Intra-Company Crowdsensing: Datafication with Human-in-the-Loop
| Autor: | Jaroslaw Domaszewicz, Dariusz Parzych |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
IoT
Chemical technology mobile crowdsensing participatory sensing human sensor human-computer interaction context awareness digital/human work configuration internal crowdsourcing organizational aspects Data Collection TP1-1185 Biochemistry Atomic and Molecular Physics and Optics Analytical Chemistry Surveys and Questionnaires Humans Electrical and Electronic Engineering Instrumentation |
| Zdroj: | Sensors; Volume 22; Issue 3; Pages: 943 Sensors, Vol 22, Iss 943, p 943 (2022) |
| ISSN: | 1424-8220 |
| Popis: | Every day employees learn about things happening in their company. This includes plain facts witnessed while on the job, related or not to one’s job responsibilities. Many of these facts, which we call “occurrence data”, are known by employees but remain unknown to the company. We suppose that some of them are valuable and may improve the company’s situational awareness. In the spirit of mobile crowdsensing, we propose intra-company crowdsensing (ICC), a method of “extracting” occurrence data from employees. In ICC, an employee occasionally responds to sensing requests, each about one plain fact. We elaborate the concept of ICC, proposing a model of human-system interaction, a system architecture, and an organizational process. We position ICC with respect to related concepts from information technology, and we look at it from selected organizational and managerial viewpoints. Finally, we conducted a survey, in which we presented the concept of ICC to employees of different companies and asked for their evaluation. Respondents positive about ICC outnumbered skeptics by a wide margin. The survey also revealed some concerns, mostly related to ICC being perceived as another employee surveillance tool. However, useful and acceptable sensing requests are likely to be found in every organization. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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