Klaus Goffart

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

Towards Identifying Contextual Factors on Parking Lot Decisions

(\text{n} = 158)

Verfahren und Gerät zur Bereitstellung von Umgebungsinformationen für einen Fahrzeugführer

(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.

DESIGNING HEDONIC USER EXPERIENCES: THE EFFECT OF PSYCHOLOGICAL NEED FULFILMENT ON HEDONIC MOTIVATION

Gaining a better understanding of human–computer interaction in multiple-goal environments, such as driving, is critical as people increasingly use information technology to accomplish multiple tasks simultaneously. Extensive research shows that decision biases can be utilized as effective cues to guide user interaction in single-goal environments. This article is a first step toward understanding the effect of decision biases in multiple-goal environments. This study analyzed data from a field experiment during which a comparison was made between drivers’ decisions on parking lots in a single-goal environment and drivers’ decisions in a multiple-goal environment when being exposed to the default option bias. The article shows that the default option bias is effective in multiple-goal environments. The results have important implications for the design of human–computer interaction in multiple-goal environments.

Vorrichtung zum Bereitstellen eines Dringlichkeitsmaßes zur situativen Bereitstellung von Umgebungsinformationen an einen Fahrer eines Kraftfahrzeugs

The relevance of contextual factors that adapt in-car recommendations to the driver’s current situation is not yet fully understood. This paper presents a field study that has been conducted in order to identify relevant contextual factors of in-car parking lot recommender systems. Surprisingly, most contextual factors examined, i.e., weather, luggage, and traffic conditions, did not have a significant effect on the parking lot decision in the conducted field study. Only the urgency of the trip and the willingness to walk have significant effects on the decision outcome. Therefore, automobile manufacturers should focus on understanding the relevance of different contextual factors when developing user models for in-car recommender systems.

System und Verfahren zur Unterstützung des Fahrers eines Kraftfahrzeugs bei der Auswahl einer Tankstelle sowie Kraftfahrzeug

In smart cities we need innovative mobility solutions. 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. In our original journal publication [7] we presented 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. We reported three main findings, namely (1) the lack of availability of mobility-centered information is the most pressing pain point regarding mobility-centered information at home, (2) most participants report a growing need to access vehicle-centered information at home and a growing interest in using a variety of smart home features and (3) smart in-house mobility services should combine pragmatic (i.e., information-based qualities) and hedonic (i.e., stimulation- and pleasure-oriented) qualities. In the present paper, we now extend our previous work among an implementation and evaluation of our previously gained user insights into a smart mirror prototype. The quantitative evaluation again highlighted the importance of pragmatic and hedonic product qualities for smart in-house mobility services. Since these insights can help practitioners to develop user-centered mobility services for smart homes, our results will help to maximize customer value.