abstract

Identifying Experience Categories to Design for Positive Experiences with Technology at Work.

Authors:

Katharina M. Zeiner,

Magdalena Laib,

Katharina Schippert,

Michael BurmesterAuthors Info & Claims

CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 3013 - 3020

https://doi.org/10.1145/2851581.2892548

Published: 07 May 2016 Publication History

Abstract

In order to create positive experiences with technology at work we have go gain a better understanding of positive experiences at work in general. Here we describe how experience interviews can be used to distill experience categories that capture the essence of clusters of positive experiences at work. These experience categories can then form the basis of new positive experiences with technology at work. This process allows practitioners to draw from the wealth of positive experiences in areas that easily lend themselves to those experiences and apply them to areas that might not have been the focus of positive design so far. We find 21 distinct experience categories for situations at work and show how they can be applied when creating concepts for situations involving technology.

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Cited By

Cheon EKhovanskaya V(2024)Amazon Z to A: Speculative Design to Understand the Future of Labor-Intensive WorkplacesProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661561(314-327)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661561
Simsek Caglar PVainio TRoto V(2023)Transparency experience in remote teamwork – a sociomaterial approachBehaviour & Information Technology10.1080/0144929X.2023.2260910(1-26)Online publication date: 25-Sep-2023
https://doi.org/10.1080/0144929X.2023.2260910
Fink VRitter MEibl M(2023)Shopping Profiles of Supermarket CustomersHCI International 2023 Posters10.1007/978-3-031-36001-5_43(337-343)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-36001-5_43
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Index Terms

Identifying Experience Categories to Design for Positive Experiences with Technology at Work.

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cover image ACM Conferences

CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2016

3954 pages

ISBN:9781450340823

DOI:10.1145/2851581

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
,
Program Chairs:
Cliff Lampe
University of Michigan
,
Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Copyright © 2016 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 May 2016

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Bundesministerium für Wirtschaft und Energie

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CHI'16

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SIGCHI

CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

California, San Jose, USA

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CHI EA '16 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

Cheon EKhovanskaya V(2024)Amazon Z to A: Speculative Design to Understand the Future of Labor-Intensive WorkplacesProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661561(314-327)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661561
Simsek Caglar PVainio TRoto V(2023)Transparency experience in remote teamwork – a sociomaterial approachBehaviour & Information Technology10.1080/0144929X.2023.2260910(1-26)Online publication date: 25-Sep-2023
https://doi.org/10.1080/0144929X.2023.2260910
Fink VRitter MEibl M(2023)Shopping Profiles of Supermarket CustomersHCI International 2023 Posters10.1007/978-3-031-36001-5_43(337-343)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-36001-5_43
Godoy MRusu CUgalde J(2023)A Preliminary Methodology for Information Consumer Experience EvaluationSocial Computing and Social Media10.1007/978-3-031-35915-6_36(506-519)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35915-6_36
Krueger AMinet S(2022)Designing Positive Experiences in Creative Workshops at Work Using a Warm UP Set Based on Psychological NeedsMultimodal Technologies and Interaction10.3390/mti61000906:10(90)Online publication date: 13-Oct-2022
https://doi.org/10.3390/mti6100090
Laib MHaspel CStockinger CPolanski-Schräder LDücker PVoll KSchiffrer PBurmester M(2022)Wellbeing at Work—Emotional Impact on Workers Using a Worker Guidance System Designed for Positive User ExperienceMultimodal Technologies and Interaction10.3390/mti61000876:10(87)Online publication date: 12-Oct-2022
https://doi.org/10.3390/mti6100087
Haspel CLaib MEarly LBurmester M(2022)Relation between Experience Categories and Psychological NeedsMultimodal Technologies and Interaction10.3390/mti60900806:9(80)Online publication date: 14-Sep-2022
https://doi.org/10.3390/mti6090080
Godoy MRusu CUgalde J(2022)Information Consumer Experience: A Systematic ReviewApplied Sciences10.3390/app12241263012:24(12630)Online publication date: 9-Dec-2022
https://doi.org/10.3390/app122412630
Simsek Caglar PRoto VVainio T(2022)User Experience Research in the Work Context: Maps, Gaps and AgendaProceedings of the ACM on Human-Computer Interaction10.1145/35129796:CSCW1(1-28)Online publication date: 7-Apr-2022
https://dl.acm.org/doi/10.1145/3512979
Hohm AHappel OHurtienne JGrundgeiger T(2022)User experience in safety–critical domains: a survey on motivational orientations and psychological need satisfaction in acute careCognition, Technology and Work10.1007/s10111-022-00697-024:2(247-260)Online publication date: 1-May-2022
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