Cognitive Impromptu Interaction Assistant for Spontaneous Collaboration
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Solution Overview
Problem
In conventional corporate communication environments, employees often miss opportunities for impromptu interactions due to unawareness of common work interests, even when they are physically close, leading to inefficiencies in addressing shared tasks without formal scheduling.
Innovation Solution
A method that collects location data from user devices, identifies converging users with common work interests, predicts the topic of potential interactions, and sends notifications with relevant resources, enabling spontaneous discussions without the need for scheduled meetings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If employees rely on formal scheduling for meetings, then administrative work is reduced, but opportunities for impromptu interactions are lost
Solution Approach 1:
The system performs preliminary actions by collecting location data and analyzing work interests before the impromptu interaction occurs. It identifies potential interaction candidates in advance and prepares notification messages with relevant resources, enabling employees to engage in productive impromptu discussions without formal scheduling
Solution Approach 2:
The system implements feedback by continuously monitoring location data and sending notifications to employees about potential impromptu interactions. This real-time feedback loop allows employees to adjust their behavior and engage in productive interactions they would otherwise miss, bridging the gap between formal scheduling and spontaneous discussion
2Ease of operation
If employees walk by each other in the workspace, then physical proximity is achieved, but awareness of common work interests is lost
Solution Approach 1:
The system acts as an intermediary by analyzing work interest data and matching employees with common interests. It processes location information and work interest profiles to identify compatible interaction candidates, then delivers this information through notifications, serving as a mediator that connects physically proximate employees with shared work interests
Solution Approach 2:
The system replaces the mechanical approach of employees manually remembering or knowing colleagues' work interests with an automated information processing system. It uses computational analysis of work interest data and location tracking to identify interaction opportunities, substituting human cognitive effort with automated information retrieval and matching
3Adaptability or versatility
If employees prepare for impromptu discussions without notification, then spontaneity is maintained, but relevant resources are not available
Solution Approach 1:
The system performs preliminary actions by preparing and delivering notification messages that include links to relevant resources before the impromptu interaction occurs. This allows employees to maintain spontaneity while having access to necessary work files and information, as resources are pre-identified and made available through the notification
Data Source
AI summary
Methods, computer program products, and systems are presented. The methods include, for instance: collecting location data of users and identifying candidates for an impromptu interaction amongst the users based on converging locations of the candidates. A topic of the impromptu interaction is determined by common work interests amongst the candidates. Notification of the impromptu interaction is sent to the candidates to inform the topic and the other candidate, also with resources relevant to the topic.