Towards Identifying User-Centered Requirements for Smart In-House Mobility Services

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.

[1]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .

[2]  D. Cicchetti Guidelines, Criteria, and Rules of Thumb for Evaluating Normed and Standardized Assessment Instruments in Psychology. , 1994 .

[3]  Jacques Demongeot,et al.  A system for automatic measurement of circadian activity deviations in telemedicine , 2002, IEEE Transactions on Biomedical Engineering.

[4]  Y. Yules,et al.  Analyse der Beurteiler ü bereinstimmung f ü r kategoriale Daten mittels Cohens Kappa und alternativer Ma ß e Analyzing Interrater Agreement for Categorical Data Using Cohen ' s Kappa and Alternative Coeffi cients , 2007 .

[5]  M. Wirtz,et al.  [Analyzing interrater agreement for categorical data using Cohen's kappa and alternative coefficients]. , 2007, Die Rehabilitation.

[6]  Therese Peffer,et al.  How people use thermostats in homes: A review , 2011, Building and Environment.

[7]  Jong Hyuk Park,et al.  Robust one-time password authentication scheme using smart card for home network environment , 2011, Comput. Commun..

[8]  Mamun Bin Ibne Reaz,et al.  A Review of Smart Homes—Past, Present, and Future , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[9]  Georgios K. Ouzounis,et al.  Smart cities of the future , 2012, The European Physical Journal Special Topics.

[10]  Franco Zambonelli,et al.  Towards a general infrastructure for location-based smart mobility services , 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

[11]  Tianyi Ma,et al.  Personal Mobility Service System in Urban Areas: The IRMA Project , 2015, 2015 IEEE Symposium on Service-Oriented System Engineering.

[12]  Helmut Krcmar,et al.  Modularization of Digital Services for Urban Transportation , 2016, AMCIS.