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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/24372245466b5c2aea9ed552c372e0c5e/iris",         
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         "label" : "Emergently Misaligned Language Models Show Behavioral Self-Awareness That Shifts With Subsequent Realignment",
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         "author": [ 
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            	{"first" : "Anietta",	"last" : "Weckauff"},
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         "archiveprefix" : "arXiv",
         
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         "author": [ 
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            	{"first" : "Tabea",	"last" : "Berberena"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
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         "label" : "Momentary emotional states and trust in a faulty chatbot: An experimental study",
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         "author": [ 
            "Tabea Berberena","Maria Wirzberger"
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            	{"first" : "Tabea",	"last" : "Berberena"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
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         "author": [ 
            "Cornelia Sindermann","Maria Wirzberger"
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            	{"first" : "Cornelia",	"last" : "Sindermann"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/27215cd310abc7fc509eea0b27a6075a2/iris",         
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         "label" : "The Impact of User Momentary Emotional State on Trust in a Faulty Chatbot",
         "user" : "iris",
         "description" : "",
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         "url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4924934", 
         
         "author": [ 
            "Tabea Berberena","Maria Wirzberger"
         ],
         "authors": [
         	
            	{"first" : "Tabea",	"last" : "Berberena"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
         ],
         "abstract": "Chatbots have become increasingly prevalent in our daily lives. Research shows that, while some users trust such technology even with sensitive information, others refuse to rely on this technology for support. When explaining trust in such technology, existing human-technology trust approaches are overlooking factors like users\u2019 emotional states. This three-part experimental study in a real-world setting examines the influence emotional states have on trusting a faulty chatbot. Participants interacted with a chatbot in part one of the study to schedule an appointment some days later for part two. Upon arrival for part two, participants were informed of a mistake in scheduling their appointment. The experimental manipulation consisted of fault attribution to the chatbot in one group, whereas no attribution to fault in the other group. In part three, participants then chose to either schedule a new appointment using the same chatbot or email. A total of N= 58 participants participated in the first part of the study, while a total of N= 30 participants completed the study. The main finding indicates that a more positive momentary emotional state towards the chatbot was related to higher self-reported trust, even after the chatbot made a mistake. However, trust did not affect trusting behavior afterwards. Considering these findings, we contribute theoretical advances to the existing trust research landscape in a setting relevant for everyday life. We also discuss potential explanations for the resulting pattern of effects and implications on chatbot design for the role of emotional states when trusting chatbots.",
         "bibtexKey": "berberena2024impact"

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         "label" : "Performance Expectancy Benefits Acceptance Towards Digital Self-Control Support",
         "user" : "iris",
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         "date" : "2024-08-25 17:04:36",
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         "url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4924933", 
         
         "author": [ 
            "Maria Wirzberger","Laura Bareiß","Veronika Herbst","Adrian Stock","Jule Kembitzky"
         ],
         "authors": [
         	
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Laura",	"last" : "Bareiß"},
            	{"first" : "Veronika",	"last" : "Herbst"},
            	{"first" : "Adrian",	"last" : "Stock"},
            	{"first" : "Jule",	"last" : "Kembitzky"}
         ],
         "abstract": "Advanced digitization and related information overload foster the prevalence of disruptive stimuli that constantly challenge people in learning and working contexts. The high variety of potential distractions increasingly reduces attention and subsequently minimizes capacities for productive study and work habits. Addressing this challenge, digital tools can support people with resisting situational temptations and keeping focused on meaningful tasks by incorporating features such as timing, rewards, or feedback. While they hold benefits for users\u2019 focused behavior, distraction management, and motivation, existing research also shows hesitation towards using such tools at all. Taking the recently introduced software focUS as an example, the present research investigates in more detail, which factors can foster or hinder users\u2019 acceptance towards digital self-control support. A sample of 96 adult volunteers completed an online survey based on the Unified Theory of Acceptance and Use of Technology (UTAUT) to identify under what circumstances they would be willing to use the previously introduced software tool. Results indicate expected performance gains to be an important predictor to consider when presenting novel technological assistance to potential target groups.",
         "bibtexKey": "wirzberger2024performance"

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         "label" : "Hooked on artificial agents: a systems thinking perspective",
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         "date" : "2024-08-12 12:42:36",
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         "journal": "Frontiers in Behavioral Economics",
         "year": "2023", 
         "url": "", 
         
         "author": [ 
            "Ivan Ðula","Tabea Berberena","Ksenia Keplinger","Maria Wirzberger"
         ],
         "authors": [
         	
            	{"first" : "Ivan",	"last" : "Ðula"},
            	{"first" : "Tabea",	"last" : "Berberena"},
            	{"first" : "Ksenia",	"last" : "Keplinger"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
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         "volume": "2","pages": "1223281","abstract": "Following recent technological developments in the artificial intelligence space, artificial agents are increasingly taking over organizational tasks typically reserved for humans. Studies have shown that humans respond differently to this, with some being appreciative of their advice (algorithm appreciation), others being averse toward them (algorithm aversion), and others still fully relinquishing control to artificial agents without adequate oversight (automation bias). Using systems thinking, we analyze the existing literature on these phenomena and develop a conceptual model that provides an underlying structural explanation for their emergence. In doing so, we create a powerful visual tool that can be used to ground discussions about the impact artificial agents have on organizations and humans within them.",
         "doi" : "10.3389/frbhe.2023.1223281",
         
         "bibtexKey": "dula2023hooked"

      }
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         "author": [ 
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         ],
         "authors": [
         	
            	{"first" : "Ivan",	"last" : "Ðula"},
            	{"first" : "Tabea",	"last" : "Berberena"},
            	{"first" : "Ksenia",	"last" : "Kepliner"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
         ],
         "volume": "2","pages": "1223281","abstract": "Following recent technological developments in the artificial intelligence space, artificial agents are increasingly taking over organizational tasks typically reserved for humans. Studies have shown that humans respond differently to this, with some being appreciative of their advice (algorithm appreciation), others being averse toward them (algorithm aversion), and others still fully relinquishing control to artificial agents without adequate oversight (automation bias). Using systems thinking, we analyze the existing literature on these phenomena and develop a conceptual model that provides an underlying structural explanation for their emergence. In doing so, we create a powerful visual tool that can be used to ground discussions about the impact artificial agents have on organizations and humans within them.",
         "doi" : "10.3389/frbhe.2023.1223281",
         
         "bibtexKey": "dula2023hooked"

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