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   https://doi.org/10.1038/s41598-019-48583-6  

   Waniek, Marcin; Zhou, Kai; Vorobeychik, Yevgeniy; Moro, Esteban; Michalak, Tomasz P.; Rahwan, Talal (December 2019, Scientific Reports)
2. Tracing One’s Touches: Continuous mobile user authentication based on touch dynamics

   Zhang, D.; Zhou, L.; Pisupati, S. (July 2019, Twenty-fifth Americas Conference on Information Systems)

   Despite that tremendous progress has been made in mobile user authentication (MUA) in recent years, continuous mobile user authentication (CMUA), in which authentication is performed continuously after initial login, remains under studied. In addition, although one-handed interaction with a mobile device becomes increasingly common, one-handed CMUA has never been investigated in the literature. There is a lack of investigation of the CMUA performance between one-handed and two-handed interactions. To fill the literature gap, we developed a new CMUA method based on touch dynamics of thumb scrolling on the touchscreen of a mobile device. We developed a mobile app of the proposed CMUA method and evaluated its effectiveness with data collected from a user study. The findings have implications for the design of effective CMUA using touch dynamics and for improvement of accessibility and usability of MUA mechanisms. 

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3. Artificial Intelligence and Impression Management: Consequences of Autonomous Conversational Agents Communicating on One’s Behalf

   https://doi.org/10.1093/hcr/hqac009  

   Endacott, Camille G.; Leonardi, Paul M. (April 2022, Human Communication Research)

   Abstract Artificially intelligent communication technologies (AICTs) that operate autonomously with high degrees of conversational fluency can make communication decisions on behalf of their principal users and communicate with those principals’ audiences on their behalf. In this study, we explore how the involvement of AICTs in communication activities shapes how principals engage in impression management and how their communication partners form impressions of them. Through an inductive, comparative field study of users of two AI scheduling technologies, we uncover three communicative practices through which principals engaged in impression management when AICTs communicate on their behalf: interpretation, diplomacy, and staging politeness. We also uncover three processes through which communication partners formed impressions of principals when communicating with them via AICTs: confirmation, transference, and compartmentalization. We show that communication partners can transfer impressions of AICTs to principals themselves and outline the conditions under which such transference is and is not likely. We discuss the implications of these findings for the study of technological mediation of impression management and formation in the age of artificial intelligence and present propositions to guide future empirical research. 

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4. Creativity in temporal social networks: how divergent thinking is impacted by one’s choice of peers

   https://doi.org/10.1098/rsif.2020.0667  

   Baten, Raiyan Abdul; Bagley, Daryl; Tenesaca, Ashely; Clark, Famous; Bagrow, James P.; Ghoshal, Gourab; Hoque, Ehsan (October 2020, Journal of The Royal Society Interface)

   null (Ed.)

   Creativity is viewed as one of the most important skills in the context of future-of-work. In this paper, we explore how the dynamic (self-organizing) nature of social networks impacts the fostering of creative ideas. We run six trials ( N = 288) of a web-based experiment involving divergent ideation tasks. We find that network connections gradually adapt to individual creative performances, as the participants predominantly seek to follow high-performing peers for creative inspirations. We unearth both opportunities and bottlenecks afforded by such self-organization. While exposure to high-performing peers is associated with better creative performances of the followers, we see a counter-effect that choosing to follow the same peers introduces semantic similarities in the followers’ ideas. We formulate an agent-based simulation model to capture these intuitions in a tractable manner, and experiment with corner cases of various simulation parameters to assess the generality of the findings. Our findings may help design large-scale interventions to improve the creative aptitude of people interacting in a social network. 

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5. Enacting machine agency when AI makes one’s day: understanding how users relate to AI communication technologies for scheduling

   https://doi.org/10.1093/jcmc/zmae011  

   Endacott, Camille_G; Ellison, ed., Nicole (July 2024, Journal of Computer-Mediated Communication)

   Abstract AI Communication Technologies (AICTs) make decisions about users’ communication on their behalf. Users’ implementation of AICTs that autonomously act may enable and constrain how they accomplish their work and interact with others. Drawing on interviews with users of two AICTs with differing levels of autonomy designed for work-related scheduling, this study investigated how users enacted AICTs in practice. Users of both tools drew on AICTs’ autonomous capabilities to enact machine agency, a structure that assigns AICTs the power to allocate resources, which helped them increase scheduling efficiency and guide how others interacted with them. Users of the tool that autonomously implemented decisions described a process of enactment in which they used the tool to control their work, perceived the tool was exhibiting too much control, and acted to regain control. I present implications for understanding how people enact machine agency with AICTs that make decisions about their work. 

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