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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 60 1 The Terms of “You(s)”: How the Term of Address Used by Conversational Agents Influences User Evaluations in French and German Linguaculture ... Ollier, Joseph; Nißen, Marcia Katharina; von Wangenheim, Florian. - : ETH Zurich, 2022 BASE Show details 2 Requirements and Solution Approaches to Personality-Adaptive Conversational Agents in Mental Health Care Dominik Siemon; Rangina Ahmad; Henrik Harms; Triparna de Vreede In: Sustainability; Volume 14; Issue 7; Pages: 3832 (2022) BASE Show details 3 A Literature Survey of Recent Advances in Chatbots Guendalina Caldarini; Sardar Jaf; Kenneth McGarry In: Information; Volume 13; Issue 1; Pages: 41 (2022) BASE Show details 4 A Framework of Personality Cues for Conversational Agents ... Ahmad, Rangina; Siemon, Dominik; Gnewuch, Ulrich. - : Karlsruher Institut für Technologie (KIT), 2022 BASE Show details 5 A Framework of Personality Cues for Conversational Agents Ahmad, Rangina; Siemon, Dominik; Gnewuch, Ulrich; Robra-Bissantz, Susanne. - 2022 Abstract: Conversational agents (CAs)—software systems emulating conversations with humans through natural language—reshape our communication environment. As CAs have been widely used for applications requiring human-like interactions, a key goal in information systems (IS) research and practice is to be able to create CAs that exhibit a particular personality. However, existing research on CA personality is scattered across different fields and researchers and practitioners face difficulty in understanding the current state of the art on the design of CA personality. To address this gap, we systematically analyze existing studies and develop a framework on how to imbue CAs with personality cues and how to organize the underlying range of expressive variation regarding the Big Five personality traits. Our framework contributes to IS research by providing an overview of CA personality cues in verbal and non-verbal language and supports practitioners in designing CAs with a particular personality. Keyword: Artificial Intelligence-based Assistants; conversational agents; framework; language cues; personality URL: http://hdl.handle.net/10125/79861 https://doi.org/10.24251/HICSS.2022.524 BASE Hide details 6 A Framework of Personality Cues for Conversational Agents Ahmad, Rangina; Siemon, Dominik; Gnewuch, Ulrich. - 2022 BASE Show details 7 Same benefits, different communication patterns: Comparing Children's reading with a conversational agent vs. a human partner Xu, Y; Wang, D; Collins, P. - : eScholarship, University of California, 2021 BASE Show details 8 Machine Learning For Plausible Gesture Generation From Speech For Virtual Humans Ferstl, Ylva. - : Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021 BASE Show details 9 Learning with Conversational Agents Xu, Ying. - : eScholarship, University of California, 2020 BASE Show details 10 Unleashing the Potential of Conversational Agents for Course Evaluations: Empirical Insights from a Comparison with Web Surveys ... Wambsganss, Thiemo; Winkler, Rainer; Schmid, Pascale. - : Universität Kassel, 2020 BASE Show details 11 A Conversational Agent to Improve Response Quality in Course Evaluations ... Wambsganss, Thiemo; Winkler, Rainer; Söllner, Matthias. - : Universität Kassel, 2020 BASE Show details 12 A Conversational Agent to Improve Response Quality in Course Evaluations Wambsganss, Thiemo; Winkler, Rainer; Söllner, Matthias. - : Association for Computing Machinery, 2020. : New York, NY, 2020 BASE Show details 13 Unleashing the Potential of Conversational Agents for Course Evaluations: Empirical Insights from a Comparison with Web Surveys Wambsganss, Thiemo; Winkler, Rainer; Schmid, Pascale. - : Association for Information Systems, 2020 BASE Show details 14 TGRIS : Outil de simulation pour la gestion des émotions dans la formation à l'entretien des conseillers pédagogiques Marfisi-Schottman, Iza; Vinatier, Isabelle; Bevacqua, Elisabetta In: Actes de la conférence Environnements Informatiques pour l'Apprentissage Humain (EIAH) ; Environnements Informatiques pour l'Apprentissage Humain (EIAH19) ; https://hal.archives-ouvertes.fr/hal-02150986 ; Environnements Informatiques pour l'Apprentissage Humain (EIAH19), Jun 2019, Paris, France. pp.307-318 (2019) BASE Show details 15 Trust me, I'm a chatbot: How artificial intelligence in health care fails the Turing test Powell, J. - 2019 BASE Show details 16 Applying psychology of persuasion to conversational agents through reinforcement learning: An exploratory study Marco, Piastra; Di Massimo Francesca,; Catellani, Patrizia (orcid:0000-0002-7195-8967). - : CEUR-WS.org, 2019 BASE Show details 17 Emotion-Aware and Human-Like Autonomous Agents Asghar, Nabiha. - : University of Waterloo, 2019 BASE Show details 18 Assessing the robustness of conversational agens using paraphrases Guichard, Jonathan; Ruane, Elayne; Smith, Ross. - : IEEE Computer Society, 2019 BASE Show details 19 An Evaluation Of A Linguistically Motivated Conversational Software Agent Framework Panesar, Kulvinder. - : Universitat Politècnica de València, 2019 BASE Show details 20 The influence of conversational agent embodiment and conversational relevance on socially desirable responding Schuetzler, Ryan M.; Giboney, Justin Scott; Grimes, G. Mark... In: Information Systems and Quantitative Analysis Faculty Publications (2018) BASE Show details Page: 1 2 3

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