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GITA 2002


Mobile - Taking it to the street


Speech recognition and mobile field solutions


Field Professionals Go Mobile
Mobile computing has become a major growth market in the last year, as the price-performance point of hardware has reached a level acceptable to mainstream corporate users. Within many of these corporate users, transferring data to and from the field is one of the largest challenges. Many telecommunications and utilities have invested in expensive laptop based solution with wireless data connectivity to allow near real time communications to keep the enterprise current. At a cost of $10,000 per fully equipped field technician, many millions of dollars are spent to enhance field access to data. Improving customer service with fewer full time equivalents (FTEs) is the goal. Hardware alternatives to the rugged laptop and pen-based computer have arrived on the market such as WAP enabled cell phones, CE and Palm Personal Digital Assistants (PDAs) and, more recently, wearable computers that are lightweight, with innovative screen options.

The smaller, lower cost PDAs are reducing the cost of ownership but with challenges for the field. The awkwardness of trying to enter data while driving, walking, being bounced around and looking at a screen that washes out in the sunlight has frustrated many field professionals. The safety aspect of mobile computers and the need to carry devices in your hand while navigating a difficult path has caused many to wait. The resistance to technology by field professionals is a common excuse given for not investing field automation.

The reality is that managers still need reliable information and often that information must come from observations in the field. Whether it is the management of assets, in-situ data for a design project, construction reports, asset inventories or condition assessments, managers depend on the field professional’s ability to collect accurate, dependable, and thorough information. In large measure, effectiveness can be directly tied to how efficiently it controls and manages its assets for the customer or public's well being.

In the past, field professionals would go into the field, gather important data, write down the critical information, and enter it into the computer back at the office. Before leaving the field, the field professional must be certain that they have everything they need and must be able to find and understand their notes when they get back to the office. The ability to take neat, thorough and organized notes becomes critical. In addition, many field technicians possess a cell phone. Calls into dispatch centers and central offices are frequently made to get that piece of information from a person to complete the job or to report results. This adds costs to operations that must be absorbed as part of the cost of doing business in today’s economy.



Field professionals doing the data entry are so consumed with just trying to get the information documented that critical information is missed requiring revisits to the site. Notes are poorly written, or incomplete, or photos cannot be referenced to the written note. In some cases, the information missed cannot be recovered – such phone service installed or gas line repaired. Going back to the field is time consuming, expensive, and frustrating. What is really needed is a faster and easier way to collect the data and enter it into a database, and then cross-reference and tag all information, locations, and measurements. That would leave the field professional free to inspect; free to make assessments; free to study the situation, notice the unusual and think without being distracted by note taking or struggling with a interface that is intrusive and distracting. Orders need to be completed faster, with fewer live interactions with the central office.

In data-intensive computing environments, organizations are desperately seeking data collection solutions that reduce the financial and operational drag on their enterprises. The complexities of large-scale data collection, the need for ongoing data input and the integration of media types make it vital to develop innovative ways to input data quickly, efficiently and accurately.

Advances in mobile computing and integrated devices such as cell phone with CE, Palm, and enhanced displays has provided the ‘state of the art’ for field data collection – the “mobile messenger”, whether it is a laptop, pen based computer or cell phone. Mobility is key, and taking the computer into the field was thought to be the answer. Many organizations have implemented wide scale mobile computing solutions but have not seen the effective gains they are seeking, and so the search continues.

As computers continue to become smaller, the major obstacle to mobile computers is input/output. Keyboards, pen interfaces, and icon driven systems require relatively large input/output devices. For this reason, mobile computers remain a niche industry. Walking and driving while trying to type or pen enter field information is difficult at best and error prone, not to mention dangerous. These devices, in addition to being awkward, are hard to see in the sunlight. This is the interim step and not the solution needed for field data collection. Simply throwing mobile computers into the field has not offered. But, what if data input and output were as simple as speaking to your computer? Or, what if the computer could be eliminated by using a cell phone where short transactions could be performed reducing the costs of ownership of mobile field solutions.



Field professionals that normally write information down and enter it later, or use a pen based collection tool would benefit from some assistance. The answer is what we do everyday to communicate, speak. Speech technology enables field professionals to see & say, they simply speak to their computer, directly or over a cell phone, just like they have been speaking to each other for years! The concept is simple: use speech-to-data technology to speed data input, increase efficiency, improve accuracy and reduce the overall cost of data collection.

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