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Künstliche Intelligenz 31(3) - August 2017

https://dl.gi.de/handle/20.500.12116/11028
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Auflistung Künstliche Intelligenz 31(3) - August 2017 nach Autor:in "Goffart, Klaus"

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  • Zeitschriftenartikel
    Towards Identifying User-Centered Requirements for Smart In-House Mobility Services
    (KI - Künstliche Intelligenz: Vol. 31, No. 3, 2017) Rocznik, Dorothee; Goffart, Klaus; Wiesche, Manuel; Krcmar, Helmut
    Smart environments change our daily life and our daily mobility. Especially in growing smart cities we need innovative solutions of smart multi-modal transport services for travelers. In the near future, most travelers will start their multi-modal journey through a seamlessly connected smart city with intelligent mobility services at home. Nevertheless, there is a lack of well-founded requirements for smart in-house mobility services. Therefore, this paper presents a first step towards a better understanding of the situation in which travelers use digital services at home in order to inform themselves about their mobility options. As an initial step, we used an online survey to question participants $$(\text{n} = 158)$$(n=158) about their current mobility-centered needs at home. This includes five main aspects, namely (1) the pain points and the stress level regarding mobility-centered information search at home, (2) the time and type of mobility-centered information search at home, (3) the interest in vehicle-centered information at home, (4) the current and future use of different smart home features and (5) additional non-mobility needs that are also relevant in this situation for the user. Interestingly, a lack of availability of mobility-centered information was identified as the most pressing pain point regarding mobility-centered information at home. Additionally, most participants reported a growing need to access vehicle-centered information at home and a growing interest in using a variety of smart home features. Since these insights can help practitioners to develop user-centered mobility services for smart homes, our results will help to maximize customer value.