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Titlebook: Companion Technology; A Paradigm Shift in Susanne Biundo,Andreas Wendemuth Book 2017 Springer International Publishing AG 2017 Companion S

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楼主: NK871
发表于 2025-3-28 16:28:57 | 显示全部楼层
Analysis of Articulated Motion for Social Signal Processing,yed over a variety of non-verbal channels, such as facial expressions, gestures, or spatio-temporal behavior. It remains a challenge to equip technical systems with human-like abilities to reliably and effortlessly detect and analyze such social signals. In this proposal, we focus our investigation
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Multimodal Affect Recognition in the Context of Human-Computer Interaction for ,-Systems,siological data such as biopotentials can convey valuable information which can be used to interpret the communication in a dedicated way. A Companion-System can use these modalities to perform an efficient human-computer interaction (HCI). To do so, the multiple sources need to be analyzed and comb
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LAST MINUTE: An Empirical Experiment in User-, Interaction and Its Evaluation,ign and data collection of the LMC are shortly introduced. On this basis, exemplifying results from semantic analyses of the dialogue transcripts as well as from qualitative analyses of the interview material are presented. These illustrate LMC’s potential for investigations from numerous research perspectives.
发表于 2025-3-29 11:34:58 | 显示全部楼层
1611-2482 odality, individuality, adaptability, availability, cooperat.Future technical systems will be companion systems, competent assistants that provide their functionality in a completely individualized way, adapting to a user’s capabilities, preferences, requirements, and current needs, and taking into
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Assistive and Adaptive Dialog Management,ugh individualized help and explanation. In this chapter we elucidate our dialog management approach, which provides user- and situation-adaptive dialogs, and our explanation management approach, which enables the system to provide assistance and clarification for the user during run-time.
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Book 2017alized, adaptive, flexible, and robust behavior for technical systems by means of cognitive processes, including perception, cognition, interaction, planning, and reasoning. The technological developments are complemented by empirical studies from psychological and neurobiological perspectives..
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