Trusting automation: Designing for responsivity and resilience

EK Chiou, JD Lee - Human factors, 2023 - journals.sagepub.com
Objective This paper reviews recent articles related to human trust in automation to guide
research and design for increasingly capable automation in complex work environments …

How to approach ambiguous queries in conversational search: A survey of techniques, approaches, tools, and challenges

K Keyvan, JX Huang - ACM Computing Surveys, 2022 - dl.acm.org
The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …

Conversational information seeking

H Zamani, JR Trippas, J Dalton… - … and Trends® in …, 2023 - nowpublishers.com
Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

CollabCoder: a lower-barrier, rigorous workflow for inductive collaborative qualitative analysis with large language models

J Gao, Y Guo, G Lim, T Zhang, Z Zhang, TJJ Li… - Proceedings of the CHI …, 2024 - dl.acm.org
Collaborative Qualitative Analysis (CQA) can enhance qualitative analysis rigor and depth
by incorporating varied viewpoints. Nevertheless, ensuring a rigorous CQA procedure itself …

Society-in-the-loop: programming the algorithmic social contract

I Rahwan - Ethics and information technology, 2018 - Springer
Recent rapid advances in Artificial Intelligence (AI) and Machine Learning have raised many
questions about the regulatory and governance mechanisms for autonomous machines …

Situation awareness-based agent transparency and human-autonomy teaming effectiveness

JYC Chen, SG Lakhmani, K Stowers… - Theoretical issues in …, 2018 - Taylor & Francis
Effective collaboration between humans and agents depends on humans maintaining an
appropriate understanding of and calibrated trust in the judgment of their agent counterparts …

UX design innovation: Challenges for working with machine learning as a design material

G Dove, K Halskov, J Forlizzi… - Proceedings of the 2017 …, 2017 - dl.acm.org
Machine learning (ML) is now a fairly established technology, and user experience (UX)
designers appear regularly to integrate ML services in new apps, devices, and systems …

A theoretical framework for conversational search

F Radlinski, N Craswell - Proceedings of the 2017 conference on …, 2017 - dl.acm.org
This paper studies conversational approaches to information retrieval, presenting a theory
and model of information interaction in a chat setting. In particular, we consider the question …

Creative writing with a machine in the loop: Case studies on slogans and stories

E Clark, AS Ross, C Tan, Y Ji, NA Smith - Proceedings of the 23rd …, 2018 - dl.acm.org
As the quality of natural language generated by artificial intelligence systems improves,
writing interfaces can support interventions beyond grammar-checking and spell-checking …

Coactive design: Designing support for interdependence in joint activity

M Johnson, JM Bradshaw, PJ Feltovich… - Journal of Human …, 2014 - dl.acm.org
Coactive Design is a new approach to address the increasingly sophisticated roles that
people and robots play as the use of robots expands into new, complex domains. The …