DISCERN: Designing Decision Support Interfaces to Investigate the Complexities of Workplace Social Decision-Making With Line Managers

要旨

Line managers form the first level of management in organizations, and must make complex decisions, while maintaining relationships with those impacted by their decisions. Amidst growing interest in technology-supported decision-making at work, their needs remain understudied. Further, most existing design knowledge for supporting social decision-making comes from domains where decision-makers are more socially detached from those they decide for. We conducted iterative design research with line managers within a technology organization, investigating decision-making practices, and opportunities for technological support. Through formative research, development of a decision-representation tool—DISCERN—and user enactments, we identify their communication and analysis needs that lack adequate support. We found they preferred tools for externalizing reasoning rather than tools that replace interpersonal interactions, and they wanted tools to support a range of intuitive and calculative decision-making. We discuss how design of social decision-making supports, especially in the workplace, can more explicitly support highly interactional social decision-making.

著者
Pranav Khadpe
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Lindy Le
Microsoft, Redmond, Washington, United States
Kate Nowak
Microsoft, Redmond, Washington, United States
Shamsi T. Iqbal
Microsoft Research, Redmond, Washington, United States
Jina Suh
Microsoft Research, Redmond, Washington, United States
論文URL

doi.org/10.1145/3613904.3642685

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Working Practices and Tools C

313B
5 件の発表
2024-05-13 23:00:00
2024-05-14 00:20:00