantic Dialogue Patterns of Explanations – a Case Study of Game Explanations}}},
  year         = {{2023}},
}

@article{51344,
  abstract     = {{<jats:p>Modified action demonstration—dubbed <jats:italic>motionese—</jats:italic>has been proposed as a way to help children recognize the structure and meaning of actions. However, until now, it has been investigated only in young infants. This brief research report presents findings from a cross-sectional study of parental action demonstrations to three groups of 8–11, 12–23, and 24–30-month-old children that applied seven motionese parameters; a second study investigated the youngest group of participants longitudinally to corroborate the cross-sectional results. Results of both studies suggested that four motionese parameters (Motion Pauses, Pace, Velocity, Acceleration) seem to structure the action by organizing it in motion pauses. Whereas these parameters persist over different ages, three other parameters (Demonstration Length, Roundness, and Range) occur predominantly in the younger group and seem to serve to organize infants' attention on the basis of movement. Results are discussed in terms of facilitative vs. pedagogical learning.</jats:p>}},
  author       = {{Rohlfing, Katharina and Vollmer, Anna-Lisa and Fritsch, Jannik and Wrede, Britta}},
  issn         = {{2297-900X}},
  journal      = {{Frontiers in Communication}},
  keywords     = {{Social Sciences (miscellaneous), Communication}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{Which “motionese” parameters change with children's age? Disentangling attention-getting from action-structuring modifications}}},
  doi          = {{10.3389/fcomm.2022.922405}},
  volume       = {{7}},
  year         = {{2022}},
}

@article{51349,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Recent approaches to Explainable AI (XAI) promise to satisfy diverse user expectations by allowing them to steer the interaction in order to elicit content relevant to them. However, little is known about how and to what extent the explainee takes part actively in the process of explaining. To tackle this empirical gap, we exploratively examined naturally occurring everyday explanations in doctor–patient interactions (<jats:italic>N</jats:italic> = 11). Following the social design of XAI, we view explanations as emerging in interactions: first, we identified the verbal behavior of both the explainer and the explainee in the sequential context, which we could assign to phases that were either monological or dialogical; second, we investigated in particular who was responsible for the initiation of the different phases. Finally, we took a closer look at the global conversational structure of explanations by applying a context-sensitive model of organizational jobs, thus adding a third layer of analysis. Results show that in our small sample of conversational explanations, both monological and dialogical phases varied in their length, timing of occurrence (at the early or later stages of the interaction) and their initiation (by the explainer or the explainee). They alternated several times in the course of the interaction. However, we also found some patterns suggesting that all interactions started with a monological phase initiated by the explainer. Both conversational partners contributed to the core organizational job that constitutes an explanation. We interpret the results as an indication for naturally occurring everyday explanations in doctor–patient interactions to be co-constructed on three levels of linguistic description: (1) by switching back and forth between monological to dialogical phases that (2) can be initiated by both partners and (3) by the mutual accomplishment and thus responsibility for an explanation’s core job that is crucial for the success of the explanation. Because of the explorative nature of our study, these results need to be investigated (a) with a larger sample and (b) in other contexts. However, our results suggest that future designs of artificial explainable systems should design the explanatory dialogue in such a way that it includes monological and dialogical phases that can be initiated not only by the explainer but also by the explainee, as both contribute to the core job of explicating procedural, clausal, or conceptual relations in explanations.</jats:p>}},
  author       = {{Fisher, Josephine Beryl and Lohmer, Vivien and Kern, Friederike and Barthlen, Winfried and Gaus, Sebastian and Rohlfing, Katharina}},
  issn         = {{0933-1875}},
  journal      = {{KI - Künstliche Intelligenz}},
  keywords     = {{Artificial Intelligence}},
  number       = {{3-4}},
  pages        = {{317--326}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Exploring monological and dialogical phases in naturally occurring explanations}}},
  doi          = {{10.1007/s13218-022-00787-1}},
  volume       = {{36}},
  year         = {{2022}},
}