Needs, affect, and interactive products – Facets of user experience
Abstract
Subsumed under the umbrella of User Experience (UX), practitioners and academics of Human–Computer Interaction look for ways to broaden their understanding of what constitutes “pleasurable experiences” with technology. The present study considered the fulfilment of universal psychological needs, such as competence, relatedness, popularity, stimulation, meaning, security, or autonomy, to be the major source of positive experience with interactive technologies. To explore this, we collected over 500 positive experiences with interactive products (e.g., mobile phones, computers). As expected, we found a clear relationship between need fulfilment and positive affect, with stimulation, relatedness, competence and popularity being especially salient needs. Experiences could be further categorized by the primary need they fulfil, with apparent qualitative differences among some of the categories in terms of the emotions involved. Need fulfilment was clearly linked to hedonic quality perceptions, but not as strongly to pragmatic quality (i.e., perceived usability), which supports the notion of hedonic quality as “motivator” and pragmatic quality as “hygiene factor.” Whether hedonic quality ratings reflected need fulfilment depended on the belief that the product was responsible for the experience (i.e., attribution).
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Popularity is sometimes a desired outcome mediated by the basic psychological needs for relatedness and competence and is not a universal core need in itself.
“we argue that popularity is sometimes a desired outcome mediated by the basic psychological needs for relatedness and competence and not a universal core need in and of itself.”
From Designing for Motivation, Engagement and Wellbeing in Digital Experience (2018) · cites this paper as Hassenzahl et al., 2010
The basic needs defined by SDT are measurable, intrinsically rewarding, and always safe targets for design because there is no point at which you overfill on them.
“It is also important that the basic needs defined by SDT are: measurable, intrinsically rewarding, and always safe targets for design because there is no point at which you “overfill” on them (as opposed to, for example, stimulation as posited by Hassenzahl et al., 2010).”
From Designing for Motivation, Engagement and Wellbeing in Digital Experience (2018) · cites this paper as Hassenzahl et al., 2010
Basic Psychological Need Satisfaction has a positive influence on users' experience when interacting with technologies.
“For user experience design, BPN Satisfaction has proven to have a positive influence on users' experience when interacting with technologies.”
From Development and Validation of a Basic Psychological Needs Scale for Technology Use (2024) · cites this paper as Hassenzahl et al. (2010)
Hassenzahl et al. analyzed over 500 positive experiences with interactive technologies and found that fulfillment of the Competence and Relatedness Needs, among other factors, are key drivers for positive affect in technology interaction.
“Pioneering the idea of involving psychological need assessment in user experience, Hassenzahl et al. (2010) analyzed over 500 positive experiences with interactive technologies while assessing user's fulfillment of 10 psychological needs based on Sheldon et al. (2001).The results revealed that specifically the fulfillment of the Competence and Relatedness Need, amongst other factors such as stim”
From Development and Validation of a Basic Psychological Needs Scale for Technology Use (2024) · cites this paper as Hassenzahl et al. (2010)
Previous studies assessing Basic Psychological Need Satisfaction in user experience design, automotive user interface design, or chatbot interaction have used individually adapted versions of existing scales.
“Previous studies assessing BPN Satisfaction in broader user experience design contexts (e.g., Hassenzahl et al., 2010;Karapanos et al., 2015;Lallemand et al., 2014;Partala & Kallinen, 2012;Tuch et al., 2013), automotive user interface design (Stiegemeier et al., 2022), or during chatbot interaction (e.g., De Vreede et al., 2021;Jiménez-Barreto et al., 2021;Moradbakhti et al., 2022) have used”
From Development and Validation of a Basic Psychological Needs Scale for Technology Use (2024) · cites this paper as Hassenzahl et al., 2010
Cites
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433 · see citing works
Ryan, R. M., & Deci, E. L. (2000) · American Psychologist · doi:10.1037//0003-066x.55.1.68 · Cited by 27,815 · see citing works
Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007) · Multivariate Behavioral Research · doi:10.1080/00273170701341316 · Cited by 9,973 · see citing works
Core affect and the psychological construction of emotion.
Russell, J. A. (2003) · Psychological Review · doi:10.1037/0033-295x.110.1.145 · Cited by 6,113 · see citing works
What is satisfying about satisfying events? Testing 10 candidate psychological needs.
Sheldon, K. M., Elliot, A. J., Kim, Y., & Kasser, T. (2001) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.80.2.325 · Cited by 1,694 · see citing works
Kruglanski, A. W., Shah, J. Y., Fishbach, A., Friedman, R., Chun, W. Y., & Sleeth-Keppler, D. (2002) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(02)80008-9 · Cited by 1,386 · see citing works
The Thing and I: Understanding the Relationship Between User and Product
Hassenzahl, M. (2003) · Human-Computer Interaction Series · doi:10.1007/1-4020-2967-5_4 · Cited by 1,097 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Designing for Motivation, Engagement and Wellbeing in Digital Experience
Peters, D., Calvo, R. A., & Ryan, R. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00797 · Cited by 797 · see citing works
Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach
Hoffman, D. L., & Novak, T. P. (2018) · Journal of Consumer Research · doi:10.1093/jcr/ucx105 · Cited by 668 · see citing works
User acceptance of virtual reality: An extended technology acceptance model
Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., & Valléry, G. (2020) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2019.1708612 · Cited by 493 · see citing works
Need fulfillment and experiences on social media: A case on Facebook and WhatsApp
Karapanos, E., Teixeira, P., & Gouveia, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.10.015 · Cited by 316 · see citing works
A randomized controlled trial of three smartphone apps for enhancing public mental health
Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.08.003 · Cited by 176 · see citing works
Desmet, P., & Fokkinga, S. (2020) · Multimodal Technologies and Interaction · doi:10.3390/mti4030038 · Cited by 181 · see citing works
“Hassenzahl and colleagues found a positive relationship between need fulfilment and enjoyable experiences with technological artifacts [6], see also [7,8].”
BackgroundWellbeing in the Making: Peoples' Experiences with Wearable Activity Trackers
Karapanos, E., Gouveia, R., Hassenzahl, M., & Forlizzi, J. (2016) · Psychology of Well-Being · doi:10.1186/s13612-016-0042-6 · Cited by 124 · see citing works
Self-citationHow does HCI Understand Human Agency and Autonomy?
Bennett, D., Metatla, O., Roudaut, A., & Mekler, E. D. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580651 · Cited by 111 · see citing works
Vollenwyder, B., Petralito, S., Iten, G. H., Brühlmann, F., Opwis, K., & Mekler, E. D. (2023) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102956 · Cited by 62 · see citing works
Creating a Chatbot for and with Migrants: Chatbot Personality Drives Co-Design Activities
Chen, Z., Lu, Y., Nieminen, M. P., & Lucero, A. (2020) · Proceedings of the 2020 ACM Designing Interactive Systems Conference · doi:10.1145/3357236.3395495 · Cited by 61 · see citing works
Kuhail, M. A., Thomas, J., Alramlawi, S., Shah, S. J. H., & Thornquist, E. (2022) · Informatics · doi:10.3390/informatics9040081 · Cited by 59 · see citing works
Kobiella, C., Flores López, Y. S., Waltenberger, F., Draxler, F., & Schmidt, A. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641964 · Cited by 57 · see citing works
Self-Determination Theory and HCI Games Research: Unfulfilled Promises and Unquestioned Paradigms
Tyack, A., & Mekler, E. D. (2024) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3673230 · Cited by 57 · see citing works
New Perspectives on User Participation in Technology Design Processes: An Interdisciplinary Approach
Grates, M. G., Heming, A.-C., Vukoman, M., Schabsky, P., & Sorgalla, J. (2019) · The Gerontologist · doi:10.1093/geront/gny112 · Cited by 37 · see citing works
Development and Validation of a Basic Psychological Needs Scale for Technology Use
Moradbakhti, L., Leichtmann, B., & Mara, M. (2024) · Psychological Test Adaptation and Development · doi:10.1027/2698-1866/a000062 · Cited by 41 · see citing works
Perski, O., Baretta, D., Blandford, A., West, R., & Michie, S. (2018) · DIGITAL HEALTH · doi:10.1177/2055207618785841 · Cited by 31 · see citing works
Beyond Intrinsic Motivation: The Role of Autonomous Motivation in User Experience
Bennett, D., & Mekler, E. D. (2024) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3689044 · Cited by 37 · see citing works
UX Heatmaps: Mapping User Experience on Visual Interfaces
Georges, V., Courtemanche, F., Senecal, S., Baccino, T., Fredette, M., & Leger, P.-M. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858271 · Cited by 29 · see citing works
UUX Evaluation of a Digitally Advanced Human–Machine Interface for Excavators
Lorenz, S., Helmert, J. R., Anders, R., Wölfel, C., & Krzywinski, J. (2020) · Multimodal Technologies and Interaction · doi:10.3390/mti4030057 · Cited by 16 · see citing works
Economou, M., Young, H., & Sosnowska, E. (2026) · International Journal of Heritage Studies · doi:10.1080/13527258.2025.2591613 · Cited by 8 · see citing works
“…a significant gap in digital heritage evaluation (Damala, Ruthven, and Hornecker 2019), which has traditionally privileged usability over emotional and experiential dimensions, despite growing recognition of emotions’ crucial role in user experience (Hassenzahl, Diefenbach, and Göritz 2010).”
- Authors
- Hassenzahl, M., Diefenbach, S., & Göritz, A.
- Affiliations
- Åbo Akademi University (FI)
- Folkwang University of the Arts (DE)
- University of Würzburg (DE)
- Corresponding author
- Hassenzahl, Marc
- Venue
- Interacting with Computers
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-09
- Volume
- 22
- Issue
- 5
- Pages
- 353-362
- ISSN
- 0953-5438 (ISSN-L)
- OpenAlex
- W1987970830
- Cited by
- 867
- References
- 7
- Citations by year
- 2026: 48 · 2025: 105 · 2024: 54 · 2023: 54 · 2022: 69 · 2021: 57 · 2020: 58 · 2019: 63 · 2018: 63 · 2017: 47 · 2016: 48 · 2015: 61 · 2014: 35 · 2013: 43 · 2012: 36
- FWCI
- 65.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Interacting with Computers (publishedVersion)
- OPUS (Augsburg University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- user experience, need satisfaction, positive affect, psychological needs, competence, relatedness, stimulation, popularity, meaning, security, autonomy, interactive products, hedonic quality, usability, attribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review