Posts Tagged: JDM

judgment & decision making

Paper: Competitive mate choice

Hansjörg Neth, Simeon Schächtele, Sulav Duwal, Peter M. Todd

Competitive mate choice: How need for speed beats quests for quality and harmony

Abstract:  The choice of a mate is made complicated by the need to search for partners at the same time others are searching. What decision strategies will outcompete others in a population of searchers? We extend previous approaches using computer simulations to study mate search strategies by allowing direct competition between multiple strategies, evaluating success on multiple criteria. In a mixed social environment of searchers of different types, simple strategies can exploit more demanding strategies in unexpected ways. We find that simple strategies that only aim for speed can beat more selective strategies that aim to maximize the quality or harmony of mated pairs.

Paper: Feedback design for controlling a dynamic multitasking system


If an organism is confronted with the problem of behaving approximately rationally,
or adaptively, in a particular environment, the kinds of simplifications that are suitable
may depend not only on the characteristics—sensory, neural, and other—of the organism,
but equally on the nature of the environment.
H.A. Simon (1956), Rational choice and the structure of the environment, p. 130

[Copyright neth.de, 2008]:

Hans Neth, Sunny Khemlani, Wayne Gray (2008)

Feedback design for the control of a dynamic multitasking system: Dissociating outcome feedback from control feedback. Human Factors Journal, 2008.

Hansjörg Neth, Sangeet S. Khemlani, Wayne D. Gray

Feedback design for the control of a dynamic multitasking system: Dissociating outcome feedback from control feedback

Objective: We distinguish outcome feedback from control feedback to show that suboptimal performance in a dynamic multitasking system may be caused by limits inherent to the information provided rather than human resource limits.

Paper: Juggling multiple tasks in a synthetic task environment


Doing two things at once, like singing while you take a shower,
is not the same as instant messaging while writing a research report.
Don’t fool yourself into thinking you can multitask jobs that need your
full attention. You’re not really having a conversation while you write;
you’re shifting your attention back and forth between the two activities quickly.
You’re juggling. When you juggle tasks, your work suffers AND takes longer
— because switching tasks costs.
Gina Trapani, Work Smart, FastCompany.com

[Copyright neth.de, 2006]:

Hans Neth, Brittney Oppermann, Sunny Khemlani, Wayne Gray (2006)

Juggling multiple tasks: A rational analysis of multitasking in a synthetic task environment.

Paper presented at HFES 2006, San Francisco, CA, USA.

Hansjörg Neth, Sangeet S. Khemlani, Brittney Oppermann, Wayne D. Gray

Juggling multiple tasks: A rational analysis of multitasking in a synthetic task environment

Abstract:  Tardast (Shakeri 2003; Shakeri & Funk, in press) is a new and intriguing paradigm to investigate human multitasking behavior, complex system management, and supervisory control.  We present a replication and extension of the original Tardast study that assesses operators’ learning curve and explains gains in performance in terms of increased sensitivity to task parameters and a superior ability of better operators to prioritize tasks.  We then compare human performance profiles to various artificial software agents that provide benchmarks of optimal and baseline performance and illustrate the outcomes of simple heuristic strategies.  Whereas it is not surprising that human operators fail to achieve an ideal criterion of performance, we demonstrate that humans also fall short of a principally achievable standard.  Despite significant improvements with practice, Tardast operators exhibit stable sub-optimal performance in their time-to-task allocations.

Paper: Melioration dominates maximization

There is no reason to suppose that most human beings are
engaged in maximizing anything unless it be unhappiness,
and even this with incomplete success.
R.H. Coase (1980), The Firm, the Market, and the Law, p. 4

[Copyright neth.de, 2006]:

Hans Neth, Chris Sims, Wayne Gray (2006). Melioration dominates maximization: Stable suboptimal performance despite global feedback. Paper presented at CogSci 2006.

Hansjörg Neth, Chris R. Sims, Wayne D. Gray

Melioration dominates maximization: Stable suboptimal performance despite global feedback

Abstract:  Situations that present individuals with a conflict between local and global gains often evoke a behavioral pattern known as melioration — a preference for immediate rewards over higher long-term gains.  Using a variant of a binary forced- choice paradigm by Tunney & Shanks (2002), we explored the potential role of global feedback as a means to reduce this bias.