artificial intelligence teammates in a collaborative information seeking environment from the perspective of women engineers in the united states

Schenita Floyd

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https://hdl.handle.net/2142/110960 Copy

Description

Title

artificial intelligence teammates in a collaborative information seeking environment from the perspective of women engineers in the united states

Author(s)

Schenita Floyd

Issue Date

2021-09-20

Keyword(s)

Artificial Intelligence team collaboration tools collaborative information seeking women engineers Artificial Intelligence and work human-computer interaction and design human-machine teams

Abstract

Artificial Intelligence is a disrupter, an enhancer, and an integral part of the workplace. Many workplace technologies incorporate artificial intelligence, whether known, unknown or hidden from employees in the form of tools. Collaboration tools such as Microsoft Teams, Slack, and Trello have artificial intelligence features that operate as simple task bots assisting with information seeking. However, they have the potential to become an artificial general intelligence teammate bot in the future. The purpose of this study was to collect design requirements from women engineers on artificial intelligence teammates. A similar study was performed with research scientists that created a research agenda for research scientists and practitioners. The study results revealed design requirements from practitioners, including possible solutions to sociotechnical issues that could arise from AI teammates in the workplace. This research study fills the previous study gap by soliciting design requirements and probable impacts of AI teammates from practitioners, specifically women engineers. Women engineers are underrepresented in the field, and they could benefit from an artificial intelligence teammate with their design requirements. Additionally, this study contributes to the information science literature on collaborative information seeking, artificial intelligence design, and engineers' information seeking behaviors.

Series/Report Name or Number

• Data science
• Machine learning
• Human-computer interaction & design
• Artificial intelligence
• Computer-supported collaborative work

Type of Resource

Text

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http://hdl.handle.net/2142/110960

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