International Business Machines Corporation

Lars M Jenzer

Craig M Trim

Aaron K Baughman

Christian Eggenberger

Christian Eggenberger-Wang

In an embodiment of the present invention, background data of a first user in a group of one or more users is received. Environmental data associated with a first route is received from a first group of one or more sensors. Environmental data associated with a second route is received from a second group of one or more sensors. It is determined whether to modify the first route into the second route based on the background data and the environmental data associated with the first route and the environmental data associated with the second route, and the determination occurs while the group of one or more users is traversing the first route.

Dynamic route guidance based on real-time data

In an embodiment of the present invention, background data of a first user in a group of one or more users is received. Physiometric data of the first user while the group of one or more users is traversing a first route is received from a first group of one or more sensors. Environmental data associated with the first route is received from a second group of one or more sensors. Environmental data associated with a second route is received from the second group of one or more sensors. It is determined whether to modify the first route into the second route based on the background data, the physiometric data, and the environmental data associated with the first route and the environmental data associated with the second route, and the determination occurs while the group of one or more users is traversing the first route.

Methods, computer program products, and systems are presented. The methods include, for instance: providing a cognitive guide service to a group of participants for an excursion with an initial route planned by participants registration information and environment information along the initial route. During the excursion, real time sensory data on the participants and change in environment are collected by a cognitive agent accompanying the group to lead the excursion are relayed to a cognitive guide engine, and real time multi-objective optimization is modeled and performed. The participants are regrouped responsive to objectives of the excursion as represented by respective levels of interest in certain stage of the excursion as well as circumstances of the environment. Respective subgroups are formed from the participants per respective objectives, and respective new routes are selected from a set of optimal solutions for each subgroup. During the excursion, the cognitive guide engine iteratively optimizes routes responsive to incoming real time sensory data and objectives of the excursion.

Cognitive guide system for multi-objective excursion

Methods, computer program products, and systems are presented. The methods include, for instance: providing a cognitive tour guide service to a group of participants for a tour with an initial route planned by participants registration information and environment information along the initial route. During the tour, real time sensory data on the participants health characteristics, change in environment are collected by a cognitive agent accompanying the group to lead the tour are relayed to a cognitive tour guide engine, and real time multi-objective optimization is modeled and performed. The participants are regrouped responsive to their respective enjoyment and circumstances of the environment and, among a set of optimal solutions, a new route for the tour is selected based on participant preference modeled and trained by participant feedback. During the tour, the cognitive tour guide engine continuously optimizes route responsive to incoming real time sensory data.

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Zurich, Switzerland

Lars M Jenzer