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Author

  • Linnemann, Gesa (13)
  • Jucks, Regina (12)
  • Brummernhenrich, Benjamin (4)
  • Brummernhenrich, B. (1)
  • Regina, Jucks (1)
  • Thon, F. M. (1)
  • Zimmermann, M. (1)

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Vertrauen in Siri® und Co?! - Auswirkungen sprachlicher Anpassung auf die eingeschätzte Vertrauenswürdigkeit von Gesprochenen Dialogsystemen. Vortrag auf dem 50. Kongress der Deutschen Gesellschaft für Psychologie, Leipzig. (2016)
Linnemann, Gesa ; Jucks, Regina
Computer, wie redest du mit mir? – Höflichkeit in einem Gesprochenen Dialogsystem zu Studieninformationen - Vortrag auf der gemeinsamen Fachtagung der Fachgruppen Pädagogische Psychologie und Entwicklungspsychologie PAEPSY, 11.-14.Sept. 2017, Münster (2017)
Linnemann, Gesa ; Brummernhenrich, Benjamin ; Jucks, Regina
Trust the words: Insights into the role of language in trust building in a digitalized world (2016)
Jucks, Regina ; Linnemann, Gesa ; Thon, F. M. ; Zimmermann, M.
Student Evaluations of a (Rude) Spoken Dialogue System Insights from an experimental study. Advances in Human–Computer Interaction (2018)
Linnemann, Gesa ; Regina, Jucks ; Brummernhenrich, Benjamin
Communicating with spoken dialogue systems (SDS) such as Apple’s Siri® and Google’s Now is becoming more and more common. We report a study that manipulates an SDS’s word use with regard to politeness. In an experiment, 58 young adults evaluated the spoken messages of our self-developed SDS as it replied to typical questions posed by university freshmen. The answers were either formulated politely or rudely. Dependent measures were both holistic measures of how students perceived the SDS as well as detailed evaluations of each single answer. Results show that participants not only evaluated the content of rude answers as being less appropriate and less pleasant than the polite answers, but also evaluated the rude system as less accurate. Lack of politeness also impacted aspects of the perceived trustworthiness of the SDS. We conclude that users of SDS expect such systems to be polite, and we then discuss some practical implications for designing SDS.
A matter of politeness? On the role of face-threatening acts in online tutoring (2014)
Linnemann, Gesa ; Brummernhenrich, B. ; Jucks, Regina
‘Can I Trust the Spoken Dialogue System Because It Uses the Same Words as I Do?’—Influence of Lexically Aligned Spoken Dialogue Systems on Trustworthiness and User Satisfaction (2018)
Linnemann, Gesa ; Jucks, Regina
One of many ways in which spoken dialogue systems (SDS) are becoming more and more flexible is in their choice of words (e.g. alignment to the user’s vocabulary). We examined how users perceive such adaptive and non-adaptive SDS regarding trustworthiness and usability. In Experiment 1, 130 participants read out questions to an SDS that either made or did not make lexical alignment in its replies. They perceived higher cognitive demand when the SDS did not employ alignment. In Experiment 2, 135 participants listened to a conversation between a human and the same SDS in an online study. They judged the aligned SDS to have more integrity and to be more likeable. Implications for the design of SDS are discussed.
“Say it Again!? – The Role of Lexical Alignment for Assessing the Communication with a Spoken Dialogue System. Vortrag beim 26th Annual Meeting of the Society for Text & Discourse, Kassel. (2016)
Linnemann, Gesa ; Jucks, Regina
“As the question, so the answer?“ Exploring the Adaptive Mechanism of Communication: Insights from HCI. Vortrag beim 24th Annual Meeting of the Society for Text & Discourse, Chicago. (2014)
Linnemann, Gesa ; Jucks, Regina
Talking to a birdbrained computer or to an elaborated human – Differences in lexical alignment and their explanations. Poster präsentiert auf dem International Workshop on Language Production, Geneva. (2014)
Linnemann, Gesa ; Jucks, Regina
"Siri, bitte sei höflich!" - Zur Rolle von Höflichkeit bei Spoken Dialogue Systems. Vortrag auf dem 50. Kongress der Deutschen Gesellschaft für Psychologie, 2016 in Leipzig. (2016)
Brummernhenrich, Benjamin ; Linnemann, Gesa ; Jucks, Regina
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