Threats of a replication crisis in empirical computer science

A Cockburn, P Dragicevic, L Besançon… - Communications of the …, 2020 - dl.acm.org
Threats of a replication crisis in empirical computer science Page 1 70 COMMUNICATIONS
OF THE ACM | AUGUST 2020 | VOL. 63 | NO. 8 review articles “If we do not live up to the …

Electrotactile feedback applications for hand and arm interactions: A systematic review, meta-analysis, and future directions

P Kourtesis, F Argelaguet, S Vizcay… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Haptic feedback is critical in a broad range of human-machine/computer-interaction
applications. However, the high cost and low portability/wearability of haptic devices remain …

Are explanations helpful? a comparative study of the effects of explanations in ai-assisted decision-making

X Wang, M Yin - Proceedings of the 26th International Conference on …, 2021 - dl.acm.org
This paper contributes to the growing literature in empirical evaluation of explainable AI
(XAI) methods by presenting a comparison on the effects of a set of established XAI methods …

When confidence meets accuracy: Exploring the effects of multiple performance indicators on trust in machine learning models

A Rechkemmer, M Yin - Proceedings of the 2022 chi conference on …, 2022 - dl.acm.org
Previous research shows that laypeople's trust in a machine learning model can be affected
by both performance measurements of the model on the aggregate level and performance …

Gamification suffers from the novelty effect but benefits from the familiarization effect: Findings from a longitudinal study

L Rodrigues, FD Pereira, AM Toda… - International Journal of …, 2022 - Springer
There are many claims that gamification (ie, using game elements outside games) impact
decreases over time (ie, the novelty effect). Most studies analyzing this effect focused on …

How do visual explanations foster end users' appropriate trust in machine learning?

F Yang, Z Huang, J Scholtz, DL Arendt - Proceedings of the 25th …, 2020 - dl.acm.org
We investigated the effects of example-based explanations for a machine learning classifier
on end users' appropriate trust. We explored the effects of spatial layout and visual …

Towards collaborative learning in virtual reality: A comparison of co-located symmetric and asymmetric pair-learning

T Drey, P Albus, S der Kinderen, M Milo… - Proceedings of the …, 2022 - dl.acm.org
Pair-learning is beneficial for learning outcome, motivation, and social presence, and so is
virtual reality (VR) by increasing immersion, engagement, motivation, and interest of …

From shielding to avoidance: Passenger augmented reality and the layout of virtual displays for productivity in shared transit

D Medeiros, M McGill, A Ng… - … on Visualization and …, 2022 - ieeexplore.ieee.org
Passengers spend considerable periods of time in shared transit spaces, relying on
smartphones and laptops for work. However, these displays are limited in size and …

Increasing the transparency of research papers with explorable multiverse analyses

P Dragicevic, Y Jansen, A Sarma, M Kay… - proceedings of the 2019 …, 2019 - dl.acm.org
We present explorable multiverse analysis reports, a new approach to statistical reporting
where readers of research papers can explore alternative analysis options by interacting …

Watch out for updates: Understanding the effects of model explanation updates in ai-assisted decision making

X Wang, M Yin - Proceedings of the 2023 CHI Conference on Human …, 2023 - dl.acm.org
AI explanations have been increasingly used to help people better utilize AI
recommendations in AI-assisted decision making. While AI explanations may change over …