Trusting automation: Designing for responsivity and resilience
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 …
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 …
interactions more toward conversation. In Conversational Search Systems (CSS) like …
Conversational information seeking
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 …
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
Collaborative Qualitative Analysis (CQA) can enhance qualitative analysis rigor and depth
by incorporating varied viewpoints. Nevertheless, ensuring a rigorous CQA procedure itself …
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 …
questions about the regulatory and governance mechanisms for autonomous machines …
Situation awareness-based agent transparency and human-autonomy teaming effectiveness
Effective collaboration between humans and agents depends on humans maintaining an
appropriate understanding of and calibrated trust in the judgment of their agent counterparts …
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
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 …
designers appear regularly to integrate ML services in new apps, devices, and systems …
A theoretical framework for conversational search
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 …
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
As the quality of natural language generated by artificial intelligence systems improves,
writing interfaces can support interventions beyond grammar-checking and spell-checking …
writing interfaces can support interventions beyond grammar-checking and spell-checking …
Coactive design: Designing support for interdependence in joint activity
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 …
people and robots play as the use of robots expands into new, complex domains. The …