Logo des Repositoriums

Auflistung nach Schlagwort "Human computer interaction"

1 - 3 von 3
  • Zeitschriftenartikel
    Beware of Performance Indicators
    (Business & Information Systems Engineering: Vol. 57, No. 6, 2015) Kranz, Tobias T.; Teschner, Florian; Weinhardt, Christof
    Online trading interfaces are important instruments for retail investors. For sound reasons, regulators obligate online brokers to inform customers about certain trade related risks. Research has shown that different behavioral biases can decrease traders’ performance and hence lead to pecuniary losses. The disposition to hold losing stocks too long and sell winning stocks too early (‘disposition effect’) is such a deviation from rational behavior. The disposition effect is analyzed for the prediction market ‘Kurspiloten’ which predicts selected stock prices and counts nearly 2000 active traders and more than 200,000 orders. We show that the disposition effect can be aggravated by visual feedback on a trader’s performance via colored trend direction arrows and percentages. However, we find no evidence that such an interface modification leads to higher activity. Furthermore, we can not confirm that creating awareness of the disposition effect with textual information is suited to decreasing its strength.
  • Konferenzbeitrag
    The effect of anthropomorphic design on the perceived trustworthiness of AI-based assistance systems
    (Mensch und Computer 2024 - Workshopband, 2024) Reuter, Muriel
    Artificial intelligence (AI) has become an omnipresent part of everyday life and increasingly also of the world of work. The design of human-AI interaction plays a crucial role in this context. This project aims to analyze the effect of anthropomorphic design elements on perceived trustworthiness. Positive and negative consequences are to be investigated in a mixed-methods approach in realistic laboratory settings. The aim is to develop guidelines for the design of anthropomorphic AI systems in a work context.
  • Zeitschriftenartikel
    Virtual Assistance in Any Context
    (Business & Information Systems Engineering: Vol. 62, No. 3, 2020) Janssen, Antje; Passlick, Jens; Rodríguez Cardona, Davinia; Breitner, Michael H.
    Several domain-specific assistants in the form of chatbots have conquered many commercial and private areas. However, there is still a limited level of systematic knowledge of the distinctive characteristics of design elements for chatbots to facilitate development, adoption, implementation, and further research. To close this gap, the paper outlines a taxonomy of design elements for chatbots with 17 dimensions organized into the perspectives intelligence, interaction and context. The conceptually grounded design elements of the taxonomy are used to analyze 103 chatbots from 23 different application domains. Through a clustering-based approach, five chatbot archetypes that currently exist for domain-specific chatbots are identified. The developed taxonomy provides a structure to differentiate and categorize domain-specific chatbots according to archetypal qualities that guide practitioners when taking design decisions. Moreover, the taxonomy serves academics as a foundation for conducting further research on chatbot design while integrating scientific and practical knowledge.