Standard safiyo an] in ga mahalarta, amma da za a iya da kuma dole ne ta canja.
Ya zuwa yanzu, Na faɗa muku game da sabon hanyoyin da roƙa da aka yuwuwa ta kwamfuta gudanar tambayoyi. Duk da haka, wanda downside kwamfuta-gudanar tambayoyi shi ne cewa babu wani mutum interviewer ya taimake sa hannu. Wannan wata matsala saboda safiyo ne duka lokaci-cinyewa kuma m. Saboda haka, a nan gaba, duba zanen kaya da za a yi don tsara shirin kusa da mahalarta da kuma sa tsari na amsa tambayoyi more m da game-kamar. Wannan tsari ne da ake kira, wani lokacin gamification.
Alal misali abin da fun binciken zai yi kama, bari mu yi la'akari da Friendsense, wani binciken da aka kunsasshen a matsayin game on Facebook. Sharad Goel, Winter Mason, kuma Duncan Watts (2010) ya so ya kimanta nawa mutãne sun yi zaton su ne kamar su abokai da kuma yadda su ne zahiri, kamar abokai. Wannan tambaya game da real kuma gane hali kama samun kai tsaye a mutane ikon daidai gane su zamantakewa yanayi, kuma yana da abubuwan da siyasa rabuwa da muhimmancin zamantakewa canji. Conceptually, real kuma gane hali kama ne mai sauki abu don auna. The masu bincike zai iya kawai tambaye kuri'a na mutane game da ra'ayin, sa'an nan kuma tambaye su abokai game da ra'ayin (wannan damar domin ji daga real hali yarjejeniya) kuma za su iya tambaye kuri'a na mutane tsammani su friends 'halaye (wannan damar domin ji daga gane hali yarjejeniya). Abin baƙin ciki, shi ne logistically wuya domin yin tambayoyi biyu a wanda ake kara da ita da abokin. Saboda haka, Goel da kuma abokan aiki jũyar da binciken a cikin wani Facebook app da yake fun yi wasa.
Bayan wani ɗan takara yarda da zama a cikin wani bincike binciken, da app zabi wani aboki daga wanda ake kara ta Facebook account, kuma ya ce a question game da hali na cewa aboki (Figure 3.9). Intermixed da tambayoyi game da ka zaba abokai, da wanda ake kara wato amsa tambayoyi game da kanta. Bayan amsa wata tambaya game da wani aboki, da wanda ake kara aka gaya ko ta amsa daidai ko, idan ta aboki ba ce, da wanda ake kara ya iya karfafa ta aboki su shiga. Saboda haka, duba yada a sashi saboda kwayar daukar ma'aikata.
Figure 3.9: Interface daga Friendsense binciken (Goel, Mason, and Watts 2010) . The masu bincike juya wani misali ra'ayi duba a cikin wani fun, gamelike kwarewa. The app tambaye mahalarta biyu tsanani tambayoyi kuma mafi lighthearted tambayoyi, irin su daya aka nuna a wannan hoton. Image amfani da izini daga Sharad Goel.
The hali tambayoyin da aka saba daga Gaba Social Survey. Alal misali, "Shin [abokinka] nuna juyayi tare da Isra'ila fiye da Palasdinawa a gabas ta tsakiya halin da ake ciki?" Da kuma "Dã [abokinka] biya mafi girma haraji ga gwamnati da ta samar da duniya kiwon lafiya?" A saman wadannan m tambayoyi , da masu bincike gauraye a more lighthearted tambayoyi: "Za [abokinka] m sha ruwan inabi a kan giya?" da kuma "dã [abokinka] m da ikon karanta zukatansu, maimakon da ikon tashi?" Wadannan lighthearted tambayoyi sanya tsari more m to mahalarta da kuma sa mai ban sha'awa kwatanta: zai hali yarjejeniyar zama m for tsanani siyasa tambayoyi kamar lighthearted tambayoyi game da sha da kuma superpowers?
Akwai uku main sakamakon binciken. Na farko, abokai kasance mafi kusantar su bayar da wannan amsar fiye da baki, amma ko kusa friends har yanzu saba a game da 30% daga cikin tambayoyin. Na biyu, weights kan-kimanta su yarjejeniya tare da abokansu. A wasu kalmomin, mafi yawan bambancin ra'ayin da ta wanzu a tsakanin abokai ba lura. A karshe, mahalarta suna kuma iya zama sane da sabani da abokai a kan m al'amura na siyasa fiye da lighthearted al'amurran da suka shafi game da sha da kuma superpowers.
Ko da yake app ne ba samuwa ga play (da rashin alheri), shi ne mai kyau misali na yadda masu bincike iya wani misali ra'ayi duba a cikin wani abu mai dadi. More kullum, tare da wasu kerawa da kuma zane aiki, yana yiwuwa ya inganta mai amfani kwarewa ga binciken mahalarta. Saboda haka, gaba lokacin da kake zayyana wani binciken, kai wani lokacin yi tunani game da abin da za ka iya yi don yin kwarewa mafi alhẽri a gare ku mahalarta. Wasu yi taƙawa da cewa wadannan matakai wajen gamification iya m data quality, amma ina ganin cewa gundura mahalarta ne mai nisa mafi girma hadarin data quality.
Aikin Goel da kuma abokan aiki kuma nuna taken na gaba sashen: haxe safiyo da sauran data kafofin. A wannan yanayin da cudanya da binciken da Facebook da masu bincike ta atomatik da damar yin amfani da jerin mahalarta friends. A na gaba sashe, za mu yi la'akari da jinsi tsakanin safiyo da kuma sauran data kafofin a zurfafe.