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Cross disciplinary overtures with interview data: Integrating digital practices and tools in the scholarly workflow.

, , , , , , , , , and . CLARIN Annual Conference, volume 172 of Linköping Electronic Conference Proceedings, page 126-136. Linköping University Electronic Press, (2019)

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Cross disciplinary overtures with interview data: Integrating digital practices and tools in the scholarly workflow., , , , , , , , , and . CLARIN Annual Conference, volume 172 of Linköping Electronic Conference Proceedings, page 126-136. Linköping University Electronic Press, (2019)Exploring audio-based stylistic variation in podcasts., , and . INTERSPEECH, page 2343-2347. ISCA, (2022)Multimodal Detection of Engagement in Groups of Children Using Rank Learning., , , , , and . HBU, volume 9997 of Lecture Notes in Computer Science, page 35-48. (2016)Nanogami: the microbiome expanded. speak your truth. listen to your gut., , , , and . UbiComp, page 295-300. ACM, (2018)Automatic Recognition of Spontaneous Emotions in Speech Using Acoustic and Lexical Features., and . MLMI, volume 5237 of Lecture Notes in Computer Science, page 161-172. Springer, (2008)Selecting the right robot: Influence of user attitude, robot sociability and embodiment on user preferences., and . RO-MAN, page 682-687. IEEE, (2015)Give the Body a Voice: Co-design with Profound Intellectual and Multiple Disabilities to Create Multisensory Wearables., , and . CHI Extended Abstracts, page 375:1-375:6. ACM, (2021)Affective multimodal mirror: sensing and eliciting laughter., , , , , , and . HCM@MM, page 31-40. ACM, (2007)Robot-Supported Information Search: Which Conversational Interaction Style do Children Prefer?, , and . HRI (Companion), page 466-470. ACM, (2023)A Dyadic Conversation Dataset on Moral Emotions., , , , , , and . FG, page 687-691. IEEE Computer Society, (2018)