Mai Horar da Nufa

Ka bugi manufa 30 da sauri kuma da daidaito gwargwadon iko, sannan ka ga yadda nufarka ke bin dokar Fitts. Kyauta, babu rajista.

Daga ƙungiyar HelibrainRobert(Turanci), ɗan takarar digiri na uku a fannin kimiyyar lissafi na halittu, ya duba shiAn wallafa An sake dubawa

Yadda za ka karanta sakamakonka

  • Matsakaicin lokacin kowace manufa: jimillar lokacin zagayen da aka raba da adadin manufofi, a milissakondi (ms). Ƙarami ya fi kyau. Danna da bai kai manufa ba yana cin lokaci, don haka shi ma yana bayyana a nan.
  • Daidaito: bugun da ya kai manufa da aka raba da duk dannawarka a yankin wasa.
  • Bugun da ya fi sauri: manufa ɗaya da ka fi saurin bugawa.
  • Yawan aiki: sauri da wahala a lamba ɗaya, a bit a kowace daƙiƙa (duba ƙasa). Mafi girma ya fi kyau.
  • Jadawali: kowane ɗigo na nuna manufa ɗaya, lokacinta idan aka kwatanta da wahalarta. Layin da aka yi wa ɗigo-ɗigo shi ne layin dokar Fitts na kanka.

Mene ne dokar Fitts?

Dokar Fitts ta ce yayin da manufa ta fi nisa kuma ta fi ƙanƙanta, sai a ɗauki lokaci mai tsawo kafin a bugo ta. A 1954, Paul Fitts ya nuna cewa lokaci yana ƙaruwa a layi madaidaiciya gwargwadon “ma'aunin wahalar” manufa, wanda ake aunawa da bit [1]. A yau, galibi ana rubuta shi da log2(distance / width + 1) [2]. Masu zane suna amfani da dokar wajen sauƙaƙa bugun maɓallai.

Gajerun bayanai

  • Abin da ake aunawa: sauri da daidaiton nufar manufa: ganin inda take, matsawa zuwa gare ta da tsayawa a kanta.
  • Yawan aiki da linzamin kwamfuta: binciken dakin gwaje-gwaje da ya yi amfani da daidaitacciyar hanya ya samu kusan bit 3.7 zuwa 4.9 a kowace daƙiƙa [3].
  • Yawan aiki da yatsa: a wani binciken waya, mutane 16 da suka taɓa manufofi sun kai kusan bit 7 a kowace daƙiƙa [4]. Lambobinmu sun yi amfani da hanya mafi sauƙi (a ƙasa), don haka ba za a iya kwatanta su kai tsaye ba.
  • Ƙananan manufofi a allon taɓawa: taɓawar yatsa kan sauka kusan 1 zuwa 1.5 mm daga inda aka nufa, ko da ba a yi kuskure ba; manufofin da suka fi kusan 7 mm ƙanƙanta suna sa a yi kuskure da yawa [5].
  • Linzamin kwamfuta da taɓawa: ana kwatanta sakamako ne kawai tsakanin masu amfani da irin hanyar shigarwa ɗaya.

Yadda mai horar da nufa ke aiki

  1. Danna Fara a tsakiyar yankin wasa. Agogo zai fara.
  2. Buga manufofin. Manufofi zagaye 30 za su bayyana ɗaya bayan ɗaya, masu girma dabam uku, kuma kowacce za ta yi nisa sosai da wadda ta gabace ta. Dannawa da bai kai manufa ba zai rage daidaitonka; manufa za ta tsaya har sai ka bugo ta.
  3. Duba sakamakonka, tare da layin dokar Fitts naka.

Idan ka raba sakamakonka, abokinka zai samu daidai waɗannan manufofin.

Muna lissafa yawan aiki daga nisan kowace manufa da girmanta kamar yadda aka nuna, ba tare da gyare-gyaren da ma'aunin dakin gwaje-gwaje ke yi bisa inda dannawa suka sauka ba [3]. Shi ya sa muke cewa ka kwatanta da zagayenka na baya.

Me ke shafar nufarka?

  • Nisa da girma. Manufofi masu nisa da ƙanana su ne suka fi ɗaukar lokaci: wannan ita ce dokar Fitts [1, 2].
  • Na'ura. Linzamin kwamfuta, faifan taɓawa da yatsa suna ba da sakamako dabam-dabam. A binciken dakin gwaje-gwaje, faifan taɓawa ya fi linzamin kwamfuta jinkiri sosai [3].
  • Sauri ko kulawa. Gaggawa na ƙara kuskure, kuma kowane kuskure yana cin lokaci. Sakamako mafi kyau yana zuwa ne daga tafiya cikin natsuwa.
  • Shekaru. A wani bincike, manya sun yi kuskure ƙasa da yara masu shekaru 12 zuwa 14, kuma sun fi mutanen masu shekaru 61 zuwa 69 sauri [6].
  • Atisaye. Lokuta kan ragu a zagayen farko-farko yayin da ka saba da wasan.

Abin da wannan gwaji zai iya gaya maka da wanda ba zai iya ba

Mai horar da nufa yana auna sauri da daidaiton nufa a wannan na'ura a yau. Ba gwajin hankali ko lafiyar ƙwaƙwalwarka ba ne, kuma sakamakon ɗan gajeren gwaji ba ya hasashen ƙwarewarka a wasanni.

Ka kwatanta da zagayenka na baya a kan na'ura ɗaya; sabon linzamin kwamfuta ko girman allo dabam yana canza lambobin.

Tambayoyin da ake yawan yi

Wane sakamako ne mai kyau a mai horar da nufa?

Ka kwatanta da zagayenka na baya a na'ura ɗaya: a wasa irin wannan, sakamako mai kyau shi ne wanda ya fi na baya. Idan mutane sun isa sun buga wasan, sakamakon zai kuma nuna yadda zagayenka na farko ya kwatanta da zagayen farko na sauran 'yan wasa masu amfani da irin hanyar shigarwa ɗaya.

Mene ne yawan aiki a bit a kowace daƙiƙa?

Yawan aiki yana haɗa wahalar manufofin da saurin bugun su. Ana ƙididdige wahala da bit: log2(distance / width + 1) [2]. A raba da lokacin da aka ɗauka wajen kowane bugun manufa, sannan a samo matsakaici, a samu bit a kowace daƙiƙa. Binciken dakin gwaje-gwaje da linzamin kwamfuta ya nuna kusan bit 4 zuwa 5 a kowace daƙiƙa ta amfani da hanya mafi tsauri [3].

Shin adalci ne a kwatanta linzamin kwamfuta da taɓawa?

A'a, kuma ba ma yin hakan. Yatsa da linzamin kwamfuta suna motsi ta hanyoyi dabam-dabam, don haka ana kwatanta sakamakonka ne kawai da na waɗanda suka yi amfani da irin hanyar shigarwa ɗaya.

Me ya sa manufofin abokina suke daidai da nawa?

Mahadar raba sakamako tana ɗauke da lambar farkon zagayen, don haka manufofin za su fito iri ɗaya. Hakan yana sa ƙalubalen ya zama na adalci.

Shin mai horar da nufa na Helibrain kyauta ne?

Ƙwarai. Wasan da cikakken sakamakonka kyauta ne: babu rajista, imel ko biyan kuɗi.

Gwaje-gwaje masu alaƙa

Duba dukkan 43 gwaje-gwajen ƙwaƙwalwa kyauta

Kana son yin wannan kowace rana? Manhajar Helibrain (cikin Turanci a yanzu) tana da tsarin kyauta da tsare-tsaren biyan kuɗi.

Majiyoyi

  1. Fitts PM (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology 47(6):381–391. doi.org/10.1037/h0055392
  2. MacKenzie IS (1992). Fitts' law as a research and design tool in human-computer interaction. Human–Computer Interaction 7(1):91–139. doi.org/10.1207/s15327051hci0701_3
  3. Soukoreff RW, MacKenzie IS (2004). Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI. International Journal of Human-Computer Studies 61(6):751–789. doi.org/10.1016/j.ijhcs.2004.09.001
  4. MacKenzie IS (2015). Fitts' throughput and the remarkable case of touch-based target selection. Human-Computer Interaction: Interaction Technologies (HCII 2015), LNCS 9170, 238–249. doi.org/10.1007/978-3-319-20916-6_23
  5. Bi X, Li Y, Zhai S (2013). FFitts law: modeling finger touch with Fitts' law. Proceedings of CHI 2013, 1363–1372. doi.org/10.1145/2470654.2466180
  6. Hertzum M, Hornbæk K (2010). How age affects pointing with mouse and touchpad: a comparison of young, adult, and elderly users. International Journal of Human-Computer Interaction 26(7):703–734. doi.org/10.1080/10447318.2010.487198

Yadda muka ƙirƙiri wannan shafi: ƙungiyar Helibrain ce ta rubuta shi daga binciken da aka jera a sama, kuma Robert(Turanci) (ɗan takarar digiri na uku a fannin kimiyyar lissafi na halittu) ya duba shi a ranar 4 Nuwamba, 2026. Muna sabunta shi idan majiyoyin sun canja.