scholarly journals Estimating Designers’ Performance considering Personal Characteristics and External Factors Together

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Stefano Filippi
Keyword(s):  
Performance Evaluation ◽  
Team Performance ◽  
Personal Characteristics ◽  
External Factors ◽  
Design Team ◽  
Team Members

Design team performance evaluation can occur in different ways, all of them requiring considerations on interactions among team members; in turn, these considerations should count on as many pieces of information as possible about individuals. The literature already explains how personal characteristics and/or external factors influence designers' performance; nevertheless, a way to evaluate performance considering several personal characteristics and external factors together is missing. This research tries to fill the gap by developing the Designer’s Performance Estimator (DPE), a ready-to-use tool for researchers and practitioners who need to make information about team members as richer as possible.

Only As Strong As the Strongest Link: The Impact of Individual Team Member Proficiency in Configuration Design

2020 ◽  
Author(s):  
Ethan Brownell ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky
Keyword(s):  
Team Performance ◽  
Team Member ◽  
Positive Impact ◽  
Individual Characteristics ◽  
Configuration Design ◽  
Design Team ◽  
Markov Modeling ◽  
Team Members ◽  
Hidden Markov Modeling ◽  
The Impact

Abstract Prior research has demonstrated how the average characteristics of a team impact team performance. Individual characteristics of team members and individual team member behavior have been largely ignored, especially in the context of engineering design. In this work, a behavioral study was conducted to uncover whether the most or least proficient member of a configuration design team had a larger impact on overall performance. It was found that a configuration design team is most dependent on the proficiency of its most proficient member and results suggest that replacing the most proficient member with an even more proficient member can be expected to have a more positive impact than replacing any other member with a higher proficiency member of the same change in proficiency. The most proficient member had a significant positive effect on how quickly the team reached performance thresholds and that the other members of the team were not found to have the same positive impact throughout the design study. Behavioral heuristics were found using hidden Markov modeling to capture the differences in behavior and design strategy between different proficiency members. Results show that high proficiency and low proficiency team members exhibit different behavior, with the most proficient member’s behavior leading to topologically simpler designs and other members adopting their designs, leading to the most proficient member driving the team design and team performance.

ONLY AS STRONG AS THE STRONGEST LINK: THE RELATIVE CONTRIBUTION OF INDIVIDUAL TEAM MEMBER PROFICIENCY IN CONFIGURATION DESIGN

2020 ◽  
pp. 1-16
Author(s):  
Ethan Brownell ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky
Keyword(s):  
Team Performance ◽  
Positive Impact ◽  
Configuration Design ◽  
Design Team ◽  
Markov Modeling ◽  
Team Members ◽  
Engineering Teams ◽  
Relative Contribution ◽  
Hidden Markov Modeling ◽  
Team Design

Abstract Prior research has demonstrated how the average characteristics of a team impact team performance. The relative contribution of team members has been largely ignored, especially in the context of engineering design. In this work, a behavioral study was conducted to uncover whether the most or least proficient member of a configuration design team had a larger impact on overall performance. It was found that a configuration design team is most dependent on the proficiency of its most proficient member. The most proficient member had a significant positive effect on how quickly the team reached performance thresholds and the other members of the team were not found to have the same positive impact throughout the design study. Behavioral heuristics were found using hidden Markov modeling to capture the differences in behavior and design strategy between different proficiency members. Results show that high proficiency and low proficiency team members exhibit different behavior, with the most proficient member's behavior leading to topologically simpler designs and other members adopting their designs, leading to the most proficient member driving the team design and thus the team performance. These results underscore the value of the relative contribution model in constructing engineering teams by demonstrating that different team members had unequal effects on team performance. It is shown that enhancing the most proficient member of a team is more likely to contrubute to increased team performance than enhancing the least proficient member.

Development of a German-Language Questionnaire to Measure Collective Orientation as an Individual Attitude

2017 ◽  
Vol 76 (3) ◽  
pp. 91-105 ◽  
Author(s):  
Vera Hagemann
Keyword(s):  
Team Performance ◽  
Reliability And Validity ◽  
Future Research ◽  
German Language ◽  
Team Members ◽  
Collective Orientation ◽  
Team Research ◽  
German Speaking ◽  
Individual Variables ◽  
The Individual

Abstract. The individual attitudes of every single team member are important for team performance. Studies show that each team member’s collective orientation – that is, propensity to work in a collective manner in team settings – enhances the team’s interdependent teamwork. In the German-speaking countries, there was previously no instrument to measure collective orientation. So, I developed and validated a German-language instrument to measure collective orientation. In three studies (N = 1028), I tested the validity of the instrument in terms of its internal structure and relationships with other variables. The results confirm the reliability and validity of the instrument. The instrument also predicts team performance in terms of interdependent teamwork. I discuss differences in established individual variables in team research and the role of collective orientation in teams. In future research, the instrument can be applied to diagnose teamwork deficiencies and evaluate interventions for developing team members’ collective orientation.

Is the bottom line reached? An exploration of supervisor bottom-line mentality, team performance avoidance goal orientation and team performance

2021 ◽  
pp. 001872672110029
Author(s):  
Yuying Lin ◽  
Mengxi Yang ◽  
Matthew J Quade ◽  
Wansi Chen
Keyword(s):  
Goal Orientation ◽  
Team Performance ◽  
Social Information Processing ◽  
Negative Relationship ◽  
Bottom Line ◽  
Team Members ◽  
Processing Theory ◽  
Using Data ◽  
Exclusive Focus ◽  
Avoidance Goal

How do supervisors who treat the bottom line as more important than anything else influence team success? Drawing from social information processing theory, we explore how and when supervisor bottom-line mentality (i.e. an exclusive focus on bottom-line outcomes at the expense of other priorities) exerts influence on the bottom-line itself, in the form of team performance. We argue that a supervisor’s bottom-line mentality provides significant social cues for the team that securing bottom-line objectives is of sole importance, which stimulates team performance avoidance goal orientation, and thus decreases team performance. Further, we argue performing tension (i.e. tension between contradictory needs, demands, and goals), serving as team members’ mutual perception of the confusing environment, will strengthen the indirect negative relationship between supervisor bottom-line mentality and team performance through team performance avoidance goal orientation. We conduct a path analysis using data from 258 teams in a Chinese food-chain company, which provides support for our hypotheses. Overall, our findings suggest that supervisor’s exclusive focus on the bottom-line can serve to impede team performance. Theoretical contributions and practical implications are discussed.

Development of an Industry Test Facility and Qualification Process for ILI Technology Evaluation and Enhancements: Performance Evaluation Phase

2018 ◽  
Author(s):  
Pablo Cazenave ◽  
Ming Gao ◽  
Hans Deeb ◽  
Sean Black
Keyword(s):  
Performance Evaluation ◽  
Technology Development ◽  
New Technology ◽  
Test Facility ◽  
Technology Evaluation ◽  
Team Members ◽  
Integrity Assessment ◽  
Evaluation Phase ◽  
The Individual ◽  
Pull Tests

The project “Development of an Industry Test Facility and Qualification Processes for in-line inspection (ILI) technology Evaluation and Enhancements” aims to expand knowledge of ILI technology performance and identify gaps where new technology is needed. Additionally, this project also aims to provide ILI technology developers, researchers and pipeline operators a continuing resource for accessing test samples with a range of pipeline integrity threats and vintages; and inline technology test facilities at the Technology Development Center (TDC) of Pipeline Research Council International, Inc. (PRCI), a PRCI managed facility available for future industry and PHMSA research projects. An ILI pull test facility was designed and constructed as part of this project based on industry state-of-the-art and opportunities for capability improvement. The major ILI technology providers, together with pipeline operator team members, reviewed the TDC sample inventory and developed a series of ILI performance tests illustrating one of multiple possible research objectives, culminating in 16-inch and 24-inch nominal diameter test strings. The ILI technology providers proposed appropriate inspection tools based on the types of the integrity threats in the test strings, a series of pull tests of the provided ILI tools were performed, and the technology providers delivered reports of integrity anomaly location and dimensions for performance evaluation. Quantitative measures of detection and sizing performance were confidentially disclosed to the individual ILI technology providers. For instances where ILI predictions were outside of claimed performance, the vendors were given a limited sample of actual defect data to enable re-analysis, thus demonstrating the potential for improved integrity assessment with validation measurements. In this paper, an evaluation of the ILI data obtained from repeated pull-through testing on the 16 and 24-inch pipeline strings at the TDC is performed. The resulting data was aligned, analyzed, and compared to truth data and the findings of the evaluation are presented.

Analogy Seeded Mind-Maps: Testing of a New Design-by-Analogy Tool

2014 ◽  
Author(s):  
K. Scott Marshall ◽  
Richard Crawford ◽  
Matthew Green ◽  
Daniel Jensen
Keyword(s):  
Engineering Students ◽  
Word List ◽  
Design Team ◽  
Functional Requirement ◽  
Concept Generation ◽  
Team Members ◽  
Design Metrics ◽  
Engineering Design Problems ◽  
Design By Analogy ◽  
Mind Maps

Recent research has investigated methods based on design-by-analogy meant to enhance concept generation. This paper presents Analogy Seeded Mind-Maps, a new method to prompt generation of analogous solution principles drawn from multiple analogical domains. The method was evaluated in two separate design studies using senior engineering students. The method begins with identifying a primary functional design requirement such as “eject part.” We used this functional requirement “seed” to generate a WordTree of grammatically analogical words for each design team. We randomly selected a set of words from each WordTree list with varying lexical “distances” from the seed word, and used them to populate the first-level nodes of a mind-map, with the functional requirement seed as the central hub. Design team members first used the word list to individually generate solutions and then performed team concept generation using the analogically seeded mind-map. Quantity and uniqueness of the resulting verbal solution principles were evaluated. The solution principles were further analyzed to determine if the lexical “distance” from the seed word had an effect on the evaluated design metrics. The results of this study show Analogy Seeded Mind-Maps to be useful tool in generating analogous solutions for engineering design problems.

Differentiatie door coaches binnen amateursportteams: terecht of onterecht?

2007 ◽  
Vol 20 (4) ◽  
Author(s):  
Wim van Breukelen ◽  
Wendy Wesselius
Keyword(s):  
Team Performance ◽  
Differential Treatment ◽  
Working Relationships ◽  
Leader Member Exchange ◽  
Sports Teams ◽  
Team Members ◽  
Lmx Theory ◽  
Member Exchange ◽  
Relevant Topic ◽  
And Performance

Differential treatment by coaches of amateur sports teams: right or wrong? Differential treatment by coaches of amateur sports teams: right or wrong? J.W.M. van Breukelen & W. Wesselius, Gedrag & Organisatie, volume 20, November 2007, nr. 4, pp. 427-444 A central assumption in the Leader-Member Exchange (LMX) theory is that leaders do not adopt a single style towards all members of their work unit, but treat the various team members differently. This may result in different kinds of working relationships between the leader and the various members ranging from formal to intense. The effects of these different LMX relationships are visible in important outcome variables such as job satisfaction and performance. Not only in working organizations but also in the context of sports differential treatment by the coach seems a relevant topic. In this article we describe the results of a field study among the players (N = 218) of 21 amateur sports teams. Firstly, we investigated on which aspects the coaches of these teams differentiated between the various team members and how these incidents of differential treatment were experienced by the players in terms of justice and fairness. In addition, we analyzed whether the frequency and evaluation of differential treatment was related to the players' enthusiasm and to team atmosphere and team performance. Social differentiation was appreciated less than task differentiation. Especially task differentiation proved to be important for team performance.

A Toolkit to Assist Researchers to More Efficiently Conduct Experiments Assessing Human State

2017 ◽  
Vol 61 (1) ◽  
pp. 2032-2036 ◽  
Author(s):  
Bethany K. Bracken ◽  
Noa Palmon ◽  
David Koelle ◽  
Mike Farry
Keyword(s):  
Real Time ◽  
Team Performance ◽  
Team Member ◽  
Sensor Data ◽  
Team Members ◽  
Augmentation Strategies ◽  
Experimental Protocols ◽  
Multiple Sensor ◽  
Support Research

For teams to perform effectively, individuals must focus on their own tasks, while simultaneously maintaining awareness of other team members. Researchers studying and attempting to optimize performance of teams as well as individual team members use assessments of behavioral, neurophysiological, and physiological signals that correlate with individual and team performance. However, synchronizing data from multiple sensor devices can be difficult, and building and using models to assess human states of interest can be time-consuming and non-intuitive. To assist researchers, we built an Adaptable Toolkit for the Assessment and Augmentation of Performance by Teams in Real Time (ADAPTER), which provides a framework that flexibly integrates sensors and fuses sensor data to assess performance. ADAPTER flexibly integrates current and emerging sensors; assists researchers in creating and implementing models that support research on performance and the development of augmentation strategies; and enables comprehensive and holistic characterization of team member performance during real-time experimental protocols.

scholarly journals A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teams

2021 ◽  
Author(s):  
Niccolo Pescetelli ◽  
Patrik Reichert
Keyword(s):  
Team Performance ◽  
Opinion Dynamics ◽  
Relevant Information ◽  
Simple Majority ◽  
Information Distribution ◽  
Team Members ◽  
Online Social Media ◽  
Variational Autoencoder ◽  
Hidden Profile ◽  
Hybrid Teams

Online, social media bots have been accused to spread misinformation and support extreme or minority-held opinions. However, bots in hybrid human-machine teams can also be designed to improve team performance. In this paper, we study the effect of a single minority-supporting bot in hybrid teams in a carefully controlled experiment. People working in teams of 10 were asked to solve a hidden-profile prediction task, where task-relevant information was scattered unequally across team members. To do well in this task, pieces of information shared by the minority and the majority of players should be integrated. Simple majority-based decisions are not enough to perform well as information held by minority players is also valuable. We used a variational auto-encoder to train a bot to learn people's information distribution by observing how people's judgements correlated over time. After training, a bot was designed to increase team performance by selectively supporting opinions proportionally to their under-representation in the team. We show that the presence of a single bot (representing 10\% of team members) can significantly increase the polarization between minority and majority opinions by making minority opinions less prone to social influence. Although the effects on hybrid team performance were negligible, the bot presence significantly influenced team opinion dynamics. These findings show that unsupervised learning can be used to program bots that can improve team performance.

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