Potential Impact Of Intelligent Personal Assistants

Part 1 – Research on Technology and Industry
Short Description of Technology and Industry:

Intelligent Personal Assistants
In this study, the considered technology is intelligent personal assistants and the industry assumed is public transport. The intelligent personal assistants are the devices or applications that help to assist the transport industries and travel agencies. The recent development in the mobile communication had paved way for the telecommunication field to enhance the travel information system, which gives information about the new places and assist the resources in locating particular locations (David Pogue). These locations are very important for destinations such that the travellers used to adopt the maps for the journey. This intelligent personal assistant enables the travellers to reach to the destination and gives more insights about the distance, routes, and all other details (Brad Miser).
The technology relies on the industries such that the technology specified deals with the personal assistants that operates in the transport field, helps to make movement of the vehicles with intelligence. These personal assistants benefit drivers as they help to guide them with the routes and destinations. With these intelligent personal assistants, the road traffic, and accidents are greatly reduced with no issues for individuals travelling from a source location to the destination (Anusuya M.A, Katti S.K 2009). Automation with robotics play key role in the intelligent personal assistants (S M Veres, 2008)

Public Transport
In this industry, the transport involves the movement of an individual from a place to other place. Public transport operates in various locations that help the people to travel from one location to other location. However, the movement from a place to other destination exists through the public transports. These public transports may include the call taxi, bus, and any other means of transport operating in public. The intelligent personal assistants in the public transport are increased in the applications and they have improved the usage of transports guaranteeing the safe journey for the individuals who use this kind of the public transport (Shinya Iizuka et al., 2012).

The intelligent personal assistants improved the efficiency of the transport industry. The devices had driven their levels as the best and resulted to enhance the transports and driver experienced the best times in terms of comfort. The advantages of the intelligent personal assistant include the follows: provision of comfort to the individual driving the vehicle, control the unnecessary traffic, restricts the unfortunate accidents, and all other supports regarding the movement to the destination. In addition to this, the personal assistant helps to improve the efficiency of the drivers in transport system. The personal assistant has various features of providing the navigation of routes in maps, scheduler, and all other features to improve the comfort of the passengers. Most of personal assistants are occupied in the smart phone applications (Sirius, 2018). These applications serve as the personal assistants for the individuals in public transport system.
Part 2 – Impacts of Technology in Industry
Technological influences the industry
  • The considered technology “Intelligent Personal Assistants” operates with the internet connectivity only with the use of the information. Without internet connectivity, the devices will lead to various problems. This is a limitation in the intelligent personal assistants. It will make lives easier but harder in the absence of the internet connectivity.
  • The technology will have further impacts with other industries too in the absence of the internet connections
  • Applications may have less accuracy and can lead to wrong destinations or long routes instead of shorter routes
  • Most of the personal assistants rely on the information for their operations and this acts as drawback if the data is misinterpreted
  • Manual input is required for accessing the intelligent personal assistants
Part 3 – Constraints

Factors or constraints that make impact possible
Factors or constraints, which make impact possible as follows:
  • Markets – In the use of the personal assistant, internet is needed which regulate the price needed for access to the internet and information. If the application works offline, the internet connection is not required
  • Nature – In the use of the personal assistant, manual access must be reduced with automations
Part 4 – Process Model As-Is & To-Be

Process in the industry to change impact
Communication processes are included in the industry to change impact, which needs change in the impacts. The impacts of the intelligent personal assistants involve the follows:

Events
The events are involving the accessing of the personal assistants in the public transportation. The events for the personal assistants involve manual tasks.

Activities or Tasks
The tasks for operating the personal assistants are not automated and rely on the internet usage. These tasks require few automations and offline accessibility.

Decision Points
The decision points include the operation and accessibility. The operation and accessibility nature must be changed in order to improve the usability of the personal assistants in the public transportation (Vishnupriya R., Devi T., 2014).

Actors
The actors involved are the users, customers, and all individuals utilizing the personal assistants in the transport system

Outcomes
The normal system in the personal assistants within the transport system consists of the process as follows.


 

Process for Personal Assistance before – As Is Model
  • Users – The users are the individuals or customers who are using the personal assistants in the transport system.
  • Accessing Application/Device – The users access the application or device through either the phone or input systems with the use of the online internet connections
  • Manual Input – The users provide the manual input by typing or giving any other input systems that lack the automated inputs
  • Personal Assistance – The personal assistance for the customers can be provided as per the input through the control features
  • Outcome/Response – The outcome or response is the personal assistance to the customers that can be enhanced through the use of the display or screen
After the analysis of the transport system, the features can be enhanced by changing the outcome as follows:

 

Process for Personal Assistance After – To Be model
  • Users – The users are the individuals or customers who are using the personal assistants in the transport system.
  • Accessing Application/Device – The users access the application or device through either the phone or input systems with the use of the offline data connections
  • Automated Input – The system must recognise the automated input without typing or giving any other input systems
  • Personal Assistance – The personal assistance for the customers can be provided as per the input through the control features
  • Outcome/Response – The outcome or response is the personal assistance to the customers that can be displayed through the use of the display or screen
References
Anusuya M.A, Katti S.K., 2009, “Speech Recognition by Machine: A Review”, International Journal of Computer Science and Information Security, Vol. 6, No. 3.
Brad Miser, ―Using IPhone‘s Siri Voice Command, pp. 5
David Pogue, ―IPhone: The Missing Manual 5th Edition, O‘Reilly Media, pp.104
Michael Castelluccio, ―Siri‘s Competition, Technology Workbook, pp.55-56, 2015
S M Veres. Natural Language Programming of Agents and Robotic Devices. SysBrain, ISBN 978-0-95584417-0-5, London, June 2008.
Shinya Iizuka et al., “Speech recognition and technology and applications for improving terminal functionality and service utility”, 2012, NTT DOCOMO Technical Journal, Vol.13, No.4
Sirius: An Open End-to-End Voice and Vision Personal Assistant. http://sirius.clarity-lab.org.
Vishnupriya R., Devi T., 2014, “Speech Recognition Tools for Mobile Phone – A Comparative Study”, International Conference on Intelligent Computing Applications (ICICA), archived in IEEE Digital xplore, pp. 426 – 430.
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