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Christian Alexander Hildebrand
Title
Prof. Dr.
Last Name
Hildebrand
First name
Christian Alexander
Email
christian.hildebrand@unisg.ch
Phone
071 224 7711
Homepage
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1 - 10 of 27
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PublicationMachine Talk: How Verbal Embodiment in Conversational AI Shapes Consumer-Brand Relationships(University of Chicago Press, 2023-03-02)
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PublicationMindMiner: Uncovering Linguistic Markers of Mind Perception as a New Lens to Understand Consumer-Smart Object Relationships( 2023-07-27)
;Jochen HartmannScopus© Citations 1 -
PublicationVoice bots on the frontline: Voice-based interfaces enhance flow-like consumer experiences & boost service outcomesVoice-based interfaces provide new opportunities for firms to interact with consumers along the customer journey. The current work demonstrates across four studies that voice-based (as opposed to text-based) interfaces promote more flow-like user experiences, resulting in more positively-valenced service experiences, and ultimately more favorable behavioral firm outcomes (i.e., contract renewal, conversion rates, and consumer sentiment). Moreover, we also provide evidence for two important boundary conditions that reduce such flow-like user experiences in voice-based interfaces (i.e., semantic disfluency and the amount of conversational turns). The findings of this research highlight how fundamental theories of human communication can be harnessed to create more experiential service experiences with positive downstream consequences for consumers and firms. These findings have important practical implications for firms that aim at leveraging the potential of voice-based interfaces to improve consumers' service experiences and the theory-driven ''conversational design'' of voice-based interfaces.Type: journal articleJournal: Journal of the Academy of Marketing Science (JAMS)Volume: 51Issue: 4
Scopus© Citations 6 -
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PublicationDeepMind: A Deep Learning Approach to Mind Perception and Smart Object Relationships.
;Hartmann, JochenType: conference paper -
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Publication“Love the Shape, But Hate the Weight”: Using Aspect-Based Sentiment Analysis to Identify Product Innovation Opportunities( 2022-05-27)Aspect-based sentiment analysis provides a more fine-grained view of sentiment in comparison to classical sentiment analysis approaches, by obtaining the sentiment of different aspects or features of a product. In this paper, we show how it can be used to assess consumer perceptions of different product features and, thus, define opportunities for innovation.Type: conference paper
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PublicationDeepMind: A Deep Learning Approach to Mind Perception & Smart Object Relationships( 2021)
;Hartmann, J.Type: conference paper
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