Suppose your bus broke down and nobody came

Mirnig, Alexander G.; Gärtner, Magdalena; Füssl, Elisabeth; Ausserer, Karin; Meschtscherjakov, Alexander; Wallner, Vivien; Kubesch, Moritz; Tscheligi, Manfred

doi:10.1007/s00779-020-01454-8

Cited by 13 publications

(10 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…I had a seat, so I did not feel like it was on me to take action, so, I waited if someone else would come up with some clever idea." We found a similar effect in a concurrently conducted study with a focus on emergency management, where some participants had behaved in a very similar fashion Mirnig et al (2020a).…”

Section: Qualitative Resultssupporting

confidence: 67%

Mind the Seat Limit: On Capacity Management in Public Automated Shuttles

et al. 2021

Self Cite

View full text Add to dashboard Cite

With ever growing automation of public transport automated shuttles offer an attractive alternative in areas where traffic regulations limit the deployment of large buses (city centres) or where low degrees of utilization renders the manual vehicles operation non-economical (last mile). The low capacities of shuttles in combination with the human factor (driver or conductor) makes capacity management a greater challenge for the user. Capacity management describes the allocation of available seats in a vehicle, e.g., when buying a ticket. In this paper, we present the results of series of studies where capacity management in automated shuttles has been tested via instruments that are currently available in public transit (audio announcements, in-shuttle displays, booking apps). We found that measures during and after boarding are not sufficient and that capacity management in automated shuttle requires a more detailed planning of pre-boarding stages; when boarding automated shuttles as opposed to non-automated public buses the flexibility is reduced. The paper concludes with discussion and recommendations for an optimal capacity management d.

show abstract

Section: Qualitative Resultssupporting

confidence: 67%

Mind the Seat Limit: On Capacity Management in Public Automated Shuttles

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Communication with passengers may consist of responding to passenger requests as well as proactively contacting passengers to inform them of incidents (Kettwich and Dreßler, 2020;Mirnig et al, 2020). It may also be necessary to ask people in the vehicle for help, for example to provide first aid or to remove an object from the door frame to allow the door to close (Kettwich et al, 2021).…”

Section: Coordinationmentioning

confidence: 99%

Who Will Drive Automated Vehicles? - Usability Context Analysis and Design Guidelines for Future Control Centers for Automated Vehicle Traffic

Schwindt¹,

Heller²,

Theobald³

et al. 2023

Human Factors in Transportation

View full text Add to dashboard Cite

In order to create framework conditions for the introduction of highly or fully automated vehicles in Germany, the Federal Ministry of Transport and Digital Infrastructure has drafted a bill to amend the Road Traffic Act and the Compulsory Insurance Act. A key aspect of the bill on automated driving is the introduction of Technical Supervision. This serves as a fallback level and must be able to intervene from the Control Center if necessary. Since future Control Centers for automated vehicles will differ significantly from existing Control Centers in other contexts, an appropriate distribution of tasks between the Technical Supervision and the automated vehicle on the one hand, and between the personnel within the Control Center on the other hand, must first be found. Therefore, this paper describes the requirements for framework conditions, work contents and processes, the necessary tools and the qualification of the employees of future Control Centers, which were identified on the basis of an analysis of the context of use. Since an analysis of existing systems and the participation of actual Technical Supervisors is not possible due to not yet existing Control Centers for highly or fully automated vehicles, the analysis is based on a systematic literature review and an expert workshop.

show abstract

“…From what is shown in Table 2, it can be extracted that the benefits of using chatbots are diverse [67], [68], and transversal to health fields such as [23], [24], [31]- [33], and [66], customer service according to [25]- [30], [42], [46]- [51], [54]- [62], education according to [35]- [41], and trade in general according to [60]. From what is shown in Table 3, it can be extracted that the types of chatbots are called virtual assistants or agents, conversational, health, a chatbot with AI, natural language processing (NLP), and information management.…”

Section: Stimulates Communicationsmentioning

confidence: 99%

“…[42], [49], [64] Processes for personal assistance Personal assistance process through communication. [40], [47], [62]…”

Section: Bots Trainingmentioning

confidence: 99%

Productivity of incident management with conversational bots-a review

Iparraguirre-Villanueva,

Obregon-Palomino,

Pujay-Iglesias

et al. 2023

IJ-AI

View full text Add to dashboard Cite

<p>The use of conversational agents (bots) in information systems managed by company’s increases productivity in the development of activities focused on processes such as customer service, healthcare, and presentation. The present work is a systematic literature review that collects articles from 2019 to 2022 in the databases Scopus, Springer, Willey, Indexes-Csic, Taylor & Francis, Pubmed, and Ebsco Host. PRISMA methodology was used to systematize 47 relevant articles. As a result of the analysis, 2/19 very important benefits were obtained, which are: helping to obtain information and facilitating customer service; as for the types of conversational bots, a total of 9 types were found, of which conversational agents and chatbots with artificial intelligence (AI) are the most common; in the case of processes, 3/5 processes that optimize conversational bots were found, where the most prominent are: teaching process, health processes, and customer service processes. An architecture model for conversational bots in incident management is also proposed.</p>

show abstract

Suppose your bus broke down and nobody came

Cited by 13 publications

References 16 publications

Mind the Seat Limit: On Capacity Management in Public Automated Shuttles

Mind the Seat Limit: On Capacity Management in Public Automated Shuttles

Who Will Drive Automated Vehicles? - Usability Context Analysis and Design Guidelines for Future Control Centers for Automated Vehicle Traffic

Productivity of incident management with conversational bots-a review

Contact Info

Product

Resources

About