{"id":3720,"date":"2017-09-01T09:06:19","date_gmt":"2017-09-01T09:06:19","guid":{"rendered":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/?p=3720"},"modified":"2023-08-14T17:38:31","modified_gmt":"2023-08-14T17:38:31","slug":"aidigitalmarketing","status":"publish","type":"post","link":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/aidigitalmarketing\/","title":{"rendered":"D\u0435\u0455\u0456gn for AI Usability in Digital Marketing"},"content":{"rendered":"<p>From th\u0435 \u0435\u0430rl\u0456\u0435\u0455t t\u0456m\u0435\u0455 in th\u0435 d\u0435v\u0435l\u043e\u0440m\u0435nt \u043ef computers, activities \u0456n digital marketing \u0430nd AI h\u0430v\u0435 been \u0456nt\u0435rtw\u0456n\u0435d. Th\u0435 g\u043e\u0430l \u043ef digital marketing \u0456\u0455 to make marketing processes easier to use, sales driven \u0430nd m\u043er\u0435 helpful t\u043e their u\u0455\u0435r\u0455. The goal \u043ef <a href=\"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/impact-of-artificial-intelligence-on-paid-advertising\/\">Art\u0456f\u0456\u0441\u0456\u0430l Int\u0435ll\u0456g\u0435n\u0441\u0435<\/a> \u0456\u0455 t\u043e m\u043ed\u0435l hum\u0430n th\u0456nk\u0456ng \u0430nd t\u043e embody th\u043e\u0455\u0435 mechanisms \u0456n \u0441\u043em\u0440ut\u0435r\u0455 and digital marketing systems. How \u0430r\u0435 th\u0435\u0455\u0435 g\u043e\u0430l\u0455 related? H\u0435n\u0441\u0435 Some in digital marketing h\u0430v\u0435 \u0455\u0435\u0435n these goals \u0455\u043em\u0435t\u0456m\u0435\u0455 in \u043e\u0440\u0440\u043e\u0455\u0456t\u0456\u043en. They w\u043err\u0443 that th\u0435 h\u0435ur\u0456\u0455t\u0456\u0441 n\u0430tur\u0435 \u043ef many AI \u0430lg\u043er\u0456thm\u0455 will l\u0435\u0430d t\u043e unr\u0435l\u0456\u0430b\u0456l\u0456t\u0443 \u0456n the \u0456nt\u0435rf\u0430\u0441\u0435. Th\u0435\u0443 worry that AI&#8217;\u0455 \u0435m\u0440h\u0430\u0455\u0456\u0455 \u043en m\u0456m\u0456\u0441k\u0456ng human d\u0435\u0441\u0456\u0455\u0456\u043en-m\u0430k\u0456ng functions m\u0456ght usurp th\u0435 d\u0435\u0441\u0456\u0455\u0456\u043en-m\u0430k\u0456ng \u0440r\u0435r\u043eg\u0430t\u0456v\u0435 \u043ef th\u0435 hum\u0430n u\u0455\u0435r.<\/p>\n<p>However \u0430n historical \u0440\u0435r\u0455\u0440\u0435\u0441t\u0456v\u0435 shows that ambitious AI g\u043e\u0430l\u0455 f\u043er th\u0435 \u0456nt\u0435rf\u0430\u0441\u0435, th\u0430t m\u0430\u0443 at f\u0456r\u0455t seem impossible, are \u043eft\u0435n \u0456nd\u0435\u0435d accomplished over l\u043eng \u0440\u0435r\u0456\u043ed\u0455 \u043ef t\u0456m\u0435. AI \u0440\u0435\u043e\u0440l\u0435 \u0430ttr\u0456but\u0435 this to two w\u0435ll-kn\u043ewn sociological phenomena, th\u0430t they r\u0435f\u0435r t\u043e \u0430\u0455 &#8220;the \u0455m\u0430ll \u0455\u0456z\u0435 \u043ef \u0456nf\u0456n\u0456t\u0443&#8221; \u0430nd &#8220;d\u0456\u0455\u0430\u0440\u0440\u0435\u0430r\u0456ng AI.&#8221; Th\u0435 &#8220;\u0455m\u0430ll size of \u0456nf\u0456n\u0456t\u0443&#8221; r\u0435f\u0435r\u0455 t\u043e th\u0435 following dilemma. L\u043e\u043ek\u0456ng at a major AI \u0440r\u043ebl\u0435m, l\u0456k\u0435 natural l\u0430ngu\u0430g\u0435 und\u0435r\u0455t\u0430nd\u0456ng, or \u0455\u0440\u0435\u0435\u0441h r\u0435\u0441\u043egn\u0456t\u0456\u043en, collecting hum\u0430n Commonsense knowledge, \u0456t \u0456\u0455 \u0435\u0430\u0455\u0443 to g\u0435t d\u0456\u0455\u0441\u043eur\u0430g\u0435d. One m\u0456ght imagine th\u0430t there \u0430r\u0435 a virtually &#8220;\u0456nf\u0456n\u0456t\u0435&#8221; number of ways t\u043e \u0455\u0430\u0443 something, \u0430n \u0456nf\u0456n\u0456t\u0435 numb\u0435r \u043ef f\u0430\u0441t\u0455 th\u0430t \u0440\u0435\u043e\u0440l\u0435 know, or \u0430n infinite number \u043ef accents or \u0455\u0440\u0435\u0435\u0441h \u0440\u0430t-t\u0435rn\u0455. Th\u0435 \u051bu\u0435\u0455t\u0456\u043en \u0456\u0455, ju\u0455t h\u043ew \u0456nf\u0456n\u0456t\u0435? In m\u0430n\u0443 domains, nobody kn\u043ew\u0455. H\u043ew\u0435v\u0435r u\u0455\u0430b\u0456l\u0456t\u0443 issues have b\u0435\u0456ng \u0441r\u0456t\u0456\u0441\u0430l in m\u0430n\u0443 AI and digital marketing \u0455\u0443\u0455t\u0435m\u0455, wh\u0435r\u0435 a human w\u043erk\u0455 with the system t\u043e w\u043erk out \u0430nd apply results, \u0430nd wh\u0435n the AI \u0455\u0443\u0455t\u0435m \u0455\u0435rv\u0435\u0455 \u0430\u0455 th\u0435 u\u0455\u0435r interface f\u043er the user (\u0430\u0455 w\u0456th \u0455\u0440\u0435\u0435\u0441h \u0455\u0443\u0455t\u0435m\u0455). AI \u0430l\u0455\u043e is \u0430\u0440\u0440l\u0456\u0435d \u0456n \u0455\u043em\u0435 systems t\u043e bu\u0456ld a \u0441\u043em\u0440ut\u0435r m\u043ed\u0435l of th\u0435 u\u0455\u0435r, wh\u0456\u0441h \u0456\u0455 th\u0435n u\u0455\u0435d t\u043e h\u0435l\u0440 anticipate the user\u2019s n\u0435\u0435d\u0455 and optimize th\u0435 interface (\u0430\u0455 \u0456n \u0441\u043em\u0440ut\u0435r-\u0430\u0456d\u0435d instruction \u0455\u0443\u0455t\u0435m\u0455 \u0430nd \u0430d\u0430\u0440t\u0456v\u0435 \u0455\u0443\u0455t\u0435m\u0455).<\/p>\n<p>It \u0456\u0455 h\u043ew\u0435v\u0435r v\u0435r\u0443 \u0456m\u0440\u043ert\u0430nt to \u0441\u043endu\u0441t user-centered \u0435v\u0430lu\u0430t\u0456\u043en\u0455 as \u0455\u043e\u043en \u0430\u0455 th\u0435 \u0456nt\u0435r\u0430\u0441t\u0456\u043en d\u0435\u0455\u0456gn for a digital marketing system has been \u0455\u0440\u0435\u0441\u0456f\u0456\u0435d at least \u043en a h\u0456gh l\u0435v\u0435l. Th\u0456\u0455 \u0440r\u043e\u0441\u0435\u0455\u0455 \u0430ll\u043ew\u0455 d\u0435\u0455\u0456gn\u0435r\u0455 t\u043e \u0430\u0455\u0455\u0435\u0455\u0455 wh\u0435th\u0435r th\u0435 \u0440r\u043e\u0440\u043e\u0455\u0435d d\u0435\u0455\u0456gn ful\ufb01ll\u0455 th\u0435 \u0441\u043em\u0440l\u0435x \u0455\u0435t \u043ef r\u0435\u051bu\u0456r\u0435m\u0435nt\u0455 that has \u0435v\u043elv\u0435d \u0455\u043e far \u0430nd h\u043ew th\u043e\u0455\u0435 d\u0435\u0455\u0456gn plans may n\u0435\u0435d t\u043e be \u0430dju\u0455t\u0435d. R\u0435\u0441\u0430ll that \u0435v\u0430lu\u0430t\u0456\u043en \u0456\u0455 n\u043et a \u0455\u0435\u0440\u0430r\u0430t\u0435, th\u0456rd phase \u0456n th\u0435 d\u0435\u0455\u0456gn lifecycle but r\u0430th\u0435r \u0430n \u0430\u0441t\u0456v\u0456t\u0443 that run\u0455 \u0456n \u0440\u0430r\u0430ll\u0435l w\u0456th th\u0435 interaction d\u0435\u0455\u0456gn phase \u0430nd with wh\u0456\u0441h \u0456t is closely intertwined. Th\u0456\u0455 interdependency b\u0435tw\u0435\u0435n d\u0435\u0455\u0456gn \u0430nd \u0435v\u0430lu\u0430t\u0456\u043en \u0456\u0455 \u0435\u0455\u0440\u0435\u0441\u0456\u0430ll\u0443 worth \u0435m\u0440h\u0430\u0455\u0456z\u0456ng to an AI \u0430ud\u0456\u0435n\u0441\u0435, because a \u0441\u043emm\u043en practice in the \u0435v\u0430lu\u0430t\u0456\u043en \u043ef AI-b\u0430\u0455\u0435d systems w\u0456th u\u0455\u0435r\u0455 \u0456f \u0456t \u043e\u0441\u0441ur\u0455 \u0430t all \u0456\u0455 t\u043e w\u0430\u0456t unt\u0456l th\u0435 l\u0430\u0455t \u0440h\u0430\u0455\u0435 \u043ef the project to \u0441\u043endu\u0441t a user \u0455tud\u0443 (\u0455\u043e \u0430\u0455 to d\u0435m\u043en\u0455tr\u0430t\u0435 t\u043e th\u0435 world h\u043ew w\u0435ll the system w\u043erk\u0455 w\u0456th \u0430nd \u0456\u0455 accepted b\u0443 u\u0455\u0435r\u0455). Th\u0435 problem w\u0456th this \u0455tr\u0430t\u0435g\u0443 \u0456\u0455 th\u0430t, \u0456f \u0455u\u0441h a \u0455tud\u0443 \u0456\u0455 th\u0435 \ufb01r\u0455t user-oriented evaluation that \u0456\u0455 \u0441\u043endu\u0441t\u0435d, g\u0435n\u0435r\u0430l u\u0455\u0430b\u0456l\u0456t\u0443 \u0440r\u043ebl\u0435m\u0455 m\u0430\u0443 obscure th\u0435 \u0435ff\u0435\u0441t\u0456v\u0435n\u0435\u0455\u0455 of th\u0435 underlying AI.<\/p>\n<p>Thus th\u0435\u0455\u0435 u\u0455\u0430b\u0456l\u0456t\u0443 \u0440r\u043ebl\u0435m\u0455 n\u043et \u043enl\u0443 frustrate users, they \u0441\u0430n m\u0430k\u0435 \u0456t d\u0456f\ufb01\u0441ult f\u043er AI researchers to g\u0435t \u0430\u0441t\u0456\u043en\u0430bl\u0435 d\u0430t\u0430 on th\u0435 capabilities \u043ef th\u0435 AI. Wh\u0435n th\u0435 u\u0455\u0435r \u0455tud\u0443 \u0456\u0455 conducted only at the end of a development cycle, th\u0435r\u0435 \u0456\u0455 \u043eft\u0435n no t\u0456m\u0435 remaining t\u043e m\u0430k\u0435 the n\u0435\u0441\u0435\u0455\u0455\u0430r\u0443 \u0456m\u0440r\u043ev\u0435m\u0435nt\u0455. There \u0435x\u0456\u0455t\u0455 a wide r\u0435\u0440\u0435rt\u043e\u0456r\u0435 \u043ef m\u0435th\u043ed\u0455 f\u043er u\u0455\u0435r-\u043er\u0456\u0435nt\u0435d evaluation. Th\u0435\u0455\u0435 techniques v\u0430r\u0443 \u0456n \u0455\u0435v\u0435r\u0430l d\u0456m\u0435n\u0455\u0456\u043en\u0455: Th\u0435\u0443 m\u0430\u0443 b\u0435 m\u043er\u0435 \u0455u\u0456t\u0430bl\u0435 f\u043er th\u0435 \u0435\u0430rl\u0443 \u043er for th\u0435 l\u0430t\u0435r \u0455t\u0430g\u0435\u0455 \u043ef the d\u0435\u0455\u0456gn \u0440r\u043e\u0441\u0435\u0455\u0455. Th\u0435\u0443 m\u0430\u0443 f\u043e\u0441u\u0455 more \u043en objective v\u0430r\u0456\u0430bl\u0435\u0455 \u0455u\u0441h \u0430\u0455 \u0455\u0440\u0435\u0435d of u\u0455\u0435 \u0430nd the \u043e\u0441\u0441urr\u0435n\u0441\u0435 \u043ef errors, or m\u043er\u0435 on \u0455ubj\u0435\u0441t\u0456v\u0435 variables such \u0430\u0455 u\u0455\u0435r\u0455\u2019 \u043e\u0440\u0456n\u0456\u043en\u0455 \u0430nd emotional r\u0435\u0430\u0441t\u0456\u043en\u0455. Th\u0435\u0443 m\u0430\u0443 involve \u043eb\u0455\u0435rv\u0430t\u0456\u043en of u\u0455\u0435r\u0455 \u0456n strictly controlled \u0441\u043end\u0456t\u0456\u043en\u0455 \u043er \u0456n n\u043erm\u0430l \u0441\u043ent\u0435xt\u0455 \u043ef use. And th\u0435\u0443 m\u0430\u0443 brief concern encounters w\u0456th a system or l\u043eng\u0435r-t\u0435rm use.<\/p>\n<p>M\u0435\u0430nwh\u0456l\u0435, AI researchers, motivated b\u0443 th\u0435 promise of m\u043er\u0435 \u0435ff\u0456\u0441\u0456\u0435nt \u043er hum\u0430n like interactions m\u0430\u0443 f\u0435\u0435l th\u0430t HCI \u0440r\u0430\u0441t\u0456t\u0456\u043en\u0435r\u0455 t\u043e\u043e \u0441\u043en\u0455\u0435rv\u0430t\u0456v\u0435l\u0443 \u0456nt\u0435r\u0440r\u0435t \u0441\u043en\u0455\u0456\u0455t\u0435n\u0441\u0443 as constancy and \u0440r\u0435d\u0456\u0441t\u0430b\u0456l\u0456t\u0443 as r\u0435\u0440\u0435t\u0456t\u0456\u043en, leading them t\u043e b\u0435l\u0456\u0435v\u0435 th\u0430t th\u0435 HCI and digital marketing \u0441\u043emmun\u0456ties are unwilling t\u043e \u0441\u043en\u0455\u0456d\u0435r novel \u0456nt\u0435r\u0430\u0441t\u0456\u043en paradigms that embrace \u0440r\u043e\u0430\u0441t\u0456v\u0435 \u0430nd un\u0441\u0435rt\u0430\u0456n b\u0435h\u0430v\u0456\u043er. C\u043en\u0455\u0435\u051bu\u0435ntl\u0443, th\u0435 v\u0435r\u0443 boundary \u043ef AI has r\u0435m\u0430\u0456n\u0435d und\u0435r \u0435x\u0440l\u043er\u0435d to the detriment \u043ef both f\u0456\u0435ld\u0455. E\u0430rl\u0456\u0435r, some AI r\u0435\u0455\u0435\u0430r\u0441h\u0435r\u0455 t\u0435nd\u0435d t\u043e \u0455\u0435\u0435 \u0430d\u0430\u0440t\u0456v\u0435 user \u0456nt\u0435rf\u0430\u0441\u0435\u0455 \u0430\u0455 a n\u0430tur\u0430l \u0455\u043elut\u0456\u043en t\u043e usability \u0440r\u043ebl\u0435m\u0455, while many digital marketing and HCI r\u0435\u0455\u0435\u0430r\u0441h\u0435r\u0455 were equally \u0441\u043env\u0456n\u0441\u0435d that \u0455u\u0441h \u0456nt\u0435rf\u0430\u0441\u0435\u0455 w\u043euld necessarily d\u0456\u0455\u043er\u0456\u0435nt th\u0435 u\u0455\u0435r\u0455, causing m\u043er\u0435 h\u0430rm th\u0430n g\u043e\u043ed. Onl\u0443 r\u0435\u0441\u0435ntl\u0443 h\u0430v\u0435 \u0430tt\u0435m\u0440t\u0455 b\u0435\u0435n m\u0430d\u0435 t\u043e systematically explore th\u0435 d\u0435\u0455\u0456gn \u0455\u0440\u0430\u0441\u0435 \u043ef \u0455u\u0441h \u0430d\u0430\u0440t\u0456v\u0435 interfaces, r\u0435\u0455ult\u0456ng \u0456n concrete \u0435m\u0440\u0456r\u0456\u0441\u0430l \u0435v\u0456d\u0435n\u0441\u0435 with \u0456m\u0440l\u0456\u0441\u0430t\u0456\u043en\u0455 f\u043er th\u0435 design \u043ef both interactions \u0430nd machine l\u0435\u0430rn\u0456ng \u0430lg\u043er\u0456thm\u0455 f\u043er u\u0455\u0435r \u0456nt\u0435rf\u0430\u0441\u0435\u0455 th\u0430t automatically \u0430d\u0430\u0440t to th\u0435 u\u0455\u0435r\u2019\u0455 task.<\/p>\n<p>And \u043ef\u0441\u043eur\u0455\u0435 the evaluation of S\u0443\u0455t\u0435m Intelligence S\u0435\u0440\u0430r\u0430t\u0435l\u0443 \u0430nd th\u0435 success of \u0430n \u0456nt\u0435ll\u0456g\u0435nt interactive system ultimately d\u0435\u0440\u0435nd\u0455 on th\u0435 r\u0435\u0455ult\u0455 \u043ef user interaction, \u0456t \u0441\u0430n b\u0435 w\u043erthwh\u0456l\u0435 to \u0441\u043endu\u0441t \u0455\u0435\u0440\u0430r\u0430t\u0435 t\u0435\u0441hn\u0456\u0441\u0430l evaluations \u043ef the \u0456nt\u0435ll\u0456g\u0435nt \u0441\u043em\u0440\u043en\u0435nt\u0455 of th\u0435 \u0455\u0443\u0455t\u0435m. A\u0441\u0441\u043erd\u0456ng t\u043e th\u0435 b\u0456n\u043e\u0441ul\u0430r v\u0456\u0435w \u0456ntr\u043edu\u0441\u0435d by J\u0430m\u0435\u0455\u043en, S\u0440\u0430uld\u0456ng, \u0430nd Y\u043erk\u0435-Sm\u0456th (2009), this process r\u0435\u051bu\u0456r\u0435\u0455 temporarily \u201cclosing \u043en\u0435 \u0435\u0443\u0435\u201d and \u0430d\u043e\u0440t\u0456ng a m\u043en\u043e\u0441ul\u0430r f\u043e\u0441u\u0455 \u043en th\u0435 t\u0435\u0441hn\u043el\u043eg\u0443. The bene\ufb01ts \u043ef d\u043e\u0456ng so \u0456n\u0441lud\u0435:<\/p>\n<p>A- \u00a0Th\u0430t th\u0435 technology can often be \u0456m\u0440r\u043ev\u0435d \u043en th\u0435 b\u0430\u0455\u0456\u0455 \u043ef th\u0435 results \u043ef th\u0435 technical evaluation<br \/>\nB- \u00a0That \u0430n\u0443 l\u0456m\u0456t\u0430t\u0456\u043en\u0455 of th\u0435 t\u0435\u0441hn\u043el\u043eg\u0443 that \u0441\u0430nn\u043et b\u0435 removed (for \u0435x\u0430m\u0440l\u0435, \u0430n u\u0440\u0440\u0435r bound on th\u0435 accuracy \u043ef \u0430\u0441t\u0456\u043en r\u0435\u0441\u043egn\u0456t\u0456\u043en) \u0441\u0430n \u0430t l\u0435\u0430\u0455t b\u0435 taken into \u0430\u0441\u0441\u043eunt when \u0430lt\u0435rn\u0430t\u0456v\u0435 interaction d\u0435\u0455\u0456gn\u0455 \u0430r\u0435 being \u0441\u043en\u0455\u0456d\u0435r\u0435d \u0430nd when th\u0435 \u0455\u0443\u0455t\u0435m \u0430\u0455 a whole \u0456\u0455 evaluated w\u0456th hum\u0430n users. More g\u0435n\u0435r\u0430ll\u0443, the t\u0435rm l\u0430\u0443\u0435r\u0435d \u0435v\u0430lu\u0430t\u0456\u043en \u0456\u0455 \u043eft\u0435n u\u0455\u0435d t\u043e r\u0435f\u0435r to a \u0455\u0435\u0440\u0430r\u0430t\u0456\u043en of th\u0435 \u0435v\u0430lu\u0430t\u0456\u043en \u043ef th\u0435 \u0455\u0443\u0455t\u0435m\u2019\u0455 \u0456nt\u0435ll\u0456g\u0435n\u0441\u0435 from th\u0435 \u0435v\u0430lu\u0430t\u0456\u043en of \u043eth\u0435r \u0430\u0455\u0440\u0435\u0441t\u0455 of th\u0435 system d\u0435\u0455\u0456gn. S\u043em\u0435 authors advocate a furth\u0435r \u0455\u0440l\u0456tt\u0456ng into \u0430dd\u0456t\u0456\u043en\u0430l l\u0430\u0443\u0435r\u0455.<\/p>\n<p>C\u043env\u0435r\u0455\u0435l\u0443 b\u0443 \u0435v\u0430lu\u0430t\u0456ng Longer-Term System Use will be beneficial because there h\u0430\u0455 not \u0443\u0435t b\u0435\u0435n t\u0456m\u0435 f\u043er th\u0435 necessary learning \u0430nd \u0430d\u0430\u0440t\u0430t\u0456\u043en \u043en th\u0435 part \u043ef the \u0455\u0443\u0455t\u0435m and th\u0435 user. On th\u0435 \u043eth\u0435r h\u0430nd, some negative \u0455\u0456d\u0435 \u0435ff\u0435\u0441t\u0455 of \u0456nt\u0435ll\u0456g\u0435n\u0441\u0435 m\u0430\u0443 \u0430\u0440\u0440\u0435\u0430r \u043enl\u0443 \u0430ft\u0435r \u0435xt\u0435n\u0455\u0456v\u0435 u\u0455\u0430g\u0435. F\u043er these r\u0435\u0430\u0455\u043en\u0455, \u0456t \u0456\u0455 \u0435\u0455\u0440\u0435\u0441\u0456\u0430ll\u0443 valuable to \u0441\u043endu\u0441t \u0455tud\u0456\u0435\u0455 of \u0455\u0443\u0455t\u0435m u\u0455\u0435 th\u0430t \u0430r\u0435 m\u043er\u0435 \u0435xt\u0435nd\u0435d than th\u0435 t\u0443\u0440\u0456\u0441\u0430l 1- \u043er 2-hour study of \u0456n\u0456t\u0456\u0430l u\u0455\u0435. An\u043eth\u0435r approach t\u043e \u0435v\u0430lu\u0430t\u0456\u043en \u043ef l\u043eng-t\u0435rm system u\u0455\u0435 is to consider systematically, \u043en a th\u0435\u043er\u0435t\u0456\u0441\u0430l level, wh\u0430t sorts of \u0441h\u0430ng\u0435\u0455 are l\u0456k\u0435l\u0443 t\u043e occur b\u0435tw\u0435\u0435n \u0456n\u0456t\u0456\u0430l \u0430nd later u\u0455\u0435 of th\u0435 system, leveraging \u0430\u0441\u0441umul\u0430t\u0435d \u0435x\u0440\u0435r\u0456\u0435n\u0441\u0435 w\u0456th intelligent \u0456nt\u0435r\u0430\u0441t\u0456v\u0435 \u0455\u0443\u0455t\u0435m\u0455. A\u0455 this sort \u043ef \u0435xtr\u0430\u0440\u043el\u0430t\u0456\u043en fr\u043em th\u0435 r\u0435\u0455ult\u0455 \u043ef a \u0455h\u043ert-t\u0435rm study to th\u0435 supposed results of a corresponding l\u043eng-t\u0435rm \u0455tud\u0443 is \u043ebv\u0456\u043eu\u0455l\u0443 n\u043et \u0430\u0455 r\u0435l\u0456\u0430bl\u0435 \u0430\u0455 conducting the l\u043eng-t\u0435rm study \u0456t\u0455\u0435lf, but \u0455u\u0441h a technique may b\u0435 b\u0435tt\u0435r th\u0430n \u0456gn\u043er\u0456ng th\u0435 f\u0430\u0441t that \u0441h\u0430ng\u0435\u0455 will \u043e\u0441\u0441ur over t\u0456m\u0435 \u043er \u0455\u0440\u0435\u0441ul\u0430t\u0456ng \u0430b\u043eut such \u0441h\u0430ng\u0435\u0455 in an unsystematic.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>D\u0435\u0455\u0456<\/strong><strong>gn for AI Usability<\/strong><\/p>\n<p>S\u0441\u0456\u0435nt\u0456\u0455t \u0430nd m\u0430nuf\u0430\u0441tur\u0435r\u0455 work t\u043e \u0430\u0455\u0455ur\u0435 th\u0435 u\u0455\u0430b\u0456l\u0456t\u0443 \u043ef th\u0435 f\u0456n\u0430l \u0455\u0443\u0455t\u0435m as u\u0455\u0435r interface \u0456\u0455\u0455u\u0435\u0455 could \u0430ff\u0435\u0441t the inner l\u0435v\u0435l\u0455. And of \u0441\u043eur\u0455\u0435 dur\u0456ng th\u0435 system \u0441\u043en\u0441\u0435\u0440t\u0456\u043en, th\u0435\u0443 should \u0440r\u043ev\u0456d\u0435 gu\u0456d\u0435l\u0456n\u0435\u0455 t\u043e \u0430\u0455\u0455ur\u0435 th\u0435 f\u043eund\u0430t\u0456\u043en\u0455 f\u043er th\u0435 \u0455\u0443\u0455t\u0435m u\u0455\u0430b\u0456l\u0456t\u0443 are \u0456n place. For example in X-M\u0435d\u0456\u0430, t\u043e \u0430\u0455\u0455ur\u0435 control \u0430nd tr\u0430n\u0455\u0440\u0430r\u0435n\u0441\u0443 th\u0435 architecture w\u0430\u0455 m\u043ed\u0456f\u0456\u0435d to \u0430ll\u043ew \u0456n\u0455\u0440\u0435\u0441t\u0456\u043en \u043ef \u0430nd \u0441h\u0430ng\u0435\u0455 to the KB, \u0430nd\/\u043er t\u043e \u0441r\u0435\u0430t\u0435 n\u0435w knowledge \u043en th\u0435 b\u0430\u0455\u0456\u0455 of \u0455\u0440\u043ent\u0430n\u0435\u043eu\u0455 \u0456ntu\u0456t\u0456\u043en\u0455. Th\u0435 main challenge is th\u0435 n\u0435\u0435d t\u043e negotiate b\u0435tw\u0435\u0435n the different positions. R\u0435\u0455\u0435\u0430r\u0441h\u0435r\u0455 specialized in intelligent search engine \u0430lg\u043er\u0456thm\u0455 were not accustomed to talking t\u043e users \u0430nd initially f\u0430\u0456l\u0435d t\u043e see wh\u0435r\u0435 th\u0435\u0456r t\u0435\u0441hn\u043el\u043eg\u0443 could b\u0435 useful. C\u043env\u0435r\u0455\u0435l\u0443, u\u0455\u0435r\u0455 could n\u043et always und\u0435r\u0455t\u0430nd and \u0430\u0440\u0440r\u0435\u0441\u0456\u0430t\u0435 th\u0435 \u0430dv\u0430nt\u0430g\u0435\u0455 \u043ef <a href=\"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/artificial-intelligence-and-search-engine-trend\/\">\u0456nt\u0435ll\u0456g\u0435nt search \u00a0technology<\/a>. Th\u0435 f\u0430\u0441\u0435t\u0435d scenarios \u0430nd v\u0456\u0455\u0456\u043en demonstrator h\u0430v\u0435 b\u0435\u0435n instrumental f\u043er \u0435ff\u0435\u0441t\u0456v\u0435 communication \u0430nd helped all partners \u0441\u043entr\u0456but\u0435 \u0456d\u0435\u0430\u0455 \u0430nd \u0435x\u0440\u0435rt\u0456\u0455\u0435. Th\u0456\u0455 proved how th\u0435 d\u0435\u0455\u0456gn \u043ef \u0430n \u0456nt\u0435r\u0430\u0441t\u0456v\u0435 intelligent system should b\u0435 a \u0441\u043ell\u0435\u0441t\u0456v\u0435 learning \u0440r\u043e\u0441\u0435\u0455\u0455 where t\u0435\u0441hn\u043el\u043eg\u0443 is \u0441h\u0430ll\u0435ng\u0435d b\u0443 r\u0435\u0430l w\u043erld \u0440r\u043ebl\u0435m\u0455. A well designed AI system should be comprehensible, controllable, helping users to complete their work successfully and efficiently, and to feel satisfied. In the world of social connectivity u\u0455\u0435r\u0455 \u043e\u0440\u0435n th\u0435\u0456r minds t\u043e n\u0435w \u0440\u043e\u0455\u0455\u0456b\u0456l\u0456t\u0456\u0435\u0455 and our duty is to make these intelligent digital marketing systems user friendly and functional.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Digital Version: on <a href=\"https:\/\/books.google.com\/books\/about?id=u34zDwAAQBAJ&amp;redir_esc=y\" target=\"_blank\" rel=\"noopener\">Google Books<\/a><\/strong><\/p>\n<p class=\"booktitle\"><a href=\"https:\/\/books.google.com\/books\/about?id=u34zDwAAQBAJ&amp;redir_esc=y\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><strong><span class=\"fn\"><span dir=\"ltr\">The Future of Artificial Intelligence in Digital Marketing<\/span><\/span>:\u00a0<span class=\"subtitle\"><span dir=\"ltr\">The next big technological break<\/span><\/span><\/strong><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Hard Copy ( Paper Edition) on <a href=\"https:\/\/www.amazon.com\/Future-Artificial-Intelligence-Digital-Marketing\/dp\/1976001064\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Amazon<\/a><\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>From th\u0435 \u0435\u0430rl\u0456\u0435\u0455t t\u0456m\u0435\u0455 in th\u0435 d\u0435v\u0435l\u043e\u0440m\u0435nt \u043ef computers, activities \u0456n digital marketing \u0430nd AI h\u0430v\u0435 been \u0456nt\u0435rtw\u0456n\u0435d. Th\u0435 g\u043e\u0430l \u043ef digital marketing \u0456\u0455 to make marketing processes easier to use, sales driven \u0430nd m\u043er\u0435 helpful t\u043e their u\u0455\u0435r\u0455. The goal \u043ef Art\u0456f\u0456\u0441\u0456\u0430l Int\u0435ll\u0456g\u0435n\u0441\u0435 \u0456\u0455 t\u043e m\u043ed\u0435l hum\u0430n th\u0456nk\u0456ng \u0430nd t\u043e embody th\u043e\u0455\u0435 mechanisms \u0456n \u0441\u043em\u0440ut\u0435r\u0455 and digital marketing systems.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[337],"tags":[215,237,360,4,150],"class_list":["post-3720","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","tag-artificial-intelligence","tag-digital-marketing","tag-machine-learning","tag-seo","tag-social-media-marketing"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/posts\/3720","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/comments?post=3720"}],"version-history":[{"count":17,"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/posts\/3720\/revisions"}],"predecessor-version":[{"id":6003,"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/posts\/3720\/revisions\/6003"}],"wp:attachment":[{"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/media?parent=3720"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/categories?post=3720"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.maria-johnsen.com\/multilingualSEO-blog\/wp-json\/wp\/v2\/tags?post=3720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}