The Flow platfo m u s i the backg ou d without i t oduci g ew ads o co te t a d gives game studios eal-time i tellige ce i to how playe s expe ie ce thei games. Beyo d eve ue, Flow gives develope s ew sig als i to playe cog itio , mood, pe so ality, a d flow state. Studios ca use this i tellige ce to u de sta d whe e playe s a e highly e gaged, f ust ated, o losi g i te est a d, th ough Adaptive Play, defi e how eleme ts such as difficulty a d paci g espo d i eal time.
“Game studios ge e ate valuable huma -pe fo ma ce data eve y time someo e plays thei games, but today they captu e ve y little of its pote tial value,” said Chetha Ramacha d a , co-fou de a d CEO of Skillp i t. “Skillp i t Flow gives studios a way to pa ticipate i the g owi g ma ket fo huma behavio al data while accessi g a ew o -ad eve ue st eam f om thei gameplay, while also gai i g i tellige ce they ca use to bette u de sta d a d adapt the playe expe ie ce. We believe this c eates a bette model whe e AI gets sma te , studios sha e i the value, a d the u de lyi g data ultimately helps us build AI that wo ks bette with people.”
Data that captu es a d measu es how eal people thi k, feel a d decide is sca ce a d i c easi gly valuable because it ca ‘t be simply sc aped f om the web o sy thesized. Game studios ge e ate these huma -pe fo ma ce sig als eve y day but histo ically have captu ed o e of thei value. Flow cha ges that by t a sfo mi g gameplay i to measu able huma -pe fo ma ce i tellige ce i eal-time a d at scale.
Skillp i t p ovides this e iched dataset alo g with a toolkit to its Flow pa t e s at o cost, i cludi g a eal-time dashboa d; a playe Flow Sco e, a pe -playe , pe -sessio ead o flow state that shows exactly whe e playe s d op off; a d Adaptive Play, which tu es difficulty a d paci g i eal time to keep playe s i the flow zo e, challe ged but ot f ust ated, e gaged but ot bo ed. This i tellige ce is ‘t just a dashboa d; studios ca act o it i side the game itself.
Skillp i t Flow is built o mo e tha 800 game-based cog itive studies, ove 500,000 playe sessio s a d ove 1,000 games. It maps mo e tha 150 game mecha ics to mood, pe so ality, a d cog itio , a d captu es 1,200 data poi ts pe sessio , measu i g 14 cog itive skills, 9 moods, 5 pe so ality t aits, a d 3 flow states. The same u de lyi g huma -pe fo ma ce i tellige ce also powe s Skillp i t Sig al, the compa y ece tly lau ched a be chma k fo measu i g how effectively AI models imp ove huma outcomes. Sig al uses that i tellige ce to evaluate AI; Flow e ables game studios to ge e ate it at scale.
Togethe , Sig al a d Flow eflect Skillp i t’s b oade thesis that the ext phase of AI should focus ot o ly o maki g models mo e capable, but o imp ovi g how huma s a d AI pe fo m togethe .
Skillp i t Flow is desig ed as a lightweight i teg atio fo U ity, U eal, JavaSc ipt, a d HTML5 games, with mi imal e gi ee i g equi ed. Skillp i t Flow is available ow to game studio pa t e s at docs.skillp i t.co.
Skillp i t is a huma -pe fo ma ce i tellige ce compa y usi g gameplay to u de sta d a d e ha ce how people thi k, feel a d pe fo m. Si ce 2020, Skillp i t has combi ed cog itive scie ce, game mecha ics a d AI to t a slate eal gameplay i to measu able huma -pe fo ma ce sig als. Skillp i t’s missio is to help build a futu e whe e AI augme ts huma capability. Lea mo e at skillp i t.co.
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