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The study addresses limitations of classic models such as Big Five and MBTI, which offer too many dimensions for practical design. A method is proposed to distill use-case-specific personality features from user interactions. Participants converse with eight media-inspired characters and rate personalities, user experience, and task fit. Results identify fixed parameters and major dimensions for dynamic in-car assistant personalities, enabling customizable personalization requirements.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/identifying-personality-dimensions-for-digital-agents-research-and-method-for-in-car-speech-assistants/269478/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/identifying-personality-dimensions-for-digital-agents-research-and-method-for-in-car-speech-assistants/269478.png","ImageObject",300,407,{"name":92,"@type":93},"Stanford","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29","2026-09-15",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why do classic personality models like Big Five and MBTI not fit many assistant design use cases?","Question",{"text":112,"@type":113},"They contain too many dimensions, making them impractical as foundations for specific design scenarios where only a subset of traits is needed.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the proposed method derive personality dimensions for digital agents?",{"text":117,"@type":113},"It distills use-case-specific personality features from user interactions, using conversations with diverse, media-inspired characters and user ratings for personality and task fit.",{"name":119,"@type":110,"acceptedAnswer":120},"What outcome does the study report for in-car assistant personality design?",{"text":121,"@type":113},"It identifies fixed parameters and major dimensions for dynamic assistant personalities in an in-car environment, supporting both use-case requirements and dynamically customizable personalization.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},269478,1789452314,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144,"preview_page_count":4},2336477552062,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","Identifying Personality Dimensions for Digital Agents  \nMichael Braun and Florian Alt  \nAbstract More and more digital services rely on natural \"speech-first\" user interfaces. With this trend arriving across industries, personality design for digital assistants becomes relevant and along with it arises the fundamental problem of finding suitable personality dimensions. Classic personality models, like the Big Five Inventory or the MBTI, contain too many dimensions to be practicable foundations for many design use cases. We propose a method to distill use case specific personality features from user interactions with broadly diverse characters. In our study, participants conversed with eight characters inspired from popular media figures and rated their personalities as well as the user experience and fit to the task. Asa result, we identify fixed parameters and major dimensions for dynamic assistant personalities in an in-car environment. The presented method can be used to find out use case dependent requirements to an assistant personality as well as dynamically customizable personality features for personalization purposes.  \n1 Introduction  \nCurrent digital assistants can understand natural language and express information through speech synthesis [32] . However, up to now, most assistants lack an interpersonal level of communication which can be helpful to build a relationship with the user. Related research suggests that to become more widely accepted, such systems need to satisfy the expectations users have towards social interaction, like acting proactively and displaying personality [20, 25, 36] . People expect consistent behavior they can predict and which fits the environment they experience the assistant  \nMichael Braun  \nBMW Group Research, New Technologies, Innovations and LMU Munich, Munich, Germany, [e-mail: michael.bf.braun@bmw.de](e-mail: michael.bf.braun@bmw.de)  \nFlorian Alt  \nBundeswehr University and LMU Munich, Munich, Germany, e-mail: fl[orian.alt@unibw.de](orian.alt@unibw.de)  \n2 Michael Braun and Florian Alt  \nin [2] . Subjective perception of behavior leads to an allotment of personality traits, independent whether interacting with a person or a digital system [3] . Hence, assistants should be designed with their application area in mind, as personality traits can be perceived differently depending on the context. A risk-taking assistant might be acceptable in a casino, but not in a bank. An overly nice character, in contrast, might be fitting to call center agent but not to a security guard.  \nThe focus of this work lies in automotive user interfaces. Apart from minimizing driver distraction during manual driving [19, 30], speech interfaces also offer amore natural user experience (UX), compared to conventional UIs in cars [1], which is of particular interest in the transition towards automated driving [34] . In this study we aim to find suitable personality dimensions for an in-car assistant, as our research shows that voice assistants with personality can improve trust and likability in security critical contexts of driving [7] .  \n2 Related Work  \nThis work builds upon research on natural language interfaces and the potential benefits of voice assistants with explicitly designed personalities. Psychologists have investigated the perception of behavioral cues as personality markers for decades and in recent years the synthesis of characters for digital agents has been seeing more and more application areas. Intelligent agents with human personalities enable more joyful interaction between man and machine and a communication style which users know from everyday communication [2] .  \n2.1 Natural Interaction with Intelligent Agents  \nIntelligent agents are defined as software which is situated, autonomous, reactive, proactive, flexible, robust, and social [29] . While the spatial conjunction and autonomy make such a system intelligent, their core virtue is that they provide natural interaction. An agent with the cap","cbCaivUKBoqyWkzP","https://ap.wps.com/l/cbCaivUKBoqyWkzP","pdf",460056,15,"English","# Abstract\n# Introduction\n# Related Work\n## Natural Interaction with Intelligent Agents\n## In-Car Voice Assistants\n## Personalization of User Interfaces","[{\"question\":\"Why do classic personality models like Big Five and MBTI not fit many assistant design use cases?\",\"answer\":\"They contain too many dimensions, making them impractical as foundations for specific design scenarios where only a subset of traits is needed.\"},{\"question\":\"How does the proposed method derive personality dimensions for digital agents?\",\"answer\":\"It distills use-case-specific personality features from user interactions, using conversations with diverse, media-inspired characters and user ratings for personality and task fit.\"},{\"question\":\"What outcome does the study report for in-car assistant personality design?\",\"answer\":\"It identifies fixed parameters and major dimensions for dynamic assistant personalities in an in-car environment, supporting both use-case requirements and dynamically customizable personalization.\"}]","Identifying Personality Dimensions for Digital Agents - Research and Method for In-Car Speech Assistants | PDF",38]