Results 81 to 90 of about 154,629 (311)

The A(I) Team: Effects of Human‐Likeness and Conformity to Gender Stereotypes on Initial Trust and Willingness to Work With an AI Teammate

Journal of Organizational Behavior, EarlyView.
ABSTRACT As artificial intelligence (AI) technologies progress, AI agents arise as potential teammates in the workplace. This study explores how the visual representation of the AI agent as well as its conformity to traditional gender stereotypes affects the manifestation of uncanny valley effects in a workplace team context.
Agata Mirowska, Jbid Arsenyan
wiley   +1 more source

Crowdsourcing to identify social innovation initiatives in health in low- and middle-income countries

Infectious Diseases of Poverty, 2020
Background Crowdsourcing is a distributed problem-solving and production mechanism that leverages the collective intelligence of non-expert individuals and networked communities for specific goals. Social innovation (SI) initiatives aim to address health
Lindi van Niekerk, Arturo Ongkeko, Rachel Alice Hounsell, Barwani Khaura Msiska, Don Pascal Mathanga, Josselyn Mothe, Noel Juban, Phyllis Awor, Dina Balabanova   +8 more
doaj   +1 more source

Unlocking Privacy in Healthcare: The Impact of Explanations on Privacy Concerns and Self‐Disclosure to Conversational Technologies

Journal of Operations Management, EarlyView.
ABSTRACT While artificial intelligence (AI)‐based conversational technologies offer exciting prospects in healthcare, the lack of transparency and elevated privacy concerns in using such technologies remain a challenge and make much‐needed information difficult to obtain while administering patient care.
Hashai Papneja, Sarv Devaraj
wiley   +1 more source

Proxy-Free Privacy-Preserving Task Matching with Efficient Revocation in Crowdsourcing

IEEE Transactions on Dependable and Secure Computing, 2021
Task matching in crowdsourcing has been extensively explored with the increasing popularity of crowdsourcing. However, privacy of tasks and workers is usually ignored in most of exiting solutions. In this paper, we study the problem of privacy-preserving
Jiangang Shu, Kan Yang, X. Jia, Ximeng Liu, Cong Wang, R. Deng   +5 more
semanticscholar   +1 more source

Pengaruh crowdsourcing dan representasi koleksi terhadap kredibilitas informasi pada museum di Indonesia

Berkala Ilmu Perpustakaan dan Informasi
Introduction. This research analyzes the influence of crowdsourcing and representation on the credibility of museum information in Indonesia. The aim of the research is to identify the effect of crowdsourcing on credibility, the effect of representation
Edi Wibowo, Tamara Adriani Salim
doaj   +1 more source

Risk Management in Crowdsourcing-Based Business Ecosystems [PDF]

Technology Innovation Management Review, 2013
The benefits of crowdsourcing are enabled by open environments where multiple external stakeholders contribute to a firm's outcomes. However, crowdsourcing typically has been examined as a general process and not from the specific perspective of a ...
Suchita Nirosh Kannangara, Peter Uguccioni   +1 more
doaj  

Location Privacy in Spatial Crowdsourcing

, 2017
Spatial crowdsourcing (SC) is a new platform that engages individuals in collecting and analyzing environmental, social and other spatiotemporal information.
A Liu, A Pham, Ashwin Machanavajjhala, Bo Zhang, C-Y Chow, Delphine Christin, Hien To, LATANYA SWEENEY, Lefeng Zhang, M Shin   +9 more
core   +1 more source

Multidexterity: Reframing Strategic Agility for Hyper‐Transformation

Strategic Change, EarlyView.
ABSTRACT Organizations experiencing hyper‐transformation—continuous, multidimensional, accelerated, and simultaneous organizational changes—face some limitations in traditional strategic agility and ambidexterity frameworks. Current strategic agility emphasizes rapid responsiveness but insufficiently addresses the nuanced management of varying speeds ...
Alessandro Lanteri
wiley   +1 more source

Structured crowdsourcing enables convolutional segmentation of histology images

Bioinform., 2019
Motivation While deep-learning algorithms have demonstrated outstanding performance in semantic image segmentation tasks, large annotation datasets are needed to create accurate models.
M. Amgad, H. Elfandy, Hagar Hussein, Lamees A. Atteya, Mai A T. Elsebaie, Lamia S. Abo Elnasr, R. Sakr, Hazem S. E. Salem, Ahmed F. Ismail, Anas M. Saad, Joumana Ahmed, Maha A. T. Elsebaie, Mustafijur Rahman, Inas A Ruhban, Nada M. Elgazar, Yahya Alagha, M. Osman, A. Alhusseiny, Mariam M. Khalaf, A. F. Younes, Ali Abdulkarim, Duaa M. Younes, A. Gadallah, A. Elkashash, S. Fala, B. Zaki, J. Beezley, D. Chittajallu, David Manthey, D. Gutman, L. Cooper   +30 more
semanticscholar   +1 more source

Dynamic Mobile Crowdsourcing Selection for Electricity Load Forecasting

IEEE Access, 2018
The continuous growth of mobile devices in recent years has created a variety of opportunities for people to utilize the crowdsourcing technique to execute various intelligent computing and processing tasks, e.g., electricity load forecasting.
Lianyong Qi, Wanchun Dou, Wenping Wang, Guangshun Li, Hairong Yu, Shaohua Wan   +5 more
doaj   +1 more source