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Auflistung nach Autor:in "Kulms, Philipp"

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  • Konferenzbeitrag
    Interactive Human-Guided Optimization for Logistics Planning
    (Mensch und Computer 2015 – Proceedings, 2015) Mattar, Nikita; Kulms, Philipp; Kopp, Stefan
    Logistics planning is an important problem in industry, where goods have to be parceled appropriately to meet delivery dates or reduce shipping costs. This optimization problem is classically solved offline using standard algorithms and focused heuristics, e.g. bin packing or route planning. However, in practical work environments, constraints may change flexibly and it is often not clear what an optimal solution looks like. Further, logistics planning consists of multiple steps that often are handled by different human employees in different departments. In this paper we propose an interactive approach using human-guided optimization, where solution spaces can be interactively explored, manipulated, and constrained at runtime. Based on an analysis of the problem of multi-step logistics planning, we present a system that supports users in solving this optimization problem, and we report first evaluation results obtained in the first two iterations of a user-centered design process.
  • Konferenzbeitrag
    More human-likeness, more trust? The effect of anthropomorphism on self-reported and behavioral trust in continued and interdependent human-agent cooperation
    (Mensch und Computer 2019 - Tagungsband, 2019) Kulms, Philipp; Kopp, Stefan
    Computer agents are increasingly endowed with anthropomorphic characteristics and autonomous behavior to improve their capabilities for problem-solving and make interactions with humans more natural. This poses new challenges for human users who need to make trust-based decisions in dynamic and complex environments. It remains unclear if people trust agents like other humans and thus apply the same social rules to human-computer interaction (HCI), or rather, if interactions with computers are characterized by idiosyncratic attributions and responses. To this ongoing and crucial debate we contribute an experiment on the impact of anthropomorphic cues on trust and trust-related attributions in a cooperative human-agent setting, permitting the investigation of interdependent, continued, and coordinated decision-making toward a joint goal. Our results reveal an incongruence between self-reported and behavioral trust measures. First, the varying degree of agent anthropomorphism (computer vs. virtual vs. human agent) did not affect people's decision to behaviorally trust the agent by adopting task-specific advice. Behavioral trust was affected by advice quality only. Second, subjective ratings indicate that anthropomorphism did increase self-reported trust.
  • Konferenzbeitrag
    MultiPro: Prototyping Multimodal UI with Anthropomorphic Agents
    (Mensch und Computer 2018 - Tagungsband, 2018) Kulms, Philipp; van Welbergen, Herwin; Kopp, Stefan
    Modern user interfaces (UI) often provide natural and multimodal interaction, sometimes modelled in the form of a conversation with an anthropomorphic agent embedded in the system. Designing such interfac-es is a challenging task. Furthermore, it is often not clear which user scenarios will profit from a social, conversational interaction paradigm and how it could be integrated with classic paradigms like direct manipulation interfaces. Our multimodal prototyping framework MultiPro helps designers in rapidly designing UIs to explore these questions. It allows the easy prototyping and evaluation of UI using a mix of anthropomorphic (e.g., human-like appearance, speech) and classic graphical elements. We illustrate how designers can specify the look and interaction flow with MultiPro, how MultiPro supports user-based evaluation of the designs, and how MultiPro is used in HCI research applications.