- Title
- Collective workload: human performance in competitive and collaborative tasks
- Creator
- Bennett, Murray
- Relation
- University of Newcastle Research Higher Degree Thesis
- Resource Type
- thesis
- Date
- 2023
- Description
- Research Doctorate - Doctor of Philosophy (PhD)
- Description
- Individuals combine to form groups in many domains to improve safety and quality, increase production, or reduce errors. The distinct benefit of group performance occurs through the additional resources provided by group members and the ability to divide labour amongst the group. However, completing tasks as a group requires additional work to allow the group to function, such as communication, predicting the needs of, or providing assistance to, group members. The trade-off between additional resources and teamwork can make evaluating group performance difficult, particularly in dynamic tasks. Furthermore, different group conditions, such as competition or collaboration, require different intra-group processes that may differentially affect group performance. The primary aim of this Thesis is to examine how competitive and collaborative group conditions affect task and cognitive performance in dynamic tasks. I address this aim by developing a series of novel group performance platforms and adapting quantitative and cognitive process models to examine the cognitive processes and behavioural strategies used within these dynamic group conditions. I design a competitive group performance platform using a "Dutch auction" task to examine the effects of competition on group performance. I present an iterative adaptation of Prospect theory to account for the behavioural trends observed within the competitive Dutch auction context. I then examine performance in competitive and collaborative groups using a dynamic multiplayer task "Team Spirit". I quantify and characterise efficient team performance on this task using workload capacity analysis. Finally, I adapt and implement a series of advanced behavioural pattern analyses to identify group strategies and their relationship with performance within these group conditions. This thesis presents novel methods, experimental platforms, and analysis techniques that provide new insight on the examination and measurement of group performance.
- Subject
- collaboration; competition; group performance; cognitive workload; decision-making
- Identifier
- http://hdl.handle.net/1959.13/1482725
- Identifier
- uon:51009
- Rights
- Copyright 2023 Murray Bennett
- Language
- eng
- Full Text
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Thesis | 30 MB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | ATTACHMENT02 | Abstract | 146 KB | Adobe Acrobat PDF | View Details Download |