{"id":56937,"date":"2023-07-27T10:03:15","date_gmt":"2023-07-27T09:03:15","guid":{"rendered":"https:\/\/www.eye-square.com\/en\/?page_id=56937"},"modified":"2026-02-03T17:15:15","modified_gmt":"2026-02-03T16:15:15","slug":"ai-experience-lab-eye-square","status":"publish","type":"page","link":"https:\/\/www.eye-square.com\/en\/ai-experience-lab-eye-square\/","title":{"rendered":"AI Experience Lab"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column]\n\t\t\t\t<p class=\"rs-p-wp-fix\"><\/p>\n\t\t\t\t<sr7-module data-alias=\"AIX-SLIDER\" data-id=\"333\" id=\"SR7_333_1\" class=\"rs-ov-hidden\" data-version=\"6.7.55\">\n\t\t\t\t\t<sr7-adjuster><\/sr7-adjuster>\n\t\t\t\t\t<sr7-content>\n\t\t\t\t\t\t<sr7-slide id=\"SR7_333_1-419\" data-key=\"419\">\n\t\t\t\t\t\t\t<sr7-txt id=\"SR7_333_1-419-23\" class=\"sr7-layer\">The AIX Lab<\/sr7-txt>\n\t\t\t\t\t\t\t<sr7-txt id=\"SR7_333_1-419-26\" class=\"sr7-layer\">Exploring artificial intelligence as a research topic and an area of opportunity<\/sr7-txt>\n\t\t\t\t\t\t\t<a id=\"SR7_333_1-419-27\" class=\"sr7-layer\" href=\"https:\/\/www.eye-square.com\/en\/ai-experience-lab-eye-square\/#contact\" target=\"_self\">Get in touch<\/a>\n\t\t\t\t\t\t<\/sr7-slide>\n\t\t\t\t\t\t<sr7-slide id=\"SR7_333_1-641\" data-key=\"641\">\n\t\t\t\t\t\t<\/sr7-slide>\n\t\t\t\t\t<\/sr7-content>\n\t\t\t\t\t<image_lists style=\"display:none\">\n\t\t\t\t\t\t<img data-src=\"\/\/www.eye-square.com\/en\/wp-content\/uploads\/sites\/4\/2023\/07\/Woman_Technology-1.png\" data-libid=\"57007\" title=\"Woman_Technology-1\" width=\"0\" height=\"0\" data-dbsrc=\"Ly93d3cuZXllLXNxdWFyZS5jb20vZW4vd3AtY29udGVudC91cGxvYWRzL3NpdGVzLzQvMjAyMy8wNy9Xb21hbl9UZWNobm9sb2d5LTEucG5n\"\/>\n\t\t\t\t\t<\/image_lists>\n\t\t\t\t<\/sr7-module>\n\t\t\t\t<script>\n\t\t\t\t\twindow.SR7 ??={};SR7.PMH ??={}; SR7.PMH[\"SR7_333_1\"] = {cn:100,state:false,fn: function() { if (window._tpt!==undefined && window._tpt.prepareModuleHeight !== undefined) {  _tpt.prepareModuleHeight({id:\"SR7_333_1\",el:[500,500,500,500,400],type:'standard',shdw:'0',gh:[500,500,500,500,400],gw:[1240,1240,1240,1240,480],vpt:['-200px&#039;,&#039;-200px&#039;,&#039;-200px&#039;,&#039;-200px&#039;,&#039;-200px'],size:{fullWidth:true, fullHeight:false},mh:'0',onh:0,onw:0,bg:{color:'{\"orig\":\"transparent\",\"type\":\"solid\",\"string\":\"transparent\"}'},googleFont:\"ignore\"});   SR7.PMH[\"SR7_333_1\"].state=true;} else if(SR7.PMH[\"SR7_333_1\"].cn-->0)\tsetTimeout( SR7.PMH[\"SR7_333_1\"].fn,19);}};SR7.PMH[\"SR7_333_1\" ].fn();\n\t\t\t\t<\/script>\n[\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; css=&#8221;.vc_custom_1710274255520{background-color: #f1f1f9 !important;}&#8221;][vc_column offset=&#8221;vc_hidden-lg vc_hidden-md vc_hidden-sm&#8221;][vc_empty_space height=&#8221;80px&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_column_text css=&#8221;.vc_custom_1710277976691{padding-bottom: 0.5em !important;}&#8221;]<\/p>\n<h1 id=\"-art_h-sub\" class=\"h--t_is-l t_is-medium t_is-cyan\" style=\"text-align: left\"><strong><br \/>\nThe eye square AIX Lab<\/strong><\/h1>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_column_text css=&#8221;.vc_custom_1710272762400{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\">In a world of shift towards artificial intelligence, it was of high importance for us, as a company, to open our own eye square <strong>AI Experience Lab!<\/strong>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1710257640647{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\">eye square\u2019s\u202f AIX Lab doesn\u2019t only look at how humans experience the interaction with AI, but also how AI appliances can be shaped to serve consumer requirements best. It delves into AI\u2019s role in various areas such as chatbots, autonomous assistants, and interactive ads in the Metaverse or Social media.<\/p>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;50px&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_column_text]<\/p>\n<p style=\"color: #007fff;line-height: 1;font-size: 2rem;font-weight: 600;text-align: left\">Our work on AI is based on two pillars:<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;.vc_custom_1710273501024{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\"><strong>AI as a research subject:<\/strong> How do people experience the interaction with AI? Based on our AI Experience Model, we plan empirical research focused on measuring the experience of interacting with AI.<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;.vc_custom_1710257700115{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\"><strong>The second pillar<\/strong> focuses on exploring any <strong>new AI tools<\/strong> based on <strong>ChatGPT<\/strong> and how we may (or may not) use them in our daily research work.<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_empty_space height=&#8221;50px&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text]<\/p>\n<p style=\"color: #007fff;line-height: 1;font-size: 2rem;font-weight: 600;text-align: left\">Topics in depth<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;2\/3&#8243;][vc_column_text]<div id=\"accordions-60294\" class=\"accordions-60294 accordions\" data-accordions={&quot;lazyLoad&quot;:true,&quot;id&quot;:&quot;60294&quot;,&quot;event&quot;:&quot;click&quot;,&quot;collapsible&quot;:&quot;true&quot;,&quot;heightStyle&quot;:&quot;content&quot;,&quot;animateStyle&quot;:&quot;swing&quot;,&quot;animateDelay&quot;:1000,&quot;navigation&quot;:true,&quot;active&quot;:999,&quot;expandedOther&quot;:&quot;no&quot;}>\r\n                <div id=\"accordions-lazy-60294\" class=\"accordions-lazy\" accordionsId=\"60294\">\r\n                    <\/div>\r\n\r\n    <div class=\"items\"  style=\"display:none\" >\r\n    \r\n            <div post_id=\"60294\" itemcount=\"0\"  header_id=\"header-1680698502240\" id=\"header-1680698502240\" style=\"\" class=\"accordions-head head1680698502240 border-none\" toggle-text=\"\" main-text=\"What does the AIX Lab do?\">\r\n                                    <span id=\"accordion-icons-1680698502240\" class=\"accordion-icons\">\r\n                        <span class=\"accordion-icon-active accordion-plus\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\r\n                        <span class=\"accordion-icon-inactive accordion-minus\"><i class=\"fas fa-chevron-right\"><\/i><\/span>\r\n                    <\/span>\r\n                    <span id=\"header-text-1680698502240\" class=\"accordions-head-title\">What does the AIX Lab do?<\/span>\r\n                            <\/div>\r\n            <div class=\"accordion-content content1680698502240 \">\r\n                \n<p>eye square\u2019s research methods can of course also be used for analyzing AI-generated contents or services, no matter if it is texts, ads, videos or websites. When we started the AIX Lab, however, we wanted to work on two areas of expertise: Understanding how LLMs and Gen-AI can be used for our research work and how they might change our company and the industry. And secondly, always eye square\u2019s central mission: To dive into the experience of users and consumers when it comes to AI.<\/p>\n            <\/div>\r\n    \r\n            <div post_id=\"60294\" itemcount=\"1\"  header_id=\"header-1680698536375\" id=\"header-1680698536375\" style=\"\" class=\"accordions-head head1680698536375 border-none\" toggle-text=\"\" main-text=\"AI in market research\">\r\n                                    <span id=\"accordion-icons-1680698536375\" class=\"accordion-icons\">\r\n                        <span class=\"accordion-icon-active accordion-plus\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\r\n                        <span class=\"accordion-icon-inactive accordion-minus\"><i class=\"fas fa-chevron-right\"><\/i><\/span>\r\n                    <\/span>\r\n                    <span id=\"header-text-1680698536375\" class=\"accordions-head-title\">AI in market research<\/span>\r\n                            <\/div>\r\n            <div class=\"accordion-content content1680698536375 \">\r\n                \n<p>eye square has been using different AI tools for data processing and analytics for years and is constantly working on dedicated tools. Of course, the news around ChatGPT and other Gen-AI models fanned our curiosity about possible productivity gains in research, be it formulation of study guidelines, summing up qualitative insights from interviews or coding open answers from surveys.<br \/>\u00a0<\/p>\n<p>The results have been mixed so far. While the tools can be helpful in summarizing long texts e.g. research papers, they are sometimes unreliable with even rather simple tasks such as counting in larger data sets \u2013 e.g. results differ, even with same prompts and same data sets. <br \/>\u00a0<\/p>\n<p>Regarding qualitative results, LLMs are not very good in interpreting and not really able to differentiate what is important and what is not. Instead of finishing tasks autonomously, the usage of AI tools up to now means extra work such as finding different ways of prompting and doing evaluations manually in parallel to double-check and improve quality of results.<\/p>\n            <\/div>\r\n    \r\n            <div post_id=\"60294\" itemcount=\"2\"  header_id=\"header-1680698575311\" id=\"header-1680698575311\" style=\"\" class=\"accordions-head head1680698575311 border-none\" toggle-text=\"\" main-text=\"AI Experience Research\">\r\n                                    <span id=\"accordion-icons-1680698575311\" class=\"accordion-icons\">\r\n                        <span class=\"accordion-icon-active accordion-plus\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\r\n                        <span class=\"accordion-icon-inactive accordion-minus\"><i class=\"fas fa-chevron-right\"><\/i><\/span>\r\n                    <\/span>\r\n                    <span id=\"header-text-1680698575311\" class=\"accordions-head-title\">AI Experience Research<\/span>\r\n                            <\/div>\r\n            <div class=\"accordion-content content1680698575311 \">\r\n                <p>The most important questions for a human experience research company like us is how humans experience the interaction with AI and how AI might impact user behavior in the nearer future.<br \/>\u00a0<\/p>\n<p>Together with Strategic Labs, a Berlin-based foresight agency, we try to figure out how online behavior and media usage might change over the next years, to be prepared to offer the best fitting research methods. We consider the whole range of AI-based applications and their possible impact on user behavior, from conversational interfaces like bots and voice assistants to the possibly ubiquitous spread of AI-assistants in everyday life (e.g. replacing Google search or dedicated apps). And of course, this also includes understanding the impact of AI-generated content on human digital experience: How well do campaigns work that have been created with the help of Generative AI? How does AI impact users\u2019 attitude towards digital media in terms of trust and digital brand-building \u2013 and how does this impact current business models?<br \/>\u00a0<\/p>\n<p>In terms of user experience, an important aspect for us is how consumers experience the interaction with AI. Based on in-depth interviews, our AIX Lab has developed a model and scales to describe and measure AI Experience.<\/p>\n<p>\u00a0<\/p>\n            <\/div>\r\n    \r\n            <div post_id=\"60294\" itemcount=\"3\"  header_id=\"header-1683764223512\" id=\"header-1683764223512\" style=\"\" class=\"accordions-head head1683764223512 border-none\" toggle-text=\"\" main-text=\"Latest survey: ChatGPT Experience\">\r\n                                    <span id=\"accordion-icons-1683764223512\" class=\"accordion-icons\">\r\n                        <span class=\"accordion-icon-active accordion-plus\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\r\n                        <span class=\"accordion-icon-inactive accordion-minus\"><i class=\"fas fa-chevron-right\"><\/i><\/span>\r\n                    <\/span>\r\n                    <span id=\"header-text-1683764223512\" class=\"accordions-head-title\">Latest survey: ChatGPT Experience<\/span>\r\n                            <\/div>\r\n            <div class=\"accordion-content content1683764223512 \">\r\n                <p>As proof-of-concept we surveyed how users experience ChatGPT. Results of our study for Germany show that there is a big group of people who are worried about the potential implications which ChatGPT could have for their lives. Many try to avoid the topic as much as possible and feel overwhelmed by the developments. Half of our sample had already used ChatGPT, and the majority of them were either confident of being able to cope well with the developments or were even excited about the possibilities that LLMs will bring as an enabler for them.<br \/>\u00a0<\/p>\n<p>When developing and launching new AI-based features, services and content, companies need to be aware of the very diverse states of mind and mixed emotions of their target audiences - and measure, analyze and consider them wherever possible. eye square\u2019s research approaches will help to find a user-centric way into implementing AI.<\/p>\n<p>\u00a0<\/p>\n            <\/div>\r\n    <\/div>\r\n\r\n\r\n\r\n            <\/div>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=&#8221;80px&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; css=&#8221;.vc_custom_1710274255520{background-color: #f1f1f9 !important;}&#8221;][vc_column offset=&#8221;vc_hidden-xs&#8221;][vc_empty_space height=&#8221;80px&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/2&#8243; css=&#8221;.vc_custom_1710278019037{padding-right: 10% !important;padding-left: 10% !important;}&#8221;][vc_column_text css=&#8221;.vc_custom_1710277976691{padding-bottom: 0.5em !important;}&#8221;]<\/p>\n<h1 id=\"-art_h-sub\" class=\"h--t_is-l t_is-medium t_is-cyan\" style=\"text-align: left\"><strong><br \/>\nThe eye square AIX Lab<\/strong><\/h1>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;.vc_custom_1710272762400{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\">In a world of shift towards artificial intelligence, it was of high importance for us, as a company, to open our own eye square <strong>AI Experience Lab!<\/strong>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1710257640647{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\">eye square\u2019s\u202f AIX Lab doesn\u2019t only look at how humans experience the interaction with AI, but also how AI appliances can be shaped to serve consumer requirements best. It delves into AI\u2019s role in various areas such as chatbots, autonomous assistants, and interactive ads in the Metaverse or Social media.<\/p>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;50px&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text]<\/p>\n<p style=\"color: #007fff;line-height: 1;font-size: 2rem;font-weight: 600;text-align: right\">Our work on AI is based on two pillars:<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;.vc_custom_1710273501024{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\"><strong>AI as a research subject:<\/strong> How do people experience the interaction with AI? Based on our AI Experience Model, we plan empirical research focused on measuring the experience of interacting with AI.<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;.vc_custom_1710257700115{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\"><strong>The second pillar<\/strong> focuses on exploring any <strong>new AI tools<\/strong> based on <strong>ChatGPT<\/strong> and how we may (or may not) use them in our daily research work.<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_empty_space height=&#8221;50px&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text]<\/p>\n<p style=\"color: #007fff;line-height: 1;font-size: 2rem;font-weight: 600;text-align: right\">Delve deeper<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;2\/3&#8243;][vc_column_text]<div id=\"accordions-59659\" class=\"accordions-59659 accordions\" data-accordions={&quot;lazyLoad&quot;:true,&quot;id&quot;:&quot;59659&quot;,&quot;event&quot;:&quot;click&quot;,&quot;collapsible&quot;:&quot;true&quot;,&quot;heightStyle&quot;:&quot;content&quot;,&quot;animateStyle&quot;:&quot;swing&quot;,&quot;animateDelay&quot;:1000,&quot;navigation&quot;:true,&quot;active&quot;:999,&quot;expandedOther&quot;:&quot;no&quot;}>\r\n                <div id=\"accordions-lazy-59659\" class=\"accordions-lazy\" accordionsId=\"59659\">\r\n                    <\/div>\r\n\r\n    <div class=\"items\"  style=\"display:none\" >\r\n    \r\n            <div post_id=\"59659\" itemcount=\"0\"  header_id=\"header-17465410150\" id=\"header-17465410150\" style=\"\" class=\"accordions-head head17465410150 border-none\" toggle-text=\"\" main-text=\"1. What does the AIX Lab do?\">\r\n                                    <span id=\"accordion-icons-17465410150\" class=\"accordion-icons\">\r\n                        <span class=\"accordion-icon-active accordion-plus\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\r\n                        <span class=\"accordion-icon-inactive accordion-minus\"><i class=\"fas fa-chevron-right\"><\/i><\/span>\r\n                    <\/span>\r\n                    <span id=\"header-text-17465410150\" class=\"accordions-head-title\">1. What does the AIX Lab do?<\/span>\r\n                            <\/div>\r\n            <div class=\"accordion-content content17465410150 \">\r\n                <p id=\"art_p\" class=\"padding-btm-100em\">eye square\u2019s research methods can of course also be used for analyzing AI-generated contents or services, no matter if it is texts, ads, videos or websites. When we started the AIX Lab, however, we wanted to work on two areas of expertise: Understanding how LLMs and Gen-AI can be used for our research work and how they might change our company and the industry. And secondly, always eye square\u2019s central mission: To dive into the experience of users and consumers when it comes to AI.<\/p>\n            <\/div>\r\n    \r\n            <div post_id=\"59659\" itemcount=\"1\"  header_id=\"header-17465410151\" id=\"header-17465410151\" style=\"\" class=\"accordions-head head17465410151 border-none\" toggle-text=\"\" main-text=\"2. AI in market research\">\r\n                                    <span id=\"accordion-icons-17465410151\" class=\"accordion-icons\">\r\n                        <span class=\"accordion-icon-active accordion-plus\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\r\n                        <span class=\"accordion-icon-inactive accordion-minus\"><i class=\"fas fa-chevron-right\"><\/i><\/span>\r\n                    <\/span>\r\n                    <span id=\"header-text-17465410151\" class=\"accordions-head-title\">2. AI in market research<\/span>\r\n                            <\/div>\r\n            <div class=\"accordion-content content17465410151 \">\r\n                <p id=\"art_p\" class=\"padding-btm-100em\">eye square has been using different AI tools for data processing and analytics for years and is constantly working on dedicated tools. Of course, the news around ChatGPT and other Gen-AI models fanned our curiosity about possible productivity gains in research, be it formulation of study guidelines, summing up qualitative insights from interviews or coding open answers from surveys.<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\">The results have been mixed so far. While the tools can be helpful in summarizing long texts e.g. research papers, they are sometimes unreliable with even rather simple tasks such as counting in larger data sets \u2013 e.g. results differ, even with same prompts and same data sets. <\/p>\n<p>\u00a0<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\">Regarding qualitative results, LLMs are not very good in interpreting and not really able to differentiate what is important and what is not. Instead of finishing tasks autonomously, the usage of AI tools up to now means extra work such as finding different ways of prompting and doing evaluations manually in parallel to double-check and improve quality of results.<\/p>\n            <\/div>\r\n    \r\n            <div post_id=\"59659\" itemcount=\"2\"  header_id=\"header-17465410152\" id=\"header-17465410152\" style=\"\" class=\"accordions-head head17465410152 border-none\" toggle-text=\"\" main-text=\"3. AI Experience Research\">\r\n                                    <span id=\"accordion-icons-17465410152\" class=\"accordion-icons\">\r\n                        <span class=\"accordion-icon-active accordion-plus\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\r\n                        <span class=\"accordion-icon-inactive accordion-minus\"><i class=\"fas fa-chevron-right\"><\/i><\/span>\r\n                    <\/span>\r\n                    <span id=\"header-text-17465410152\" class=\"accordions-head-title\">3. AI Experience Research<\/span>\r\n                            <\/div>\r\n            <div class=\"accordion-content content17465410152 \">\r\n                <p id=\"art_p\" class=\"padding-btm-100em\">The most important questions for a human experience research company like us is how humans experience the interaction with AI and how AI might impact user behavior in the nearer future.<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\">Together with Strategic Labs, a Berlin-based foresight agency, we try to figure out how online behavior and media usage might change over the next years, to be prepared to offer the best fitting research methods. We consider the whole range of AI-based applications and their possible impact on user behavior, from conversational interfaces like bots and voice assistants to the possibly ubiquitous spread of AI-assistants in everyday life (e.g. replacing Google search or dedicated apps). And of course, this also includes understanding the impact of AI-generated content on human digital experience: How well do campaigns work that have been created with the help of Generative AI? How does AI impact users\u2019 attitude towards digital media in terms of trust and digital brand-building \u2013 and how does this impact current business models?<\/p>\n<p>\u00a0<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\">In terms of user experience, an important aspect for us is how consumers experience the interaction with AI. Based on in-depth interviews, our AIX Lab has developed a model and scales to describe and measure AI Experience.<\/p>\n<p>\u00a0<\/p>\n            <\/div>\r\n    \r\n            <div post_id=\"59659\" itemcount=\"3\"  header_id=\"header-17465410153\" id=\"header-17465410153\" style=\"\" class=\"accordions-head head17465410153 border-none\" toggle-text=\"\" main-text=\"4. Latest survey- ChatGPT Experience\">\r\n                                    <span id=\"accordion-icons-17465410153\" class=\"accordion-icons\">\r\n                        <span class=\"accordion-icon-active accordion-plus\"><i class=\"fas fa-chevron-up\"><\/i><\/span>\r\n                        <span class=\"accordion-icon-inactive accordion-minus\"><i class=\"fas fa-chevron-right\"><\/i><\/span>\r\n                    <\/span>\r\n                    <span id=\"header-text-17465410153\" class=\"accordions-head-title\">4. Latest survey- ChatGPT Experience<\/span>\r\n                            <\/div>\r\n            <div class=\"accordion-content content17465410153 \">\r\n                <p id=\"art_p\" class=\"padding-btm-100em\">As proof-of-concept we surveyed how users experience ChatGPT. Results of our study for Germany show that there is a big group of people who are worried about the potential implications which ChatGPT could have for their lives. Many try to avoid the topic as much as possible and feel overwhelmed by the developments. Half of our sample had already used ChatGPT, and the majority of them were either confident of being able to cope well with the developments or were even excited about the possibilities that LLMs will bring as an enabler for them.<\/p>\n<p>\u00a0<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\">When developing and launching new AI-based features, services and content, companies need to be aware of the very diverse states of mind and mixed emotions of their target audiences - and measure, analyze and consider them wherever possible. eye square\u2019s research approaches will help to find a user-centric way into implementing AI.<\/p>\n<p>\u00a0<\/p>\n            <\/div>\r\n    <\/div>\r\n\r\n\r\n\r\n            <\/div>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=&#8221;80px&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; css=&#8221;.vc_custom_1710276518672{background-color: #f1f1f9 !important;}&#8221; z_index=&#8221;&#8221;][vc_column offset=&#8221;vc_hidden-lg vc_hidden-md vc_hidden-sm&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_column_text]<\/p>\n<h3 id=\"-art_h-sub\" class=\"h--t_is-l t_is-medium t_is-cyan\" style=\"text-align: left\"><strong>Explore our content in depth<\/strong><\/h3>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;40&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243; css=&#8221;.vc_custom_1710279482562{padding-top: 10% !important;padding-right: 10% !important;padding-bottom: 10% !important;padding-left: 10% !important;background-color: #007fff !important;}&#8221;][vc_column_text css=&#8221;.vc_custom_1710279433793{background-color: #007fff !important;}&#8221; el_class=&#8221;container&#8221;]<\/p>\n<h4 style=\"color: #ffffff;line-height: 1;font-size: 2rem;font-weight: 500;text-align: left\"><strong>How do consumers experience interaction with artificial intelligence?<\/strong><\/h4>\n<p>[\/vc_column_text][vc_empty_space][vc_separator type=&#8221;normal&#8221; color=&#8221;#ffffff&#8221; thickness=&#8221;1px&#8221; up=&#8221;10%&#8221; down=&#8221;10%&#8221;][vc_column_text]<\/p>\n<p class=\"art_p\" style=\"color: #ffffff;line-height: 1.5;font-size: 1rem;font-weight: 300;text-align: left\">Our\u202fAI Experience Whitepaper\u202fprovides a deeper dive into understanding the\u202fhuman experience\u202fof interacting with AI and helps understand motivators and barriers when confronted with AI-based products.<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;2\/3&#8243; css=&#8221;.vc_custom_1710276509775{padding-right: 10% !important;padding-left: 10% !important;}&#8221;][vc_empty_space height=&#8221;40&#8243;][vc_column_text]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\">In our paper, we explore how digital transformation and Al influence consumer behavior using our \u201cAl Experience\u201d model, which builds on eye square\u2019s unique neurosemiotic model \u201cHuman Experience\u201d. This model divides human experience into three dimensions: perception, implicit emotion, and explicit cognition.<\/p>\n<p>&nbsp;<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\">Our paper explores how consumers experience Al and how the experience needs to be designed to better meet consumer needs. Different levels of Al in different fields such as chatbots, autonomous shopping assistants, or interactive advertising in the metaverse and social media are examined.<\/p>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;40&#8243;]<a  itemprop=\"url\" href=\"https:\/\/fb2c5e8f.sibforms.com\/serve\/MUIEAAF0SBVRvXsy-g29D60x7FkxJ0wDxoBeYziIwH91JgqCqAPRmmsgat_zatsLq4wCqIX4bF4ZHlQNQ8KNZQ6OgrpM0BPDHUX5CLAwbgH6cQGV5ibO0ENDhI5DRkl6LnDtemUN5vQ1rXBZvICUacxKcvmrw_Qq_XS0rS1IHJ0LP8GDItNKQxW1HM8iu4fTMrVvqDXXSj_mL1od\" target=\"_blank\" data-hover-background-color=\"#131631\" data-hover-border-color=\"#ffffff\" data-hover-color=\"#ffffff\" class=\"qbutton  center default\" style=\"color: #ffffff; border-color: #ffffff; font-weight: 600; margin: 5px 5px 5px 5px; border-radius: 25px;-moz-border-radius: 25px;-webkit-border-radius: 25px; background-color:#007fff;\">Download Paper!<\/a>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; css=&#8221;.vc_custom_1710276518672{background-color: #f1f1f9 !important;}&#8221; z_index=&#8221;&#8221;][vc_column offset=&#8221;vc_hidden-xs&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;2\/3&#8243; css=&#8221;.vc_custom_1710276509775{padding-right: 10% !important;padding-left: 10% !important;}&#8221;][vc_column_text css=&#8221;.vc_custom_1710277806647{padding-bottom: 0.5em !important;}&#8221;]<\/p>\n<h3 id=\"-art_h-sub\" class=\"h--t_is-l t_is-medium t_is-cyan\" style=\"text-align: left\"><strong>Explore our content in depth<\/strong><\/h3>\n<p>[\/vc_column_text][vc_empty_space][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243; css=&#8221;.vc_custom_1710277750571{padding-top: 20% !important;padding-right: 10% !important;padding-bottom: 20% !important;padding-left: 10% !important;}&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243; css=&#8221;.vc_custom_1710277119194{padding-top: 20% !important;padding-right: 10% !important;padding-bottom: 20% !important;padding-left: 10% !important;background-color: #007fff !important;}&#8221;][vc_empty_space][vc_column_text css=&#8221;.vc_custom_1710277140748{background-color: #007fff !important;}&#8221; el_class=&#8221;container&#8221;]<\/p>\n<h4 style=\"color: #ffffff;line-height: 1;font-size: 2rem;font-weight: 500;text-align: right\"><strong>How do consumers experience interaction with artificial intelligence?<\/strong><\/h4>\n<p>[\/vc_column_text][vc_empty_space][vc_separator type=&#8221;normal&#8221; color=&#8221;#ffffff&#8221; thickness=&#8221;1px&#8221; up=&#8221;10%&#8221; down=&#8221;10%&#8221;][vc_column_text]<\/p>\n<p class=\"art_p\" style=\"color: #ffffff;line-height: 1.5;font-size: 1rem;font-weight: 300;text-align: left\">Our\u202fAI Experience Whitepaper\u202fprovides a deeper dive into understanding the\u202fhuman experience\u202fof interacting with AI and helps understand motivators and barriers when confronted with AI-based products.<\/p>\n<p>[\/vc_column_text][vc_empty_space][\/vc_column_inner][vc_column_inner width=&#8221;2\/3&#8243; css=&#8221;.vc_custom_1710276509775{padding-right: 10% !important;padding-left: 10% !important;}&#8221;][vc_empty_space][vc_column_text]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\">In our paper, we explore how digital transformation and Al influence consumer behavior using our \u201cAl Experience\u201d model, which builds on eye square\u2019s unique neurosemiotic model \u201cHuman Experience\u201d. This model divides human experience into three dimensions: perception, implicit emotion, and explicit cognition.<\/p>\n<p>&nbsp;<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\">Our paper explores how consumers experience Al and how the experience needs to be designed to better meet consumer needs. Different levels of Al in different fields such as chatbots, autonomous shopping assistants, or interactive advertising in the metaverse and social media are examined.<\/p>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;40&#8243;]<a  itemprop=\"url\" href=\"https:\/\/fb2c5e8f.sibforms.com\/serve\/MUIEAAF0SBVRvXsy-g29D60x7FkxJ0wDxoBeYziIwH91JgqCqAPRmmsgat_zatsLq4wCqIX4bF4ZHlQNQ8KNZQ6OgrpM0BPDHUX5CLAwbgH6cQGV5ibO0ENDhI5DRkl6LnDtemUN5vQ1rXBZvICUacxKcvmrw_Qq_XS0rS1IHJ0LP8GDItNKQxW1HM8iu4fTMrVvqDXXSj_mL1od\" target=\"_blank\" data-hover-background-color=\"#131631\" data-hover-border-color=\"#ffffff\" data-hover-color=\"#ffffff\" class=\"qbutton  center default\" style=\"color: #ffffff; border-color: #ffffff; font-weight: 600; margin: 5px 5px 5px 5px; border-radius: 25px;-moz-border-radius: 25px;-webkit-border-radius: 25px; background-color:#007fff;\">Download Paper!<\/a>[\/vc_column_inner][\/vc_row_inner][vc_empty_space height=&#8221;80px&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; css=&#8221;.vc_custom_1710276518672{background-color: #f1f1f9 !important;}&#8221; z_index=&#8221;&#8221;][vc_column offset=&#8221;vc_hidden-lg vc_hidden-md vc_hidden-sm&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner css=&#8221;.vc_custom_1710277883189{padding-top: 20% !important;padding-bottom: 20% !important;padding-left: 10% !important;}&#8221;][vc_column_text]<\/p>\n<h4 style=\"color: #007fff;line-height: 1;font-size: 2rem;font-weight: 500;text-align: left\"><strong>Explore our AI Experience Model and its four modes in detail<\/strong><\/h4>\n<p>[\/vc_column_text][vc_empty_space][vc_video link=&#8221;https:\/\/www.youtube.com\/watch?v=ur5oJpWyX0o&#8221; el_width=&#8221;70&#8243; align=&#8221;center&#8221;][vc_empty_space][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; css=&#8221;.vc_custom_1710276518672{background-color: #f1f1f9 !important;}&#8221; z_index=&#8221;&#8221;][vc_column offset=&#8221;vc_hidden-xs&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243; css=&#8221;.vc_custom_1710277883189{padding-top: 20% !important;padding-bottom: 20% !important;padding-left: 10% !important;}&#8221;][vc_column_text]<\/p>\n<h4 style=\"color: #007fff;line-height: 1;font-size: 2rem;font-weight: 500;text-align: right\"><strong>Explore our AI Experience Model and its four modes in detail<\/strong><\/h4>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;80px&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;2\/3&#8243;][vc_video link=&#8221;https:\/\/www.youtube.com\/watch?v=ur5oJpWyX0o&#8221; el_width=&#8221;70&#8243; align=&#8221;center&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column offset=&#8221;vc_hidden-lg vc_hidden-md vc_hidden-sm&#8221;][vc_empty_space height=&#8221;50px&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;.vc_custom_1710279935523{padding-top: 30px !important;}&#8221;]<\/p>\n<h4 style=\"color: #007fff;line-height: 1;font-size: 2rem;font-weight: 500;text-align: left\"><strong>Meet our AI Experience Lab lead<\/strong><\/h4>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;2\/3&#8243; css=&#8221;.vc_custom_1710278125782{padding-right: 10% !important;padding-left: 10% !important;}&#8221;][vc_column_text css=&#8221;.vc_custom_1770135241404{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\"><strong>Dr. Julia Nitschke<\/strong> leads the AIX Lab and is the VP Insights &amp; Strategy at the User Insights &amp; UX Unit. Julia has many years of experience in market research and in the areas of Product Management and Business development, for example, at eBay Kleinanzeigen.<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=&#8221;50px&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column offset=&#8221;vc_hidden-xs&#8221;][vc_empty_space height=&#8221;50px&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text css=&#8221;.vc_custom_1710279068842{padding-top: 30px !important;}&#8221;]<\/p>\n<h4 style=\"color: #007fff;line-height: 1;font-size: 2rem;font-weight: 500;text-align: right\"><strong>Meet our AI Experience Lab lead<\/strong><\/h4>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;2\/3&#8243; css=&#8221;.vc_custom_1710278125782{padding-right: 10% !important;padding-left: 10% !important;}&#8221;][vc_column_text css=&#8221;.vc_custom_1770135280529{padding-top: 30px !important;}&#8221;]<\/p>\n<p id=\"art_p\" class=\"padding-btm-100em\" style=\"text-align: left\"><strong>Dr. Julia Nitschke<\/strong> leads the AIX Lab and is the VP Insights &amp; Strategy at the User Insights &amp; UX Unit. Julia has many years of experience in market research and in the areas of Product Management and Business development, for example, at eBay Kleinanzeigen.<\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=&#8221;50px&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column css=&#8221;.vc_custom_1689841156800{background-color: #007fff !important;}&#8221;][vc_column_text]<\/p>\n<h3 class=\"t_is-medium t_is-white text-align: center\" style=\"text-align: center\"><strong>Get in touch!<\/strong><\/h3>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;20px&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; el_id=&#8221;contact&#8221; z_index=&#8221;&#8221; anchor=&#8221;contact&#8221;][vc_column offset=&#8221;vc_col-md-offset-1 vc_col-md-5&#8243;][vc_empty_space height=&#8221;40px&#8221;][vc_single_image image=&#8221;49878&#8243; img_size=&#8221;full&#8221; alignment=&#8221;center&#8221; qode_css_animation=&#8221;&#8221;][vc_empty_space height=&#8221;30px&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3 style=\"text-align: center\">Dr. Julia Nitschke<\/h3>\n<h4 style=\"text-align: center\">VP Insights &amp; Strategy<\/h4>\n<h4 style=\"text-align: center\">AI Experience Lab Lead<\/h4>\n<p style=\"text-align: center\"><a href=\"mailto:nitschke@eye-square.com\"><span style=\"color: #000000\">nitschke@eye-square.com<\/span><\/a><\/p>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;80px&#8221;][\/vc_column][vc_column width=&#8221;1\/2&#8243; offset=&#8221;vc_col-md-5&#8243; el_id=&#8221;UXCONTACTEN&#8221;][vc_empty_space height=&#8221;20px&#8221;][vc_column_text] <div class=\"brlbs-cmpnt-container brlbs-cmpnt-content-blocker brlbs-cmpnt-with-individual-styles\" data-borlabs-cookie-content-blocker-id=\"sendinblue-unblocker\" data-borlabs-cookie-content=\"
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