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Understanding the Office: Using Ecological Momentary Assessment to Measure Activities, Posture, Social Interactions, Mood, and Work Performance at the Workplace. BUILDINGS 2019. [DOI: 10.3390/buildings9020054] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Studying the workplace often involves using observational, self-report recall, or focus group tools, which all have their established advantages and disadvantages. There is, however, a need for a readily available, low-invasive method that can provide longitudinal, repeated, and concurrent in-the-moment information to understand the workplace well. In this study, ecological momentary assessment (EMA) was used to collect 508 real-time responses about activities, posture, work performance, social interactions, and mood in 64 adult office workers in three Australian workplaces. The response rate was 53%, and the time to fill out the survey was 50 seconds on average. On average, the participants were sitting, standing, and walking in 84%, 9%, and 7% of survey instances, respectively. The participants reported they were working alone at their desks in 55% of all reported instances. Reported mood varied up to nine points within one person over the course of the post-occupancy observations. EMA can be used to paint a rich picture of occupants’ experiences and perceptions and to gain invaluable understanding of temporal patterns of the workplace, how the space is used, and how aspects of the workplace interact. This information can be used to make improvements to the physical and social workspaces and enhance occupants’ work performance and mood.
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Dennis AR, Heminger AR, Nunamaker J, Vogel DR. Bringing automated support to large groups: The Burr-Brown experience. INFORMATION & MANAGEMENT 1990. [DOI: 10.1016/0378-7206(90)90065-p] [Citation(s) in RCA: 94] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Yap CS. Distinguishing characteristics of organizations using computers. INFORMATION & MANAGEMENT 1990. [DOI: 10.1016/0378-7206(90)90056-n] [Citation(s) in RCA: 59] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Stefik M, Bobrow DG, Foster G, Lanning S, Tatar D. WYSIWIS revised: early experiences with multiuser interfaces. ACM T INFORM SYST 1987. [DOI: 10.1145/27636.28056] [Citation(s) in RCA: 128] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
WYSIWIS (What You See Is What I See) is a foundational abstraction for multiuser interfaces that expresses many of the characteristics of a chalkboard in face-to-face meetings. In its strictest interpretation, it means that everyone can also see the same written information and also see where anyone else is pointing. In our attempts to build software support for collaboration in meetings, we have discovered that WYSIWIS is crucial, yet too inflexible when strictly enforced. This paper is about the design issues and choices that arose in our first generation of meeting tools based on WYSIWIS. Several examples of multiuser interfaces that start from this abstraction are presented. These tools illustrate that there are inherent conflicts between the needs of a group and the needs of individuals, since user interfaces compete for the same display space and meeting time. To help minimize the effect of these conflicts, constraints were relaxed along four key dimensions of WYSIWIS: display space, time of display, subgroup population, and congruence of view. Meeting tools must be designed to support the changing needs of information sharing during process transitions, as subgroups are formed and dissolved, as individuals shift their focus of activity, and as the group shifts from multiple parallel activities to a single focused activity and back again.
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Affiliation(s)
- M. Stefik
- Xerox Palo Alto Research Center, Palo Alto, CA
| | | | - G. Foster
- Xerox Palo Alto Research Center, Palo Alto, CA
| | - S. Lanning
- Xerox Palo Alto Research Center, Palo Alto, CA
| | - D. Tatar
- Xerox Palo Alto Research Center,Palo Alto, CA
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Porter AL. A TWO‐FACTOR MODEL OF THE EFFECTS OF OFFICE AUTOMATION ON EMPLOYMENT. ACTA ACUST UNITED AC 1987. [DOI: 10.1108/eb022642] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Yap CS, Walsham G. A survey of information technology in the U.K. service sector. INFORMATION & MANAGEMENT 1986. [DOI: 10.1016/0378-7206(86)90029-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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