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Articles 1 - 30 of 67
Full-Text Articles in Other Communication
Beyond Human Bonds: Understanding Relationship Development With Humanized Ai Companions, Maria Nikolajczyk, Elisa Maier, Julia Prawitz, Leyla Dogruel
Beyond Human Bonds: Understanding Relationship Development With Humanized Ai Companions, Maria Nikolajczyk, Elisa Maier, Julia Prawitz, Leyla Dogruel
Human-Machine Communication
This study investigates the development of relationships between humans and Humanized AI Companions (HACs), focusing on the chatbot Replika. Drawing on interpersonal relationship theories, we explore how these relationships evolve, emphasizing the role of self-disclosure and communication. Through 12 in-depth interviews with Replika users we reveal that users perceive HACs as emotionally supportive, nonjudgmental companions, fostering meaningful bonds despite the AI’s lack of true reciprocity. Relationship development follows stages similar to human relationships, with self-disclosure playing a key role in deepening intimacy. However, the relationships are often asymmetrical, with users deriving emotional benefits without expecting mutual exchange. Technical limitations, such …
Tool Or Social Actor? How Ai Perception And Interaction Modality Influence Perceived Credibility Of Communicative Ai Over Time, Stefanie H. Klein, Sonja Utz
Tool Or Social Actor? How Ai Perception And Interaction Modality Influence Perceived Credibility Of Communicative Ai Over Time, Stefanie H. Klein, Sonja Utz
Human-Machine Communication
People increasingly interact with conversational agents based on artificial intelligence (AI) for a variety of tasks. While these communicative AI (comAI) systems often produce responses that are natural and engaging, the information they provide is not always correct and unbiased. This makes it essential to understand how users perceive the credibility of such systems. Drawing on data from four waves of a longitudinal survey (NT1 = 618, NT4 = 485), we investigated how active users’ perceptions of comAI as a tool or social actor and their primary interaction modality (text vs. voice) influence the credibility perceptions of comAI, both cross-sectionally …
Gender And Task Alignment Influences The Credibility Of Feminine But Not Masculine Ai Conversational Assistants, Joana Videira, David Deandrea
Gender And Task Alignment Influences The Credibility Of Feminine But Not Masculine Ai Conversational Assistants, Joana Videira, David Deandrea
Human-Machine Communication
The present study investigated how the perceived gender of AI conversational assistants and the tasks they perform combine to influence perceptions of AI competence, trustworthiness, and goodwill (i.e., credibility). Participants evaluated AI assistants that appeared female or male and varied in the task they performed (stereotypically feminine or masculine task). Findings did not support an overall preference for female AI assistants over male AI assistants. Rather, perceived AI gender interacted with gender stereotypes associated with the task performed to affect perceptions of AI credibility. Notably, AI perceived to be very feminine had the highest credibility when performing stereotypically feminine tasks …
10 Questions To Fall In Love With A Chatbot: An Experimental Study On Interpersonal Closeness With Large Language Models (Llms), Jessica M. Szczuka, Lisa Mühl, Paula Ebner, Simon Dubé
10 Questions To Fall In Love With A Chatbot: An Experimental Study On Interpersonal Closeness With Large Language Models (Llms), Jessica M. Szczuka, Lisa Mühl, Paula Ebner, Simon Dubé
Human-Machine Communication
Large language models (LLMs), like ChatGPT, are able to compute affectionately nuanced text, which can be deployed in online dating or power artificial companions. This study explores whether people can experience intimate interest and interpersonal closeness toward a potential human or AI partner, based on such text. In a mock matchmaking scenario, 307 participants rated 10 text responses to the Interpersonal Closeness Generation Task from the dating profile of their potential partner, unaware that all were LLM-generated. Surprisingly, the source label (human or AI) had no significant impact on intimate interest and interpersonal closeness. Instead, the perceived quality and human-likeness …
Human-Machine Communication: Complete Volume. Volume 12
Human-Machine Communication: Complete Volume. Volume 12
Human-Machine Communication
This is the complete volume of HMC Volume 12.
Ai Humanizers, Pragmatists, Skeptics: A Cluster Analysis Of Normative Attitudes For Ai’S Capabilities And Roles, Kate K. Mays, Ekaterina Novozhilova
Ai Humanizers, Pragmatists, Skeptics: A Cluster Analysis Of Normative Attitudes For Ai’S Capabilities And Roles, Kate K. Mays, Ekaterina Novozhilova
Human-Machine Communication
This study explores people’s attitudes about artificial intelligence’s (AI) capabilities through a normative lens. Drawing from literature on phenomenological, ontological, and heuristic judgments about machines, we aim to better understand what capabilities people think AI should be able to have and how that relates to enthusiasm about having AI take certain roles in their lives. Survey participants (N = 601) were grouped via two-step clustering based on their attitudes, revealing three clusters: AI humanizers, who expect empathy and social interaction from AI; AI pragmatists, who expect cognitive capabilities; and AI skeptics, who prefer AI with limited human-like traits and emphasize …
Two Years To Madness: A 30-Month Journal Of Human–Machine Communication And Second-Hand Reality, Andrew Prahl
Two Years To Madness: A 30-Month Journal Of Human–Machine Communication And Second-Hand Reality, Andrew Prahl
Human-Machine Communication
Drawing on a 30-month analytic-autoethnography of the first author’s journal as an earlyaccess OpenAI user, this study examines how sustained communication with generative AI affects everyday lived experience and identity. Inductive content analysis of 166 entries by independent coders is followed by theory-driven coding with the extended-mind and sensemaking frameworks. Three interlocking themes emerge. Enabled and Degraded captures the tension between new capabilities and efficiency versus creeping skill atrophy. Scary New World charts rising anxiety as productivity gains erode competitive and relational distinctiveness. The findings also show a growing, pervasive doubt about the human authorship of texts, images, and other …
The Material Condition: A Practice Theory-Oriented Infrastructural Turn To The Ethics Of Human-Ai Communication, Anne Mollen, Sigrid Kannengießer
The Material Condition: A Practice Theory-Oriented Infrastructural Turn To The Ethics Of Human-Ai Communication, Anne Mollen, Sigrid Kannengießer
Human-Machine Communication
This paper calls for an infrastructural turn in human–AI communication, centered on the materiality of generative AI. We argue that a nuanced understanding of ethical implications of generative AI necessitates examining the socio-technical infrastructures that constitute these systems. These infrastructures encompass not only technological artifacts but also human actors (developers, users, data subjects, etc.) and their practices as well as social contexts in designing, developing, implementing, and maintaining AI. Therefore, we propose to adopt a practice theory approach, to analyze how ethical concerns materialize within these infrastructures. This perspective reveals how infrastructures are contested spaces in global production chains, highlighting …
Whole Earth Machines: Human-Machine Communication For A Green Transition, Klaus Bruhn Jensen
Whole Earth Machines: Human-Machine Communication For A Green Transition, Klaus Bruhn Jensen
Human-Machine Communication
The climate crisis of the 21st century represents an existential risk to humanity and biodiversity, posing essential questions of how communication may serve to coordinate mitigation of and adaptation to climate change. One recent response has been massive investments by governments and corporations in systems providing feedback on the state of Earth— Whole Earth Machines (WEMs). For human-machine communication (HMC) studies, WEMs invite sustained engagement with communication infrastructures as a key constituent of research agendas, beyond the interface encounters at the center of many HMC studies to date. The article presents a conceptualization and operationalization of WEMs as critical infrastructures …
Human-Machine Communication: Complete Volume. Volume 11
Human-Machine Communication: Complete Volume. Volume 11
Human-Machine Communication
This is the complete volume of HMC Volume 11.
Disentangling (Hybrid) Trustworthiness Of Communicative Generative Ai As Intermediary For Science-Related Information—Results From A Qualitative Interview Study, Evelyn Jonas, Esther Greussing, Monika Taddicken
Disentangling (Hybrid) Trustworthiness Of Communicative Generative Ai As Intermediary For Science-Related Information—Results From A Qualitative Interview Study, Evelyn Jonas, Esther Greussing, Monika Taddicken
Human-Machine Communication
The increasing prevalence of communicative Generative AI, such as ChatGPT, highlights their transformative potential for science communication while raising critical questions about users’ trust in these systems conveying science-related information. As perceptual hybrids these agents challenge traditional notions of trustworthiness, and it remains unclear to whom or what users refer to as the object of trust. This qualitative interview study integrates dimensions from human-machine and epistemic trustworthiness within a hybrid framework, complemented by a descriptive source orientation model. It highlights that trustworthiness assessments can extend beyond a chatbot’s interface, emphasizing the perceived salience of its underlying infrastructure, developers, and organizations. …
Coding Openai In An Open-Sourced Code Sharing Platform: Exploring The Collaboration Networks On Chatgpt Projects On Github, Jingyi Pu, Xinzhi Zhang
Coding Openai In An Open-Sourced Code Sharing Platform: Exploring The Collaboration Networks On Chatgpt Projects On Github, Jingyi Pu, Xinzhi Zhang
Human-Machine Communication
Amid rapid advancements in generative AI (GenAI) tools, individuals and organizations—including both professional and amateur developers—are actively sharing and collaboratively developing GenAI code on open-source platforms, driving the adaptation and creation of new applications. However, it remains unclear whether such collaboration disrupts existing technological hierarchies or reinforces them; addressing this question is crucial for assessing the democratizing potential of open-source practice and informing policies for equitable innovation. Drawing on world-systems theory, we examine owner-contributor networks in ChatGPT-related GitHub repositories since ChatGPT’s launch in late 2022, complemented by qualitative content analysis of major repository themes and code functions. We find that …
Use Matters: How Different Ways Of Using Chatgpt Drive Ai Acceptance And Solutionism, Florian Golo Flaßhoff, Fabian Anicker, Frank Marcinkowski
Use Matters: How Different Ways Of Using Chatgpt Drive Ai Acceptance And Solutionism, Florian Golo Flaßhoff, Fabian Anicker, Frank Marcinkowski
Human-Machine Communication
Artificial intelligence is central to solutionism—the vision of a world where all major problems are solved through technology. This study theorizes about how human–AI communication shapes attitudes toward AI and influences the formation of public opinion, sparking solutionist imaginaries. We empirically examine the attitude formation resulting from the non-simulated use of an unmanipulated conversational model in a controlled laboratory experiment. Using a between-subjects design, participants engaged in three semi-structured 20-minute sessions with ChatGPT, providing a novel perspective on the effects of its use. The findings reveal that mere use of ChatGPT causally increases AI acceptance; however, its impact significantly depends …
Generative Ai: Another Chapter Of Human-Machine Communication, Seungahn Nah, Patric R. Spence
Generative Ai: Another Chapter Of Human-Machine Communication, Seungahn Nah, Patric R. Spence
Human-Machine Communication
This editorial introduces a special issue of Human-Machine Communication that explores how generative AI reshapes the communicative relationship between humans and machines. It highlights emerging research on technology use, education, interpersonal dynamics, and trust in AI-generated content, emphasizing that generative AI’s significance lies not in novelty but in the social negotiations it provokes around meaning, authority, and credibility.
Human-Machine Communication: Complete Volume. Volume 10
Human-Machine Communication: Complete Volume. Volume 10
Human-Machine Communication
This is the complete volume of HMC Volume 10.
A Systematic Review Of The Effects Of Ai-Assisted Moderation On Individuals And Groups, Zehui Yu, Lukas Otto, Dennis Assenmacher, Claudia Wagner
A Systematic Review Of The Effects Of Ai-Assisted Moderation On Individuals And Groups, Zehui Yu, Lukas Otto, Dennis Assenmacher, Claudia Wagner
Human-Machine Communication
This review paper provides a conceptualization of AI-assisted content moderation with various degrees of autonomy and summarizes experimental evidence for how different levels of automation in content moderation and related losses of autonomy affect individuals and groups. Our results show that current research predominantly focuses on individuallevel effects, necessitating a shift toward understanding the impact on groups. The study highlights gaps in exploring different levels of AI-assisted moderation interventions and misalignments of different conceptualizations that make comparing research results difficult. The discussion underscores the prevailing emphasis on harmful content removal and advocates for investigating more constructive moderation techniques, emphasizing the …
Towards Human-Machine Collaboration In Autonomous Material Handling On Construction Sites, Jyrki Oraskari, Lukas Kirner, Marit Zöcklein, Sigrid Brell-Cokcan
Towards Human-Machine Collaboration In Autonomous Material Handling On Construction Sites, Jyrki Oraskari, Lukas Kirner, Marit Zöcklein, Sigrid Brell-Cokcan
Human-Machine Communication
In the contemporary construction industry, the shortage of skilled labor has prompted the exploration of automation as a remedy and machine autonomy as a potential solution to the environmental conditions at the site. This research explores the balance between human oversight and the independent decision-making capabilities of robots for material delivery on construction sites. Using a scenario-based approach, autonomy in construction robotics is evaluated across four human-machine interaction cases with spatial and temporal dimensions. The expected outcomes revolve around improved safety through better human-machine communication and establishing an interoperable data model to enhance robot autonomy. This aims to automate tasks …
Accomplishing Robotic Autonomy: The Complexities Of Sociotechnical Care And Agency In The Laboratory, Yifan Xu, Elliott Hauser
Accomplishing Robotic Autonomy: The Complexities Of Sociotechnical Care And Agency In The Laboratory, Yifan Xu, Elliott Hauser
Human-Machine Communication
Effective ethical interventions in emerging technologies such as robotic autonomy demand situated understandings of the practices that shape them. Drawing upon a year of participatory ethnography, this study examines the sociomaterial practices used to accomplish robotic agency in an engineering research laboratory. Ironically, the robot was often a helpless, even pathetic, figure. Roboticists displayed an attitude of surprisingly genuine, diligent, and self-effacing care toward the robot as they helped enable it to perform basic competencies such as picking up a bottle. Using a practice theory, we show how roboticists’ care practices, motivated and sustained by anticipatory narratives of robotic agency, …
Wired To Offend: Cancel Culture Meets Generative Artificial Intelligence, Andrew Prahl, Shanice Koh Jie Qing, Justina Tan Ann Qi
Wired To Offend: Cancel Culture Meets Generative Artificial Intelligence, Andrew Prahl, Shanice Koh Jie Qing, Justina Tan Ann Qi
Human-Machine Communication
Cancel culture has been limited to individuals and corporations being cancelled. However, AI is also getting cancelled, challenging our understanding of machine autonomy and cancel culture. This paper investigates how AI cancellation is discussed on X (Twitter) using a recent AI cancellation incident involving Nothing, Forever, an AI-generated parody of Seinfeld. Qualitative content analysis is performed on 734 relevant posts to extract the main categories dominating the discourse, including emotional expression, attitudes toward AI, and discussion of human versus AI qualities. The results provide insights regarding how people perceive the autonomy of AI and who is responsible for AI output.
Autonomy And Agency In Farming: Exploring Human, Machine, And Animal Dynamics, Ricarda Drüeke, Corinna Peil
Autonomy And Agency In Farming: Exploring Human, Machine, And Animal Dynamics, Ricarda Drüeke, Corinna Peil
Human-Machine Communication
Human-Machine Communication is reshaping the agricultural sector as digital technologies and automated systems transform farms into complex communicative environments. Farms, which serve as both workplaces and living spaces, uniquely integrate these technologies, yet their impact on farmers’ daily practices, labor, and decision-making remains underexplored. Through an ethnographic approach involving qualitative interviews and farm visits in Austria and southern Germany, the study investigates the interactions among farmers, automated technologies, smart devices, and animals. Using Actor-Network Theory, the redistribution of labor and agency in smart farming is explored. This analysis examines two forms of human-machine relations: the dynamics of automation and autonomy …
Four Notions Of Autonomy. Pitfalls Of Conceptual Pluralism In Contemporary Debates, Roman Wagner, Bert Heinrichs
Four Notions Of Autonomy. Pitfalls Of Conceptual Pluralism In Contemporary Debates, Roman Wagner, Bert Heinrichs
Human-Machine Communication
The concept of autonomy is indispensable in the history of Western thought. At least that’s how it seems to us nowadays. However, the notion has not always had the outstanding significance that we ascribe to it today and its exact meaning has also changed considerably over time. In this paper, we want to shed light on different understandings of autonomy and clearly distinguish them from each other. Our main aim is to contribute to conceptual clarity in (interdisciplinary) discourses and to point out possible pitfalls of conceptual pluralism.
"There Is No Such Thing As A Machine That Acts Outside Of Relations With Humans”, Lucy Suchman, Caja Thimm
"There Is No Such Thing As A Machine That Acts Outside Of Relations With Humans”, Lucy Suchman, Caja Thimm
Human-Machine Communication
Starting with her early works on “Talk with Machines” (1986, republished in 2021) and her books Plans and Situated Actions: The Problem of Human-Machine Communication (1987) and Human-Machine Reconfigurations (2007a), Lucy Suchman not only opened up a new domain of scientific interest in humans and technology, but also showed how the scope of human machine relations needs to be reconceptualized. With her most recent works (2023a, 2023b), she not only widens the perspective on the contexts for machine usage, particularly by the military, but she also gives insights on how to conceptualize AI in terms of its ontological status and …
From Automation To Autonomy: Human Machine Relations In The Age Of Artificial Intelligence, Caja Thimm, Gabriele Gramelsberger, Maximilian Mayer, Frank T. Piller
From Automation To Autonomy: Human Machine Relations In The Age Of Artificial Intelligence, Caja Thimm, Gabriele Gramelsberger, Maximilian Mayer, Frank T. Piller
Human-Machine Communication
The shift from automation to autonomy marks a new chapter in human-machine relations, especially in the context of the expanding and diversifying applications of Artificial Intelligence (AI). As machines gain capabilities that resemble autonomous agency, the boundary between human and machine autonomy blurs, challenging traditional concepts of agency, control, and independence. This special issue examines the multidisciplinary perspectives on autonomy in the digital age, addressing the complexities of attributing autonomy to machines and AI systems. Philosophical, sociological, and technical approaches converge to explore how emerging forms of machine autonomy impacts human agency, freedom, and decision-making, with applications spanning from autonomous …
What Hmc Teaches Us About Authenticity, Katrin Etzrodt, Jihyun Kim, Margot Van Der Goot, Andrew Prahl, Mina Choi, Matthew Craig, Marco Dehnert, Sven Engesser, Katharina Frehmann, Luis A. Grande, Jindong Liu, Diyi Liu, Sandra Mooshammer, Nathan Rambukkana, Ayanda Rogge, Pieta Sikström, Rachel Son, Nan J. Wilkenfeld, Kun Xu, Renwen Zhang, Ying Zhu, Chad Edwards
What Hmc Teaches Us About Authenticity, Katrin Etzrodt, Jihyun Kim, Margot Van Der Goot, Andrew Prahl, Mina Choi, Matthew Craig, Marco Dehnert, Sven Engesser, Katharina Frehmann, Luis A. Grande, Jindong Liu, Diyi Liu, Sandra Mooshammer, Nathan Rambukkana, Ayanda Rogge, Pieta Sikström, Rachel Son, Nan J. Wilkenfeld, Kun Xu, Renwen Zhang, Ying Zhu, Chad Edwards
Human-Machine Communication
This paper delves into what the application of authenticity to Human-Machine Communication (HMC) can teach us about authenticity and us as HMC researchers and as a com- munity. Inspired by the 2023 pre-conference “HMC: Authenticity in communicating with machines,” two central questions guide the discussion: How does HMC contribute to our understanding of authentic communication with machines? And how can the concept of authenticity contribute to our sense of self as researchers within the HMC field? Through the collaborative effort of 22 authors, the paper explores the re-conceptualization of authenticity and presents recent areas of tension that guide the HMC …
Authentic Impediments: The Influence Of Identity Threat, Cultivated Perceptions, And Personality On Robophobia, Kate K. Mays
Authentic Impediments: The Influence Of Identity Threat, Cultivated Perceptions, And Personality On Robophobia, Kate K. Mays
Human-Machine Communication
Considering possible impediments to authentic interactions with machines, this study explores contributors to robophobia from the potential dual influence of technological features and individual traits. Through a 2 x 2 x 3 online experiment, a robot’s physical human-likeness, gender, and status were manipulated and individual differences in robot beliefs and personality traits were measured. The effects of robot traits on phobia were non-significant. Overall, subjective beliefs about what robots are, cultivated by media portrayals, whether they threaten human identity, are moral, and have agency were the strongest predictors of robophobia. Those with higher internal locus of control and neuroticism, and …
What’S In A Name And/Or A Frame? Ontological Framing And Naming Of Social Actors And Social Responses, David Westerman, Michael Vosburg, Xinyue Liu, Patric R. Spence
What’S In A Name And/Or A Frame? Ontological Framing And Naming Of Social Actors And Social Responses, David Westerman, Michael Vosburg, Xinyue Liu, Patric R. Spence
Human-Machine Communication
Artificial intelligence (AI) is fundamentally a communication field. Thus, the study of how AI interacts with us is likely to be heavily driven by communication. The current study examined two things that may impact people’s perceptions of socialness of a social actor: one nonverbal (ontological frame) and one verbal (providing a name) with a 2 (human vs. robot) x 2 (named or not) experiment. Participants saw one of four videos of a study “host” crossing these conditions and responded to various perceptual measures about the socialness and task ability of that host. Overall, data were consistent with hypotheses that whether …
In Seal We Trust? Investigating The Effect Of Certifications On Perceived Trustworthiness Of Ai Systems, Magdalena Wischnewski, Nicole Krämer, Christian Janiesch, Emmanuel Müller, Theodor Schnitzler, Carina Newen
In Seal We Trust? Investigating The Effect Of Certifications On Perceived Trustworthiness Of Ai Systems, Magdalena Wischnewski, Nicole Krämer, Christian Janiesch, Emmanuel Müller, Theodor Schnitzler, Carina Newen
Human-Machine Communication
Trust certification through so-called trust seals is a common strategy to help users ascertain the trustworthiness of a system. In this study, we examined trust seals for AI systems from two perspectives: (1) In a pre-registered online study participants, we asked whether trust seals can increase user trust in AI systems, and (2) qualitatively, we investigated what participants expect from such AI seals of trust. Our results indicate mixed support for the use of AI seals. While trust seals generally did not affect the participants’ trust, their trust in the AI system increased if they trusted the seal-issuing institution. Moreover, …
Doctor Who?: Norms, Care, And Autonomy In The Attitudes Of Medical Students Towards Ai Pre And Post Chatgpt, Andrew Prahl, Kevin Tong Weng Jin
Doctor Who?: Norms, Care, And Autonomy In The Attitudes Of Medical Students Towards Ai Pre And Post Chatgpt, Andrew Prahl, Kevin Tong Weng Jin
Human-Machine Communication
This study adopts the combined TAM-TPB model to investigate attitudes and expectations of machines at a pre-career stage. We study how future doctors (medical students) expect to interact with future AI machinery, what AI usage norms will develop, and beliefs about human and machine autonomy. Semi-structured interviews were conducted. Wave one occurred six-months prior to the public release of ChatGPT; wave two occurred in the 6 months following. Three themes emerged: AI is tomorrow, wishing for the AI ouvrier, and human contrasts. Two differences were noted pre- versus post-ChatGPT: (1) participants began to view machinery instead of themselves as the …
External And Internal Attribution In Human-Agent Interaction: Insights From Neuroscience And Virtual Reality, Nina Lauharatanahirun, Andrea Won, Angel Hsing-Chi Hwang
External And Internal Attribution In Human-Agent Interaction: Insights From Neuroscience And Virtual Reality, Nina Lauharatanahirun, Andrea Won, Angel Hsing-Chi Hwang
Human-Machine Communication
Agents are designed in the image of humans, both internally and externally. The internal systems of agents imitate the human brain, both at the levels of hardware (i.e., neuromorphic computing) and software (i.e., neural networks). Furthermore, the external appearance and behaviors of agents are designed by people and based on human data. Sometimes, these humanlike qualities of agents are purposely selected to increase their social influence over human users, and sometimes the human factors that influence perceptions of agents are hidden. Inspired by Blascovich’s “threshold of social influence’, a model designed to explain the effects of different methods of anthropomorphizing …
The Impact Of Human-Ai Relationship Perception On Voice Shopping Intentions, Marisa Tschopp, Kai Sassenberg
The Impact Of Human-Ai Relationship Perception On Voice Shopping Intentions, Marisa Tschopp, Kai Sassenberg
Human-Machine Communication
In the emerging field of voice shopping with quasi-sales agents like Amazon's Alexa, we investigated the influence of perceived human-AI relationships (i.e., authority ranking, market pricing, peer bonding) on (voice-)shopping intentions. In our cross-sectional survey among experienced voice shoppers, we tested hypotheses specifically differentiating voice shopping for low- and high-involvement products. The results emphasized the importance of socio-emotional elements (i.e., peer bonding) for voice shopping for high-involvement products. While calculative decision-making (i.e., market pricing) was less relevant, the master-servant relationship perception (i.e., authority ranking) was important in low-involvement shopping. An exploratory analysis of users’ desired benefits of voice shopping reinforces …