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Auflistung nach Schlagwort "conversational agent"

1 - 4 von 4
  • Konferenzbeitrag
    Ensuring a Robust Multimodal Conversational User Interface During Maintenance Work
    (Mensch und Computer 2021 - Tagungsband, 2021) Fleiner, Christian; Riedel, Till; Beigl, Michael; Ruoff, Marcel
    It has been shown that the provision of a conversational user interface proves beneficial in many domains. But, there are still many challenges when applied in production areas, e.g. as part of a virtual assistant to support workers in knowledge-intensive maintenance work. Regarding input modalities, touchscreens are failure-prone in wet environments and the quality of voice recognition is negatively affected by ambient noise. Augmenting a symmetric textand voice-based user interface with gestural input poses a good solution to provide both efficiency and a robust communication. This paper contributes to this research area by providing results on the application of appropriate head and one-hand gestures during maintenance work. We conducted an elicitation study with 20 participants and present a gesture set as its outcome. To facilitate the gesture development and integration for application designers, a classification model for head gestures and one for one-hand gestures were developed. Additionally, a proof-of-concept for operators’ acceptance regarding a multimodal conversational user interface with support of gestural input during maintenance work was demonstrated. It encompasses two usability testings with 18 participants in different realistic, but controlled settings: notebook repair (SUS: 82.1) and cutter head maintenance (SUS: 82.7).
  • Konferenzbeitrag
    (Non-)Interacting with conversational agents: perceptions and motivations of using chatbots and voice assistants
    (Mensch und Computer 2020 - Tagungsband, 2020) Weber, Philip; Ludwig, Thomas
    Conversational agents (CAs) such as Siri, Alexa, and Google Assistant are increasingly penetrating everyday life. From a Human¬–Computer Interaction (HCI) perspective, designing CAs that appropriately support the way they are used within daily life is still challenging. While initial design guide¬lines for human–AI interaction exist, we still know little about how users actually perceive CAs within their daily lives and what as¬pects motivate their usage of such tools. Within our research, we therefore conducted an interview study with 29 participants to uncover daily positive and negative experiences with CAs. By revealing how users currently perceive CAs, we identify quality criteria that could inform their future design. By evaluating these criteria with respect to existing research discourses about user experience (UX) guidelines for CAs, we contribute to the field by extending these guidelines from an end-user’s perspective.
  • Konferenzbeitrag
    Talk to your Cobot: faster and more efficient error-handling in a robotic system with a multi-modal Conversational Agent
    (Proceedings of Mensch und Computer 2024, 2024) Schwarz, David; Zarcone, Alessandra; Laquai, Florian
    Collaborative robot (cobot) systems are expected to be easy to operate. However, reacting to an error message may not be as intuitive as operating the cobot. This paper explores the integration of a multi-modal conversational agent (text, touch and voice) into a robotic system to improve the robot-user interaction during error handling. The conversational agent enables text- and voice-based interactions to improve user experience and efficiency. We evaluate a prototype in a user test with experts and novices in order to assess its effectiveness, usability, and impact on user-robot interaction and show that conversational agents can enhance collaboration between robots and users, particularly benefiting novices.
  • Konferenzbeitrag
    Time to Get Conversational: Assessment of the Potential of Conversational User Interfaces for Mobile Banking
    (Mensch und Computer 2021 - Tagungsband, 2021) Fahn, Vanessa; Riener, Andreas
    Conversational user interfaces have recently gained in popularity, for example in chatbot systems for customer service or as intelligent assistants on Smartphones or other IoT devices. However, conversational banking interfaces have also found their way into the mobile banking sector and allow banks to offer their customers a cost-effective and personalized solution to perform financial services via natural language. Conversational interfaces, in particular for mobile banking applications, are very sensitive to user acceptance and trust. Also, user experience and the perceived security influence their adoption significantly. To explore the influence of these dimensions we have implemented three prototypes for conversational banking and evaluated them in a user study with n=18 subjects concerning the factors mentioned above. Although the results suggest no significant differences between the prototypes, we can draw design implications for conversational interfaces for mobile banking from the collected quantitative and qualitative data.