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A Multisensor Person-Centered Approach to Understand the Role of Daily Activities in Job Performance with Organizational Personas by Vedant Das Swain; Koustuv Saha; Hemang Rajvanshy; Anusha Sirigiri; Julie M. Gregg; Suwen Lin; Gonzalo J. Martinez; Stephen M. Mattingly; Shayan Mirjafari; Raghu Mulukutla; Subigya Nepal; Kari Nies; Manikanta D. Reddy; Pablo Robles-Granda; Andrew T. Campbell; Nitesh V. Chawla; Sidney D'Mello; Anind K. Dey; Kaifeng Jiang; Qiang Liu; Gloria Mark; Edward Moskal; Aaron Striegel; Louis Tay; Gregory D. Abowd; Munmun De Choudhury is a Computer Science article available to read on EtoBox.
What is A Multisensor Person-Centered Approach to Understand the Role of Daily Activities in Job Performance with Organizational Personas about?
Several psychologists posit that performance is not only a function of personality but also of situational contexts, such as day-level activities. Yet in practice, since only personality assessments are used to infer job performance, they provide a limited perspective by ignoring activity. However, multi-modal sensing has the potential to characterize these daily activities. This paper illustrates how empirically measured activity data complements traditional effects of personality to explain a worker's performance. We leverage sensors in commodity devices to quantify the activity context of 603 information workers. By applying classical clustering methods on this multisensor data, we take a person-centered approach to describe workers in terms of both personality and activity. We encapsulate both these facets into an analytical framework that we call organizational personas. On interpreting these organizational personas we find empirical evidence to support that, independent of a worker's personality, their activity is associated with job performance. While the effects of personality are consistent with the literature, we find that the activity is equally effective in explaining o
Who reads A Multisensor Person-Centered Approach to Understand the Role of Daily Activities in Job Performance with Organizational Personas?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Vedant Das Swain; Koustuv Saha; Hemang Rajvanshy; Anusha Sirigiri; Julie M. Gregg; Suwen Lin; Gonzalo J. Martinez; Stephen M. Mattingly; Shayan Mirjafari; Raghu Mulukutla; Subigya Nepal; Kari Nies; Manikanta D. Reddy; Pablo Robles-Granda; Andrew T. Campbell; Nitesh V. Chawla; Sidney D'Mello; Anind K. Dey; Kaifeng Jiang; Qiang Liu; Gloria Mark; Edward Moskal; Aaron Striegel; Louis Tay; Gregory D. Abowd; Munmun De Choudhury
- Publisher
- ACM
- Published
- 2019
- Language
- EN
- Field
- Computer Science (Physical Sciences)