[HTML][HTML] Digital nudging with recommender systems: Survey and future directions

M Jesse, D Jannach - Computers in Human Behavior Reports, 2021 - Elsevier
Recommender systems are nowadays a pervasive part of our online user experience, where
they either serve as information filters or provide us with suggestions for additionally relevant …

[HTML][HTML] Transparency in persuasive technology, immersive technology, and online marketing: Facilitating users' informed decision making and practical implications

R Wang, R Bush-Evans, E Arden-Close, E Bolat… - Computers in Human …, 2023 - Elsevier
In the current age of emerging technologies and big data, transparency has become an
important issue for technology users and online consumers. However, there is a lack of …

The placebo effect of artificial intelligence in human–computer interaction

T Kosch, R Welsch, L Chuang, A Schmidt - ACM Transactions on …, 2023 - dl.acm.org
In medicine, patients can obtain real benefits from a sham treatment. These benefits are
known as the placebo effect. We report two experiments (Experiment I: N= 369; Experiment …

A decade of sustainable HCI: connecting SHCI to the sustainable development goals

LÅEJ Hansson, T Cerratto Pargman… - Proceedings of the 2021 …, 2021 - dl.acm.org
Sustainable HCI (SHCI) constitutes a relatively new research field within HCI. We have
identified four literature reviews of the field conducted between 2009-2014. In this paper, we …

The digital landscape of nudging: A systematic literature review of empirical research on digital nudges

K Bergram, M Djokovic, V Bezençon… - Proceedings of the 2022 …, 2022 - dl.acm.org
Research output related to digital nudging has increased ten-fold over the last five years.
Nudging in the digital realm differs from its analog counterpart in important ways. For …

Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes

A Zhang, A Boltz, J Lynn, CW Wang… - Proceedings of the 2023 …, 2023 - dl.acm.org
AI technologies continue to advance from digital assistants to assisted decision-making.
However, designing AI remains a challenge given its unknown outcomes and uses. One …

A systematic review and thematic analysis of community-collaborative approaches to computing research

N Cooper, T Horne, GR Hayes, C Heldreth… - Proceedings of the …, 2022 - dl.acm.org
HCI researchers have been gradually shifting attention from individual users to communities
when engaging in research, design, and system development. However, our field has yet to …

Defining and identifying attention capture deceptive designs in digital interfaces

A Monge Roffarello, K Lukoff, L De Russis - Proceedings of the 2023 …, 2023 - dl.acm.org
Many tech companies exploit psychological vulnerabilities to design digital interfaces that
maximize the frequency and duration of user visits. Consequently, users often report feeling …

Are you sure, you want a cookie?–The effects of choice architecture on users' decisions about sharing private online data

JM Bauer, R Bergstrøm, R Foss-Madsen - Computers in Human behavior, 2021 - Elsevier
Data privacy is an important topic in the public debate. Recent policy changes aimed to
strengthen users' control over their own data. We conducted a randomized field trial to show …

[HTML][HTML] Apps that motivate: a taxonomy of app features based on self-determination theory

G Villalobos-Zúñiga, M Cherubini - International Journal of Human …, 2020 - Elsevier
Nowadays, thousands of popular applications are designed to help users improve their lives
through behavioural adjustment (eg, meditate more, stay hydrated). However, our …