output
20022026
most citedHistorical comparison of gender inequality in scientific careers across countries and disciplines

978 citations

Showing 2020 · cs.HCShow all

6 papers · 2 filters

cs.HC2020★ 9 cited

We Dare You: A Lifecycle Study of a Substitutional Reality Installation in a Museum Space

Petros Ioannidis, Lina Eklund, Anders Sundnes Løvlie

In this article, we present a lifecycle study of We Dare You, a Substitutional Reality (SR) installation that combines visual and tactile stimuli. The installation is set up in a c…

cs.HC2020★ 10 cited

Designing for Interpersonal Museum Experiences

Anders Sundnes Løvlie, Lina Eklund, Annika Waern +2

What does the age of participation look like from the perspective of a museum visitor? Arguably, the concept of participative experiences is already so deeply ingrained in our cult…

cs.HC2020★ 36 cited

Designing Game Feel. A Survey

Martin Pichlmair, Mads Johansen

Game feel design is the intentional design of the affective impact of moment-to-moment interaction with games. In this paper we survey academic research and publications by practit…

cs.HC2020★ 2 cited

crea.blender: A Neural Network-Based Image Generation Game to Assess Creativity

Janet Rafner, Arthur Hjorth, Sebastian Risi +9

We present a pilot study on crea.blender, a novel co-creative game designed for large-scale, systematic assessment of distinct constructs of human creativity. Co-creative systems a…

cs.HC2020★ 3 cited

iNNk: A Multi-Player Game to Deceive a Neural Network

Jennifer Villareale, Ana Acosta-Ruiz, Samuel Arcaro +10

This paper presents iNNK, a multiplayer drawing game where human players team up against an NN. The players need to successfully communicate a secret code word to each other throug…

cs.HC2020★ 8 cited

Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples

Chelsea M. Myers, Evan Freed, Luis Fernando Laris Pardo +3

AI algorithms are not immune to biases. Traditionally, non-experts have little control in uncovering potential social bias (e.g., gender bias) in the algorithms that may impact the…