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Naim Zierau
Title
Dr.
Last Name
Zierau
First name
Naim
Email
naim.zierau@unisg.ch
Phone
+41 71 224 3237
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1 - 3 of 3
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PublicationDesigning Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations(Association for Computing Machinery, 2022-11-11)
;Käser, Tanja ;Koedinger, Kenneth R.Conversational agents (CAs) provide opportunities for improving the interaction in evaluation surveys. To investigate if and how a user-centered conversational evaluation tool impacts users' response quality and their experience, we build EVA - a novel conversational course evaluation tool for educational scenarios. In a field experiment with 128 students, we compared EVA against a static web survey. Our results confirm prior findings from literature about the positive effect of conversational evaluation tools in the domain of education. Second, we then investigate the differences between a voice-based and text-based conversational human-computer interaction of EVA in the same experimental set-up. Against our prior expectation, the students of the voice-based interaction answered with higher information quality but with lower quantity of information compared to the text-based modality. Our findings indicate that using a conversational CA (voice and text-based) results in a higher response quality and user experience compared to a static web survey interface.Type: journal articleJournal: Proceedings of the ACM on Human-Computer Interaction (PACMHCI)Volume: 6Issue: CSCW2DOI: 10.1145/3555619Scopus© Citations 3 -
PublicationType: conference paper
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PublicationTrust in Smart Personal Assistants: A Systematic Literature Review and Development of a Research Agenda( 2020-03-09)
;Engel, ChristianSmart Personal Assistants (SPA) fundamentally influence the way individuals perform tasks, use services and interact with organizations. They thus bear an immense economic and societal potential. However, a lack of trust - rooted in perceptions of uncertainty and risk - when interacting with intelligent computer agents can inhibit their adoption. In this paper, we conduct a systematic literature review to investigate the state of knowledge on trust in SPAs. Based on a concept-centric analysis of 50 papers, we derive three distinct research perspectives that constitute this nascent field: user interface-driven, interaction-driven, and explanation-driven trust in SPAs. Building on the results of our analysis, we develop a research agenda to spark and guide future research surrounding trust in SPAs. Ultimately, this paper intends to contribute to the body of knowledge of trust in artificial intelligence-based systems, specifically SPAs. It does so by proposing a novel framework mapping out their relationship.Type: conference paperJournal: International Conference on Wirtschaftsinformatik (WI)